{ "openapi": "3.1.0", "info": { "title": "Multiples Private Companies API", "version": "1.0.0", "description": "Enterprise data API covering companies, investors, and transactions\n(M&A deals, funding rounds, and IPOs). Company profiles include sector\nclassification, current valuation and market metrics for public\ncompanies, and a summary of deal activity. Transaction records include\nthe target, participating buyers or investors, headline deal terms, and\ncomputed valuation multiples.\n\n**Auth.** Every request requires a valid bearer token; a single key\ngrants access to every endpoint. Contact your account manager to obtain\nor rotate a key.\n\n**Units.** All monetary amounts (`deal_valuation`, `deal_raised`,\n`deal_revenue`, `deal_ebitda`, `market_cap`, `enterprise_value`,\n`revenue_*`, `ebitda_*`, and the aggregate `median`/`q1`/`q3` for\n`valuation`/`raised`/`revenue`/`ebitda`) are in **millions of USD**.\nMultiples (`ev_revenue`, `ev_ebitda`, `pe_*`) are unitless ratios (e.g. 3.48 = 3.48x). Percentage metrics (`*_margin_*`, `*_growth_*`, `rule_of_40`) are expressed in percentage points, not 0-1 fractions, so an `ebitda_margin_ntm` of 40.45 means 40.45%.\n" }, "servers": [ { "url": "https://multiples.vc", "description": "Production" } ], "security": [ { "bearerAuth": [] } ], "paths": { "/api/private/v1/companies": { "post": { "summary": "List / search companies (offset-paginated)", "description": "Ad-hoc search, batch-by-IDs (`filters.id`), name lookup\n(`filters.name`), or mirror sync (`filters.updated_at`).\n", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/ListRequest_Companies" }, "examples": { "search": { "summary": "Filter European fintechs founded since 2005", "value": { "filters": { "themes": [ "FinTech" ], "region": [ "Western Europe", "Northern Europe" ], "founded_min": 2005, "active": true }, "sort": "founded:desc", "limit": 3 } }, "mirror_sync": { "summary": "Daily change-feed pull", "value": { "filters": { "updated_at": "2026-05-13T00:00:00Z" }, "sort": "updated_at:asc", "limit": 1000 } }, "batch_lookup": { "summary": "Fetch a specific set of company IDs", "value": { "filters": { "id": [ "6f331dee-e4e5-478c-89cd-1aedf66f9515", "9e544d7f-c3a7-483b-b29d-e559f3b062dc" ] } } } } } } }, "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "required": [ "data", "meta" ], "properties": { "data": { "type": "array", "items": { "$ref": "#/components/schemas/Company" } }, "meta": { "$ref": "#/components/schemas/PageMeta" } } }, "examples": { "ok": { "value": { "data": [ { "id": "aaeb7348-5d44-4c29-9910-1c30c66efb77", "name": "XBP Europe", "short_name": "XBP Europe", "description": "XBP Global Holdings Inc is a multinational technology and services company that drives intelligent workflows for organizations. Through its proprietary platforms, agentic AI-driven automation, and domain expertise across industries and the public and private sectors, the firm enables its clients to entrust their digital transformations and workflows. By combining innovation with execution excellence, XBP Global helps businesses reimagine business process automation and enable digital transformation.", "website": "https://www.xbpglobal.com", "linkedin": "https://www.linkedin.com/company/xbp-europe", "country": "USA", "region": "Western Europe", "city": "Staines-upon-Thames", "area": null, "founded": 2022, "verticals": [ "Financial Services Software", "Public Sector & Non-Profit Software", "IT Consulting" ], "themes": [ "FinTech", "B2B SaaS", "Vertical SaaS", "GovTech" ], "client_focus": [ "B2B" ], "revenue_model": [ "Services" ], "company_type": [ "Public company" ], "ownership": "Publicly listed", "active": true, "ipoed": "2023-11-30", "ceo": "Mr. Andrej Jonovic", "created_at": "2026-01-11T11:06:02.563888+00:00", "updated_at": "2026-06-12T23:32:35.105276+00:00", "deleted": false, "is_public": true }, { "id": "0206f1e2-369b-44ec-8ca1-a05058b6cb1b", "name": "Payoneer", "short_name": "Payoneer", "description": "Payoneer Global Inc is a financial technology company purpose-built to enable the world’s small and medium-sized businesses (SMB(s)) to grow and operate their businesses around the world by reliably and securely connecting them to the digital economy. The company started to empower commerce by connecting businesses, professionals, countries, and currencies with its diversified cross-border payments platform.", "website": "https://www.payoneer.com", "linkedin": "https://www.linkedin.com/company/optile", "country": "USA", "region": "Western Europe", "city": "Munich", "area": "New York", "founded": 2021, "verticals": [ "Payment Service Providers", "Money Transfer" ], "themes": [ "FinTech" ], "client_focus": [ "B2B" ], "revenue_model": [ "Commission", "Subscription" ], "company_type": [ "Public company" ], "ownership": "Publicly listed", "active": true, "ipoed": "2021-06-28", "ceo": "Mr. John Caplan", "created_at": "2026-01-11T11:06:02.563888+00:00", "updated_at": "2026-06-12T23:32:34.423465+00:00", "deleted": false, "is_public": true }, { "id": "8ccc5eb9-1879-40f4-b4bf-6e66141f0660", "name": "Crypto Blockchain Industries", "short_name": "Crypto Blockchain Industries", "description": "Crypto Blockchain Industries SA is a company offering a comprehensive investment approach covering the majority aspects of blockchain.", "website": "https://www.cbicorp.io", "linkedin": "https://www.linkedin.com/company/cbi-crypto-blockchain-industries/?originalSubdomain=fr", "country": "FRA", "region": "Western Europe", "city": "Paris", "area": null, "founded": 2021, "verticals": [ "Gaming - Console & PC", "Crypto & Web3 Platforms" ], "themes": [ "FinTech" ], "client_focus": [ "B2C", "B2B" ], "revenue_model": [ "Product sales" ], "company_type": [ "Public company" ], "ownership": "Publicly listed", "active": true, "ipoed": "2021-10-26", "ceo": null, "created_at": "2026-01-11T11:06:02.563888+00:00", "updated_at": "2026-06-12T23:32:30.567826+00:00", "deleted": false, "is_public": true } ], "meta": { "page": 1, "limit": 3, "returned": 3, "total": 30, "has_more": true } } } } } } } } } }, "/api/private/v1/companies/{id}": { "get": { "summary": "Single company profile + stats", "parameters": [ { "$ref": "#/components/parameters/PathId" }, { "$ref": "#/components/parameters/Fields" }, { "$ref": "#/components/parameters/IncludeDeleted" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "$ref": "#/components/schemas/CompanyProfile" } } }, "examples": { "public_company": { "summary": "Public company - full fundamentals + valuation block", "value": { "data": { "id": "6f331dee-e4e5-478c-89cd-1aedf66f9515", "name": "Salesforce", "short_name": "Salesforce", "website": "https://www.salesforce.com", "linkedin": "https://linkedin.com/company/salesforce", "company_type": [ "Public company" ], "ownership": "Publicly listed", "description": "Salesforce provides enterprise cloud computing solutions. The company offers customer relationship management technology that brings companies and customers together. Its Customer 360 platform helps the group deliver a single source of truth, connecting customer data across systems, apps, and devices to help companies sell, service, market, and conduct commerce. It also offers Service Cloud for customer support, Marketing Cloud for digital marketing campaigns, Commerce Cloud as an e-commerce engine, the Salesforce Platform, which allows enterprises to build applications, and other solutions, such as MuleSoft for data integration.", "verticals": [ "Sales & Marketing Automation Software", "ERP Software", "Productivity Software", "Vertical AI Applications", "Artificial Intelligence" ], "themes": [ "B2B SaaS", "Horizontal SaaS", "MarTech" ], "city": "San Francisco, CA", "country": "USA", "region": "North America", "area": "California", "founded": 1999, "ipoed": "2004-06-23", "ceo": "Mr. Marc Benioff", "employee_count": 76453, "revenue_model": [ "Subscription", "Licensing" ], "client_focus": [ "B2B" ], "active": true, "created_at": "2026-01-11T11:06:02.563888+00:00", "updated_at": "2026-06-12T23:32:03.413755+00:00", "deleted": false, "is_public": true, "stock_listing": { "id": "118704c4-de11-4831-8850-7cfcb84d75a0", "ticker": "CRM", "exchange": "NYS", "currency": "USD" }, "valuation": { "market_cap": 124307.82, "enterprise_value": 154354.82, "price_to_book": 3.631082, "price_to_sales": 3.30033, "price_to_cash_flow": 9.285051, "price_to_free_cash_flow": 9.643202, "beta": 1.302664, "updated_at": null }, "fundamentals": { "revenue_fy": 41525, "ebitda_fy": 17090.714285714286, "ev_revenue_ntm": 3.23, "ev_revenue_ltm": 3.5652, "ev_revenue_fy": 3.7172, "ev_ebitda_ntm": 7.9635, "ev_ebitda_ltm": 8.6954, "ev_ebitda_fy": 9.0315, "pe_ntm": 9.9568, "pe_ltm": 10.3527, "pe_fy": 10.3858, "ebitda_margin_ntm": 40.5601, "ebitda_margin_ltm": 41.0011, "ebitda_margin_fy": 41.1577, "revenue_growth_ntm_ltm": 10.3771, "revenue_growth_fy1_fy": 11.0339, "rule_of_40": 50.9004, "rule_of_40_ltm": 51.3782 }, "deal_activity": { "total_fundings_as_target": 0, "total_acquisitions_as_target": 0, "total_investments_made": 109, "last_funding_date": null, "last_deal_date": null } } } }, "private_company": { "summary": "Private company - no valuation / fundamentals", "value": { "data": { "id": "9e544d7f-c3a7-483b-b29d-e559f3b062dc", "name": "SFR", "short_name": "SFR", "website": "http://www.sfr.fr", "linkedin": "https://www.linkedin.com/company/hawthorn-suites-by-wyndh", "company_type": [ "Private company" ], "ownership": "Acquired", "description": "SFR is a Paris-headquartered telecommunications provider operating France's second-largest mobile network and fixed broadband services. The company delivers postpaid and prepaid mobile plans, 5G connectivity, fiber internet up to 8 Gbps, and business data solutions to over 20 million customers. As part of the Altice France group, SFR maintains extensive coverage through 28,000 mobile sites and invests in nationwide fiber rollout, serving residential, enterprise, and wholesale segments.", "verticals": [ "Telecom Service Providers" ], "themes": null, "city": "Paris", "country": "FRA", "region": "Western Europe", "area": null, "founded": 1987, "ipoed": null, "ceo": null, "employee_count": null, "revenue_model": [ "Subscription" ], "client_focus": [ "B2C", "B2B" ], "active": false, "created_at": "2026-02-27T19:17:04.545907+00:00", "updated_at": "2026-06-12T00:00:47.169432+00:00", "deleted": false, "is_public": false, "stock_listing": null, "valuation": null, "fundamentals": null, "deal_activity": { "total_fundings_as_target": 1, "total_acquisitions_as_target": 3, "total_investments_made": 0, "last_funding_date": "2019-03-27", "last_deal_date": "2026-06-08" } } } } } } } } } } }, "/api/private/v1/companies/resolve": { "post": { "summary": "Bulk name → company-ID mapping", "requestBody": { "required": true, "content": { "application/json": { "schema": { "type": "object", "required": [ "names" ], "properties": { "names": { "type": "array", "maxItems": 200, "items": { "type": "string" }, "minItems": 1 } } }, "examples": { "default": { "value": { "names": [ "Salesforce", "Microsof", "Zzqx Nonexistent Co" ] } } } } } }, "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "type": "array", "items": { "$ref": "#/components/schemas/ResolveMatch" } } } }, "examples": { "ok": { "value": { "data": [ { "query": "Salesforce", "id": "6f331dee-e4e5-478c-89cd-1aedf66f9515", "match_type": "exact" }, { "query": "Microsof", "id": null, "match_type": "ambiguous", "candidates": [ { "id": "2ad87f8c-ac55-4e3c-bdd6-ac1a5e50f8a9", "name": "Microsoft", "country": "USA", "score": 0.89 }, { "id": "6e9b34f8-3a73-4246-9a19-01cfd3402215", "name": "Microsoft Accelerator", "country": "USA", "score": 0.38 }, { "id": "93fe7742-c1a5-4d71-bd9b-a812f094eced", "name": "Microsoft for Startups", "country": "USA", "score": 0.36 } ] }, { "query": "Zzqx Nonexistent Co", "id": null, "match_type": "no_match" } ] } } } } } } } } }, "/api/private/v1/companies/{id}/fundings": { "get": { "summary": "Funding rounds where this company is the target", "parameters": [ { "$ref": "#/components/parameters/PathId" }, { "$ref": "#/components/parameters/Page" }, { "$ref": "#/components/parameters/Limit" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/FundingList" }, "examples": { "ok": { "value": { "data": [ { "id": "25fc15d9-3be7-4a78-a507-d4ba4e8124e4", "deal_date": "2025-12-16", "deal_type": "Growth", "deal_subtype": "Undisclosed stage", "deal_synopsis": "Databricks, a data and AI company, raised over $4 billion in a Series L funding round on December 16, 2025, valuing the company at $134 billion post-money. The round was led by Insight Partners, Fidelity Management & Research Company, and J.P. Morgan Asset Management, with participation from Blackstone, Coatue, NEA, T. Rowe Price, Winslow Capital, and others including Andreessen Horowitz, BlackRock, GIC, MGX, Ontario Teachers Pension Plan, Robinhood Ventures, Temasek, and Thrive Capital.\nAt the time of the announcement, Databricks reported a $4.8 billion revenue run-rate during its third fiscal quarter, growing over 55% year-over-year, with positive free cash flow over the last 12 months. The company achieved over $1 billion run-rate revenue from its Data Warehousing business and over $1 billion from its AI products, sustaining a net retention rate above 140% and serving more than 700 customers with over $1 million annual revenue run-rate each.\nThe funding supports acceleration of products like Lakebase (a serverless Postgres database for AI), Databricks Apps, and Agent Bricks for building data-intelligent applications, amid strong enterprise adoption by over 20,000 organizations including more than 60% of the Fortune 500.", "deal_valuation": 134000, "deal_raised": 4000, "deal_revenue": 4800, "deal_ebitda": null, "deal_multiples": { "ev_revenue": 27.916666666666668, "ev_ebitda": null }, "target": { "id": "f7a9cdb5-1da4-4970-b071-fb887bea2232", "name": "Databricks", "short_name": "Databricks", "website": "https://www.databricks.com", "country": "USA" }, "buyers": [], "lead_investors": [ { "id": "30dfe78d-42ac-4359-90b3-a74fa16672ab", "name": "Fidelity", "country": "USA", "website": "https://www.fidelity.com", "short_name": "Fidelity" }, { "id": "c7e9c1a4-65b7-4abc-80bc-0b4b9a848679", "name": "Insight Partners", "country": "USA", "website": "http://www.insightpartners.com", "short_name": "Insight Partners" }, { "id": "46205326-2912-42c4-803b-c22c49ea1877", "name": "JPMorgan Asset Management", "country": "AUS", "website": "https://am.jpmorgan.com", "short_name": "JPMorgan Asset Management" } ], "created_at": "2026-03-02T20:07:44.978066+00:00", "updated_at": "2026-03-02T20:07:44.978066+00:00", "deleted": false }, { "id": "3423649c-d8c1-438c-91cc-31d5332261cf", "deal_date": "2025-09-08", "deal_type": "Growth", "deal_subtype": "Series J", "deal_synopsis": "Databricks, a data and AI company providing a platform for machine learning, analytics, and AI applications on enterprise data, closed its Series K funding round on September 8, 2025, raising $1 billion at a $100 billion post-money valuation. The round was co-led by Andreessen Horowitz, Insight Partners, MGX, Thrive Capital, and WCM Investment Management, matching the specified investors. This valuation marks a significant increase from prior rounds, including $62 billion in December 2024 and earlier raises totaling over $20 billion.\nThe funding supports acceleration of Databricks' AI strategy, including expansion of Agent Bricks for building production AI agents, the new Lakebase operational database category optimized for AI agents, global growth, AI acquisitions, and research. At the time of the announcement, Databricks reported surpassing a $4 billion revenue run-rate in Q2 2025, growing over 50% year-over-year, with AI products exceeding $1 billion revenue run-rate. Additional traction includes positive free cash flow over the last 12 months, net retention rate over 140%, and more than 650 customers with over $1 million annual revenue run-rate.\nThe round was oversubscribed, reflecting strong investor interest amid booming demand for AI apps and agents, positioning Databricks as one of the world's most valuable private companies alongside SpaceX and ByteDance.", "deal_valuation": 100000, "deal_raised": 1000, "deal_revenue": 4000, "deal_ebitda": null, "deal_multiples": { "ev_revenue": 25, "ev_ebitda": null }, "target": { "id": "f7a9cdb5-1da4-4970-b071-fb887bea2232", "name": "Databricks", "short_name": "Databricks", "website": "https://www.databricks.com", "country": "USA" }, "buyers": [], "lead_investors": [ { "id": "8433767b-a7ba-48a0-b509-49131878380b", "name": "Andreessen Horowitz", "country": "USA", "website": "http://www.a16z.com", "short_name": "Andreessen Horowitz" }, { "id": "c7e9c1a4-65b7-4abc-80bc-0b4b9a848679", "name": "Insight Partners", "country": "USA", "website": "http://www.insightpartners.com", "short_name": "Insight Partners" }, { "id": "0cf9627c-105e-4227-9448-61db9b3c1dd9", "name": "MGX", "country": "ARE", "website": "https://www.mgx.ae", "short_name": "MGX" }, { "id": "c68aa2fe-2e22-4f08-ac33-503b3930179a", "name": "Thrive Capital", "country": "USA", "website": "http://thrivecap.com", "short_name": "Thrive Capital" }, { "id": "04623bd8-662d-4514-b9f2-1a8ac5caa2a2", "name": "WCM Investment Management", "country": "USA", "website": "http://www.wcminvest.com/", "short_name": "WCM Investment Management" } ], "created_at": "2026-03-02T20:07:38.995787+00:00", "updated_at": "2026-03-02T20:07:38.995787+00:00", "deleted": false }, { "id": "e63fd87e-235c-4722-b833-3470f326541f", "deal_date": "2025-01-02", "deal_type": "Growth", "deal_subtype": "Undisclosed stage", "deal_synopsis": "Databricks, a data intelligence platform specializing in data and AI solutions, raised more than $4 billion in a Series L funding round at a $134 billion post-money valuation on December 16, 2025. The round was led by Insight Partners, Fidelity Management & Research Company, and J.P. Morgan Asset Management, with participation from Andreessen Horowitz, BlackRock, Blackstone, and others. This marks the third major fundraise in under a year, following a Series K at over $100 billion valuation.\nThe company reported a $4.8 billion revenue run-rate in Q3 2025, up over 55% year-over-year, with more than $1 billion from AI products and over $1 billion from its Data Warehousing business. It also achieved positive free cash flow over the last 12 months, net retention rate above 140%, and over 700 customers with more than $1 million annual run-rate revenue.\nProceeds will advance strategic products like Lakebase (serverless Postgres database for AI), Databricks Apps, and Agent Bricks (AI agent platform), while providing employee liquidity and supporting AI acquisitions.", "deal_valuation": 134000, "deal_raised": 1567.9, "deal_revenue": 4800, "deal_ebitda": null, "deal_multiples": { "ev_revenue": 27.916666666666668, "ev_ebitda": null }, "target": { "id": "f7a9cdb5-1da4-4970-b071-fb887bea2232", "name": "Databricks", "short_name": "Databricks", "website": "https://www.databricks.com", "country": "USA" }, "buyers": [], "lead_investors": [], "created_at": "2026-03-02T20:07:24.17421+00:00", "updated_at": "2026-03-02T20:07:24.17421+00:00", "deleted": false } ], "meta": { "page": 1, "limit": 3, "returned": 3, "total": 13, "has_more": true } } } } } } } } } }, "/api/private/v1/companies/{id}/sellside": { "get": { "summary": "M&A deals where this company is the target (sell-side)", "parameters": [ { "$ref": "#/components/parameters/PathId" }, { "$ref": "#/components/parameters/Page" }, { "$ref": "#/components/parameters/Limit" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/MnaList" }, "examples": { "ok": { "value": { "data": [ { "id": "8300f126-fda0-4a28-8107-caf6ad877c28", "deal_date": "2026-06-08", "deal_type": "M&A", "deal_subtype": "Strategic M&A", "deal_synopsis": "Altice France signed a memorandum of understanding with a consortium comprising Bouygues Telecom, Free–iliad Group, and Orange for the acquisition of SFR assets, with the transaction based on a total enterprise value of EUR 20.35 billion and a potential earn-out of up to EUR 0.65 billion. Bouygues Telecom is allocated around 42% of the price, Free–iliad 31%, and Orange 27%, with signing of definitive documents expected in the second half of 2026 and closing targeted for the second half of 2027 after regulatory approvals.\nThe rationale is to create a stronger, more resilient French telecom market with greater investment capacity, infrastructure development, and long-term value for stakeholders. The transaction is expected to generate about EUR 1.0 billion per year in EBITDAaL–Capex synergies, with roughly 70% of annualized net synergies expected by 2032. Based on 2025 figures for the scope under consideration after adjustments, the combined assets generated EUR 8.0 billion of revenue and EUR 2.6 billion of EBITDAaL; Bouygues Telecom’s share of the transaction would represent about 52% of revenue and 42% of EBITDAaL, while the overall split across buyers would also be sensitive to customer-base changes before closing.\nSFR is a subsidiary of Altice France. In 2024, SFR reported revenues of EUR 10.0 billion. The proposed transaction also includes SFR Business, described as representing around EUR 1.2 billion in sales within the scope announced. The price includes standard closing-account adjustments, debt-related adjustments, and mechanisms tied to compliance with seller commitments on regulation and investment.", "deal_valuation": 23440, "deal_raised": null, "deal_revenue": 9950, "deal_ebitda": 3160, "deal_multiples": { "ev_revenue": 2.355778894472362, "ev_ebitda": 7.417721518987342 }, "target": { "id": "9e544d7f-c3a7-483b-b29d-e559f3b062dc", "name": "SFR", "short_name": "SFR", "website": "http://www.sfr.fr", "country": "FRA" }, "buyers": [ { "id": "34aa9760-ec71-4c11-8cb0-a7a2ba1d435e", "name": "Bouygues Telecom", "country": "FRA", "website": "https://www.corporate.bouyguestelecom.fr", "short_name": "Bouygues Telecom" }, { "id": "273848b9-3fa8-4ba5-9eef-54dcfda8435c", "name": "Iliad", "country": "FRA", "website": "https://www.iliad.fr/", "short_name": "Iliad" }, { "id": "c60998bf-1484-4a5d-91c9-1f29de8f05ad", "name": "Orange", "country": "FRA", "website": "https://www.orange.com", "short_name": "Orange" } ], "lead_investors": [], "created_at": "2026-06-09T12:22:02.961522+00:00", "updated_at": "2026-06-09T12:22:55.646063+00:00", "deleted": false }, { "id": "6a58a09d-a98a-4310-9f62-4543253d80e4", "deal_date": "2017-06-20", "deal_type": "M&A", "deal_subtype": "Strategic M&A", "deal_synopsis": "Telenet closed the acquisition of SFR Belux from Altice NV on June 20, 2017, for €400 million on a cash-free and debt-free basis. SFR Belux consisted of Coditel Brabant BVBA and Coditel Sarl, operating cable networks in greater Brussels, parts of Wallonia in Belgium, and Luxembourg, previously under Numericable branding before rebranding to SFR in late 2015 and early 2016.\nThe deal enabled Telenet to expand its cable footprint into these regions and position itself as a convergent telecom operator serving residential and business customers in Belgium. Financing included €210 million from revolving credit facilities and the balance from equity, with plans for €12 million in network modernization investments over 2017-2018 and projected annual run-rate synergies of €16 million by 2021.\nPost-acquisition impacts appeared in Telenet's financials, with SFR Belux contributing €14.8 million to Q4 2017 revenue and adding to customer bases including approximately 82,200 video subscribers and 48,100 broadband subscribers by year-end.", "deal_valuation": 432, "deal_raised": null, "deal_revenue": 1255, "deal_ebitda": 548, "deal_multiples": { "ev_revenue": 0.34422310756972113, "ev_ebitda": 0.7883211678832117 }, "target": { "id": "9e544d7f-c3a7-483b-b29d-e559f3b062dc", "name": "SFR", "short_name": "SFR", "website": "http://www.sfr.fr", "country": "FRA" }, "buyers": [ { "id": "ec9a64e4-6436-4ac4-beb5-c565542f2fef", "name": "Telenet Holding", "country": "BEL", "website": "http://telenet.be", "short_name": "Telenet Holding" } ], "lead_investors": [], "created_at": "2026-03-02T20:04:38.149249+00:00", "updated_at": "2026-03-02T20:04:38.149249+00:00", "deleted": false }, { "id": "a6220bfa-3717-4362-a58e-6a740ec00d1b", "deal_date": "2014-04-07", "deal_type": "M&A", "deal_subtype": "Strategic M&A", "deal_synopsis": "Numericable Group, controlled by Altice, acquired SFR, France's second-largest mobile and fixed telecom operator, from Vivendi in a deal announced in April 2014 and completed on November 27, 2014. The transaction combined Numericable's cable network expertise with SFR's mobile and broadband operations to create Numericable-SFR, a leading French fixed-mobile convergence player. The deal structure included €13.5 billion in cash at closing on a cash-free/debt-free basis, a 20% equity stake in the combined listed entity for Vivendi, and a potential €750 million earn-out if the combined group's EBITDA minus Capex reached €2 billion in a specified period.\nVivendi selected Numericable's revised offer over a competing bid from Bouygues, valuing SFR at over €17 billion for 100%, which represented a premium to sector averages with an implied 2014e EV/EBITDA multiple of 5.6x compared to 6.0x Telco EU average. The acquisition was financed through €8.4 billion in bonds, bank loans, and a capital increase, backed by a syndicate of international banks. SFR's tower assets were planned for transfer to a third party as part of the deal terms. This merger positioned Numericable-SFR as a stronger competitor to Orange and Free in the consolidating French telecom market.", "deal_valuation": 18360, "deal_raised": null, "deal_revenue": 11016, "deal_ebitda": 3279, "deal_multiples": { "ev_revenue": 1.6666666666666667, "ev_ebitda": 5.5992680695333945 }, "target": { "id": "9e544d7f-c3a7-483b-b29d-e559f3b062dc", "name": "SFR", "short_name": "SFR", "website": "http://www.sfr.fr", "country": "FRA" }, "buyers": [ { "id": "14e1819d-7f68-4044-852e-bfb0b32ae42b", "name": "Numericable", "country": "FRA", "website": "http://numericable.fr", "short_name": "Numericable" } ], "lead_investors": [], "created_at": "2026-03-02T20:03:51.909293+00:00", "updated_at": "2026-03-02T20:03:51.909293+00:00", "deleted": false } ], "meta": { "page": 1, "limit": 3, "returned": 3, "total": 3, "has_more": false } } } } } } } } } }, "/api/private/v1/companies/{id}/buyside": { "get": { "summary": "Deals where this company appears as investor or buyer (buy-side)", "description": "Deals in which this company participated as a buyer (M&A) or as a lead investor (funding rounds). Each row carries a `role` field indicating how the company took part.\n", "parameters": [ { "$ref": "#/components/parameters/PathId" }, { "$ref": "#/components/parameters/Page" }, { "$ref": "#/components/parameters/Limit" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "type": "array", "items": { "$ref": "#/components/schemas/InvestmentRow" } }, "meta": { "$ref": "#/components/schemas/PageMeta" } } }, "examples": { "ok": { "value": { "data": [ { "id": "91062f13-15cc-4042-8489-122b69728e04", "deal_date": "2026-06-07", "deal_type": "M&A", "deal_subtype": "Strategic M&A", "deal_synopsis": "Salesforce announced on June 8, 2026 that it signed a definitive agreement to acquire m3ter, a metering and rating platform for consumption-based monetization, with the transaction expected to close in the second quarter of Salesforce’s fiscal year 2027 subject to customary closing conditions. The deal is intended to add high-volume mediation, metering, and rating capabilities natively to Agentforce Revenue Management and support Salesforce’s usage-based monetization and billing stack.\nm3ter is described as a platform purpose-built for consumption-based monetization, focused on metering and rating for high-volume usage scenarios. The announcement does not disclose the acquisition price, valuation, revenue, EBITDA, or deal structure in the available information.", "deal_valuation": null, "deal_raised": null, "deal_revenue": null, "deal_ebitda": null, "deal_multiples": { "ev_revenue": null, "ev_ebitda": null }, "target": { "id": "7a1c5797-289b-4b6a-a182-96e16c423b8b", "name": "m3ter", "short_name": "m3ter", "website": "https://m3ter.com", "country": "GBR" }, "buyers": [ { "id": "6f331dee-e4e5-478c-89cd-1aedf66f9515", "name": "Salesforce", "country": "USA", "website": "https://www.salesforce.com", "short_name": "Salesforce" } ], "lead_investors": [], "created_at": "2026-06-09T12:22:02.961522+00:00", "updated_at": "2026-06-09T12:22:04.966251+00:00", "deleted": false, "role": "buyer" }, { "id": "a9b26d76-b419-4afe-b378-21fa13e7cdf1", "deal_date": "2026-06-01", "deal_type": "M&A", "deal_subtype": "Strategic M&A", "deal_synopsis": "Salesforce signed a definitive agreement to acquire Contentful in June 2026; the financial terms were not disclosed in the announcement. Reporting around the deal suggests a transaction value of about USD 1,000 million to USD 1,500 million, but this was not confirmed by Salesforce. Contentful had previously been valued at over USD 3,000 million in its 2021 funding round, and the deal is expected to close in Salesforce’s fiscal Q3 2027 subject to regulatory approvals.\nStrategically, Salesforce said the acquisition expands its content capabilities for Agentforce and its broader Customer 360 platform by adding a composable, API-first content layer used by more than 4,800 brands. Third-party coverage says Contentful is used by nearly 30% of the Fortune 500 and that its product focus is headless CMS and digital experience delivery across web, mobile, and emerging channels. The transaction is described as part of Salesforce’s push to strengthen AI-enabled content operations, though the sources provided do not disclose revenue, EBITDA, or deal multiples for Contentful.\nContentful was founded in Berlin in 2013 by Sascha Konietzke and Paolo Negri and has offices in Berlin, Denver, London, New York, and San Francisco. The company has raised roughly USD 337 million to just under USD 350 million across five funding rounds, including a USD 175 million Series F in 2021 led by Tiger Global, which valued it at over USD 3,000 million.", "deal_valuation": 1000, "deal_raised": null, "deal_revenue": null, "deal_ebitda": null, "deal_multiples": { "ev_revenue": null, "ev_ebitda": null }, "target": { "id": "bd3a2f20-8d2c-4188-bdf9-2083a65f43dd", "name": "Contentful", "short_name": "Contentful", "website": "https://www.contentful.com", "country": "DEU" }, "buyers": [ { "id": "6f331dee-e4e5-478c-89cd-1aedf66f9515", "name": "Salesforce", "country": "USA", "website": "https://www.salesforce.com", "short_name": "Salesforce" } ], "lead_investors": [], "created_at": "2026-06-09T12:22:02.961522+00:00", "updated_at": "2026-06-09T12:22:03.72798+00:00", "deleted": false, "role": "buyer" }, { "id": "4f367f94-c06b-4d04-85ef-d135bf991299", "deal_date": "2026-05-06", "deal_type": "Growth", "deal_subtype": "Series D", "deal_synopsis": "ElevenLabs closed its Series D funding round on May 5, 2026, raising $500 million at an $11 billion valuation. The round, first announced in February 2026, reached over $550 million in total commitments across three tranches. The final close included institutional investors BlackRock, Wellington Management, D.E. Shaw, and Schroders; enterprise investors NVIDIA (via NVentures), Salesforce Ventures, Santander, KPN, and Deutsche Telekom; and individual investors Jamie Foxx, Eva Longoria, and Hwang Dong-hyuk. In March 2026, Robinhood's closed-end fund RVI also purchased approximately $20 million of Series D preferred stock.\nThe funding reflects strong momentum in ElevenLabs' business. The company announced it crossed $500 million in annual recurring revenue as of early 2026, up from $350 million at the end of 2025—a 43% increase year-over-year. In Q1 2026 alone, the company added $100 million in net new ARR, according to co-founder and CEO Mati Staniszewski. Additionally, ElevenLabs closed a $100 million secondary tender offer in May 2026, marking the second such transaction in roughly six months following a previous tender in September 2025.\nElevenLabs operates as a voice AI platform providing text-to-speech and audio generation capabilities. The company also created ElevenMusic, a music generation product positioned as a competitor to Suno and Udio. The company serves both individual creators and enterprise customers across multiple verticals.", "deal_valuation": 11000, "deal_raised": null, "deal_revenue": 500, "deal_ebitda": null, "deal_multiples": { "ev_revenue": 22, "ev_ebitda": null }, "target": { "id": "4ea13f41-2f9d-4c34-bd37-0a4448768c7f", "name": "ElevenLabs", "short_name": "ElevenLabs", "website": "http://elevenlabs.io", "country": "POL" }, "buyers": [], "lead_investors": [], "created_at": "2026-05-06T16:33:56.715589+00:00", "updated_at": "2026-05-06T16:33:56.715589+00:00", "deleted": false, "role": "buyer" } ], "meta": { "page": 1, "limit": 3, "returned": 3, "total": 108, "has_more": true } } } } } } } } } }, "/api/private/v1/companies/{id}/investors": { "get": { "summary": "Investors who have funded this company", "parameters": [ { "$ref": "#/components/parameters/PathId" }, { "$ref": "#/components/parameters/Page" }, { "$ref": "#/components/parameters/Limit" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "type": "array", "items": { "allOf": [ { "$ref": "#/components/schemas/InvestorRef" }, { "type": "object", "properties": { "rounds_participated": { "type": "integer", "description": "Number of funding rounds this investor took part in for this company" }, "is_lead_any_round": { "type": "boolean" }, "first_round_date": { "type": "string", "format": "date", "nullable": true }, "last_round_date": { "type": "string", "format": "date", "nullable": true } } } ] } }, "meta": { "$ref": "#/components/schemas/PageMeta" } } }, "examples": { "ok": { "value": { "data": [ { "id": "31166f62-2e81-4f84-981b-dff7f650574c", "name": "Allianz Capital", "short_name": "Allianz Capital", "country": "DEU", "website": "http://allianzcapitalpartners.com", "rounds_participated": 1, "is_lead_any_round": false, "first_round_date": "2019-03-27", "last_round_date": "2019-03-27" }, { "id": "6a9ff4b3-5dcd-4840-ba47-fc05e9e119f9", "name": "OMERS Infrastructure", "short_name": "OMERS Infrastructure", "country": "CAN", "website": "https://www.omersinfrastructure.com/", "rounds_participated": 1, "is_lead_any_round": true, "first_round_date": "2019-03-27", "last_round_date": "2019-03-27" }, { "id": "aade62b0-f30b-4108-ac5b-5d1e87fd46e8", "name": "AXA Investment Managers", "short_name": "AXA Investment Managers", "country": "FRA", "website": "https://www.axa-im.com", "rounds_participated": 1, "is_lead_any_round": false, "first_round_date": "2019-03-27", "last_round_date": "2019-03-27" } ], "meta": { "page": 1, "limit": 3, "returned": 3, "total": 3, "has_more": false } } } } } } } } } }, "/api/private/v1/investors": { "post": { "summary": "List / search investors", "description": "List and search investors - organisations (VC/PE firms, corporates, and other entities) that have led funding rounds or acquired companies in the dataset. Filter by name, country, or a change-feed checkpoint.\n", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/ListRequest_Investors" }, "examples": { "us_investors": { "summary": "US investors matching a name", "value": { "filters": { "country": [ "USA" ], "name": "capital" }, "sort": "name:asc", "limit": 3 } } } } } }, "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "type": "array", "items": { "allOf": [ { "$ref": "#/components/schemas/InvestorRef" }, { "type": "object", "properties": { "updated_at": { "type": "string", "format": "date-time" }, "deleted": { "type": "boolean", "default": false } } } ] } }, "meta": { "$ref": "#/components/schemas/PageMeta" } } }, "examples": { "ok": { "value": { "data": [ { "id": "4c43b0a4-cad0-4906-88f2-c0492f01e4bc", "name": "Annaly Capital Management", "short_name": "Annaly Capital Management", "website": "https://www.annaly.com", "country": "USA", "updated_at": "2026-06-12T23:32:20.229216+00:00", "deleted": false }, { "id": "bf5d72c4-31bb-4ba6-8f3d-a5af46bb06b2", "name": "Arch Capital Group", "short_name": "Arch Capital Group", "website": "https://www.archgroup.com", "country": "USA", "updated_at": "2026-06-12T23:32:21.863869+00:00", "deleted": false }, { "id": "0f1b1c3f-3f67-4551-85b2-acbc7886f558", "name": "Ares Capital", "short_name": "Ares Capital", "website": "https://www.arescapitalcorp.com", "country": "USA", "updated_at": "2026-06-12T23:32:13.44868+00:00", "deleted": false } ], "meta": { "page": 1, "limit": 3, "returned": 3, "total": 4879, "has_more": true } } } } } } } } } }, "/api/private/v1/investors/{id}": { "get": { "summary": "Investor profile + activity stats", "parameters": [ { "$ref": "#/components/parameters/PathId" }, { "$ref": "#/components/parameters/Fields" }, { "$ref": "#/components/parameters/IncludeDeleted" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "$ref": "#/components/schemas/InvestorProfile" } } }, "examples": { "ok": { "value": { "data": { "id": "9918f9bb-0d74-434d-9029-a44cbee87637", "name": "Sequoia Capital", "short_name": "Sequoia Capital", "website": "http://www.sequoiacap.com", "linkedin": "http://www.linkedin.com/company/sequoia", "company_type": [ "Venture capital" ], "ownership": "Privately held", "description": "Sequoia Capital is a venture capital firm headquartered in Menlo Park, California, with operations in the United States, China, India, and Southeast Asia. Founded in 1972, it invests in seed through growth-stage companies across sectors like consumer internet, enterprise software, healthcare, and semiconductors. The firm has backed transformative businesses including Apple, Google, WhatsApp, Airbnb, Stripe, NVIDIA, and DoorDash, achieving landmark returns from initial public offerings and acquisitions. Sequoia Capital maintains separate funds for U.S., China, and India ecosystems, supporting founders in building enduring technology leaders.", "verticals": [ "PE & VC" ], "themes": null, "city": "San Francisco, CA", "country": "USA", "region": "North America", "area": "California", "founded": 1972, "ipoed": null, "ceo": null, "employee_count": null, "revenue_model": [ "Investment management" ], "client_focus": [ "B2B" ], "active": false, "created_at": "2026-02-27T19:16:25.527791+00:00", "updated_at": "2026-02-27T19:16:25.527791+00:00", "deleted": false, "is_public": false, "stats": { "total_deals": 1445, "deals_last_12m": 113, "avg_round_size": 166.55930555555545, "median_valuation": 1000, "median_ev_revenue": 15.987220447284345, "median_ev_ebitda": 33.80589430894309, "most_common_deal_type": "Venture", "most_common_deal_subtype": "Series A", "top_countries": [ { "country": "USA", "count": 1013 }, { "country": "IND", "count": 109 }, { "country": "CHN", "count": 65 }, { "country": "GBR", "count": 36 }, { "country": "DEU", "count": 27 } ], "top_verticals": [ { "vertical": "Artificial Intelligence", "count": 144 }, { "vertical": "Pure-Play AI Software", "count": 132 }, { "vertical": "BI & Analytics Software", "count": 129 }, { "vertical": "Cybersecurity", "count": 126 }, { "vertical": "Developer Tools", "count": 86 } ] } } } } } } } } } } }, "/api/private/v1/investors/resolve": { "post": { "summary": "Bulk name → investor-ID mapping", "requestBody": { "required": true, "content": { "application/json": { "schema": { "type": "object", "required": [ "names" ], "properties": { "names": { "type": "array", "maxItems": 200, "items": { "type": "string" }, "minItems": 1 } } }, "examples": { "default": { "value": { "names": [ "Sequoia Capital", "Sequoi", "Zzqx Nonexistent VC" ] } } } } } }, "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "type": "array", "items": { "$ref": "#/components/schemas/ResolveMatch" } } } }, "examples": { "ok": { "value": { "data": [ { "query": "Sequoia Capital", "id": "9918f9bb-0d74-434d-9029-a44cbee87637", "match_type": "exact" }, { "query": "Sequoi", "id": null, "match_type": "ambiguous", "candidates": [ { "id": "682e8a71-8e0f-4106-b8fe-f747a150876e", "name": "Sequoia Fund", "country": "USA", "score": 0.5 }, { "id": "6b4dcb9f-8e91-4339-a83b-c688e7025072", "name": "Sequoia Apps", "country": "USA", "score": 0.5 }, { "id": "19566905-8cf4-46d4-a1b2-3e6e9cade5b2", "name": "Sequoia Scout", "country": "USA", "score": 0.46 } ] }, { "query": "Zzqx Nonexistent VC", "id": null, "match_type": "no_match" } ] } } } } } } } } }, "/api/private/v1/investors/{id}/investments": { "get": { "summary": "Deals this investor participated in", "parameters": [ { "$ref": "#/components/parameters/PathId" }, { "$ref": "#/components/parameters/Page" }, { "$ref": "#/components/parameters/Limit" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "type": "array", "items": { "$ref": "#/components/schemas/InvestmentRow" } }, "meta": { "$ref": "#/components/schemas/PageMeta" } } }, "examples": { "ok": { "value": { "data": [ { "id": "f5079d76-2560-49d1-a094-58755b7911e3", "deal_date": "2026-05-27", "deal_type": "Growth", "deal_subtype": "Series H", "deal_synopsis": "Anthropic has closed a $65 billion Series H round at a $965 billion post-money valuation. The financing was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, and co-led by Capital Group, Coatue, D1 Capital Partners, GIC, ICONIQ, and XN. The proceeds are earmarked for safety and interpretability research, additional compute to meet demand for Claude, and continued investment in the products and partnerships the company's customers depend on.\nThe round drew a broad investor base, including AMP PBC, Baillie Gifford, Blackstone, Brookfield, D.E. Shaw Ventures, DST Global, Fidelity Management & Research Company, General Catalyst, Insight Partners, Jane Street, Lightspeed Venture Partners, MGX, NTTVC, NX1 Capital, Situational Awareness LP, T. Rowe Price Associates, T. Rowe Price Investment Management, and Temasek. It also incorporates $15 billion of previously committed investment from hyperscalers, $5 billion of which comes from Amazon. Strategic infrastructure partners Micron, Samsung, and SK hynix—key suppliers of memory, storage, and logic chips—also joined. The company reports that adoption has continued to expand across enterprise customers since its Series G in February, with run-rate revenue passing $47 billion earlier this month.\nAlongside the raise, Anthropic has expanded its compute footprint through several agreements: up to five gigawatts of new capacity with Amazon, five gigawatts of next-generation TPU capacity with Google and Broadcom, and access to GPU capacity in Colossus 1 and Colossus 2 with SpaceX. Claude is now available on all three major cloud platforms—Amazon Web Services, Google Cloud, and Microsoft Azure—with AWS remaining the company's primary cloud provider and training partner.", "deal_valuation": 965000, "deal_raised": 65000, "deal_revenue": 47000, "deal_ebitda": null, "deal_multiples": { "ev_revenue": 20.53191489361702, "ev_ebitda": null }, "target": { "id": "75bdc421-b56b-4624-9c1f-6aa931f7dfcb", "name": "Anthropic", "short_name": "Anthropic", "website": "https://www.anthropic.com", "country": "USA" }, "buyers": [], "lead_investors": [ { "id": "7a80d476-dd57-4b80-93fe-c92f04419fe7", "name": "Altimeter Capital", "country": "USA", "website": "http://www.altimeter.com", "short_name": "Altimeter Capital" }, { "id": "0ab023f8-8c07-413b-9f4f-7a790df5ed3d", "name": "Dragoneer", "country": "USA", "website": "https://www.dragoneer.com", "short_name": "Dragoneer" }, { "id": "096dbe57-57bd-444a-a67b-168a74cb9def", "name": "Greenoaks", "country": "USA", "website": "https://www.greenoaks.com", "short_name": "Greenoaks" }, { "id": "9918f9bb-0d74-434d-9029-a44cbee87637", "name": "Sequoia Capital", "country": "USA", "website": "http://www.sequoiacap.com", "short_name": "Sequoia Capital" } ], "created_at": "2026-06-04T17:15:56.814376+00:00", "updated_at": "2026-06-04T17:15:56.814376+00:00", "deleted": false, "role": "lead_investor" }, { "id": "f3326b91-c793-44ce-bd19-bdb3f5ded2a1", "deal_date": "2026-04-29", "deal_type": "Growth", "deal_subtype": "Series A", "deal_synopsis": "Standard Intelligence, a six-person AI startup, raised $75 million in funding led by Sequoia and Spark Capital. Sequoia's investment team included Sonya Huang, Mikowai Ashwill, and Yasmin Razavi. The round also included prominent angel investors and advisors, including AI researcher Andrej Karpathy, as well as Milan Kovac and Stanley Druckenmiller. The company plans to use the capital to purchase additional computing capacity and develop AI safety guardrails optimized for computer use models. Standard Intelligence is focused on building models that explore and learn like humans do, with a long-term mission centered on building aligned AGI.", "deal_valuation": 500, "deal_raised": 75, "deal_revenue": null, "deal_ebitda": null, "deal_multiples": { "ev_revenue": null, "ev_ebitda": null }, "target": { "id": "d092adc6-a48f-4713-8f5e-07bc22d238d5", "name": "Standard Intelligence", "short_name": "Standard Intelligence", "website": "https://si.inc/", "country": null }, "buyers": [], "lead_investors": [ { "id": "9918f9bb-0d74-434d-9029-a44cbee87637", "name": "Sequoia Capital", "country": "USA", "website": "http://www.sequoiacap.com", "short_name": "Sequoia Capital" }, { "id": "39a3bfe5-4bbf-4c70-8cc7-a0302f7d505f", "name": "Spark Capital", "country": "USA", "website": "http://www.sparkcapital.com", "short_name": "Spark Capital" } ], "created_at": "2026-05-01T14:47:10.710446+00:00", "updated_at": "2026-05-01T14:47:10.710446+00:00", "deleted": false, "role": "lead_investor" }, { "id": "70a6b6d1-4e4e-4e49-a058-f606cceee6d9", "deal_date": "2026-04-28", "deal_type": "Growth", "deal_subtype": "Series D", "deal_synopsis": "Rogo raised $160 million in an equity Series D funding round in April 2026, led by Kleiner Perkins with participation from Sequoia Capital, Thrive Capital, Khosla Ventures, J.P. Morgan Growth Equity Partners, BoxGroup, Mantis VC, Jack Altman, Evantic, and Positive Sum. The post-money valuation reached approximately $2 billion, up from $750 million following the $75 million Series C in January 2026. Total funding raised exceeds $300 million.\nThe capital will accelerate international growth, deepen partnerships with major financial institutions, and expand the AI agent Felix. This follows the Series C, which supported the opening of a London office for European expansion.\nRogo, a New York-based generative AI platform purpose-built for financial services workflows, launched in 2021 and serves over 250 institutional clients including Rothschild & Co, Jefferies, and Lazard. The agentic platform targets investment banking and finance operations.", "deal_valuation": 2000, "deal_raised": 160, "deal_revenue": null, "deal_ebitda": null, "deal_multiples": { "ev_revenue": null, "ev_ebitda": null }, "target": { "id": "d57c0554-c234-47ab-a78d-23bc44f13edb", "name": "Rogo", "short_name": "Rogo", "website": "https://rogo.ai", "country": "USA" }, "buyers": [], "lead_investors": [ { "id": "2bdca794-d427-47d2-9a51-94c626163180", "name": "Kleiner Perkins", "country": "USA", "website": "https://www.kleinerperkins.com", "short_name": "Kleiner Perkins" } ], "created_at": "2026-05-01T14:47:10.710446+00:00", "updated_at": "2026-05-01T14:47:10.710446+00:00", "deleted": false, "role": "buyer" } ], "meta": { "page": 1, "limit": 3, "returned": 3, "total": 1445, "has_more": true } } } } } } } } } }, "/api/private/v1/investors/{id}/co_investors": { "get": { "summary": "Other investors they invest alongside", "parameters": [ { "$ref": "#/components/parameters/PathId" }, { "$ref": "#/components/parameters/Page" }, { "$ref": "#/components/parameters/Limit" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "type": "array", "items": { "allOf": [ { "$ref": "#/components/schemas/InvestorRef" }, { "type": "object", "properties": { "shared_deals": { "type": "integer", "description": "Number of deals both investors participated in" }, "first_shared_date": { "type": "string", "format": "date", "nullable": true }, "last_shared_date": { "type": "string", "format": "date", "nullable": true } } } ] } }, "meta": { "$ref": "#/components/schemas/PageMeta" } } }, "examples": { "ok": { "value": { "data": [ { "id": "8433767b-a7ba-48a0-b509-49131878380b", "name": "Andreessen Horowitz", "short_name": "Andreessen Horowitz", "website": "http://www.a16z.com", "country": "USA", "shared_deals": 93, "first_shared_date": "2013-09-12", "last_shared_date": "2026-02-17" }, { "id": "9bb61098-8ecf-4af2-ba5d-92126ea73faa", "name": "Lightspeed Venture Partners", "short_name": "Lightspeed Venture Partners", "website": "http://lsvp.com", "country": "USA", "shared_deals": 84, "first_shared_date": "2013-02-05", "last_shared_date": "2026-04-26" }, { "id": "30b551ba-b70d-454a-978d-ea872df9a935", "name": "Y Combinator", "short_name": "Y Combinator", "website": "http://www.ycombinator.com", "country": "USA", "shared_deals": 77, "first_shared_date": "2014-03-25", "last_shared_date": "2025-12-02" } ], "meta": { "page": 1, "limit": 3, "returned": 3, "total": 2672, "has_more": true } } } } } } } } } }, "/api/private/v1/investors/{id}/portfolio": { "get": { "summary": "Companies this investor has funded", "parameters": [ { "$ref": "#/components/parameters/PathId" }, { "$ref": "#/components/parameters/Page" }, { "$ref": "#/components/parameters/Limit" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "type": "array", "items": { "allOf": [ { "$ref": "#/components/schemas/CompanyRef" }, { "type": "object", "properties": { "first_invested": { "type": "string", "format": "date", "description": "Date of this investor's earliest round in this company", "nullable": true }, "last_invested": { "type": "string", "format": "date", "nullable": true }, "rounds_count": { "type": "integer" }, "led_any_round": { "type": "boolean" } } } ] } }, "meta": { "$ref": "#/components/schemas/PageMeta" } } }, "examples": { "ok": { "value": { "data": [ { "id": "d092adc6-a48f-4713-8f5e-07bc22d238d5", "name": "Standard Intelligence", "short_name": "Standard Intelligence", "website": "https://si.inc/", "country": null, "first_invested": "2026-04-29", "last_invested": "2026-04-29", "rounds_count": 1, "led_any_round": true }, { "id": "585003b7-0918-449a-b96c-968191f7169d", "name": "Parallel", "short_name": "Parallel", "website": "https://www.parallel.ai", "country": "USA", "first_invested": "2026-04-27", "last_invested": "2026-04-27", "rounds_count": 1, "led_any_round": true }, { "id": "be67af9a-1dcc-4a35-a343-2e3ca1ef4459", "name": "Ineffable Intelligence", "short_name": "Ineffable Intelligence", "website": "https://www.ineffable.ai", "country": "GBR", "first_invested": "2026-04-26", "last_invested": "2026-04-26", "rounds_count": 1, "led_any_round": true } ], "meta": { "page": 1, "limit": 3, "returned": 3, "total": 836, "has_more": true } } } } } } } } } }, "/api/private/v1/transactions": { "post": { "summary": "List / search deals (offset-paginated)", "description": "Each row has the target company plus participants: M&A deals populate\n`buyers`; funding rounds populate `lead_investors`. The full investor\nlist (`investors`) is available on the single-deal endpoint\n`GET /transactions/{id}`.\n", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/ListRequest_Transactions" }, "examples": { "saas_mna_search": { "summary": "US Financial-Services-Software M&A above $100M, recent years", "value": { "filters": { "deal_type": [ "M&A" ], "target_verticals": [ "Financial Services Software" ], "target_country": [ "USA" ], "date_from": "2023-01-01", "date_to": "2025-12-31", "valuation_min": 100 }, "sort": "deal_date:desc", "limit": 100 } }, "by_investor": { "summary": "All deals where a given investor participated", "value": { "filters": { "investor_id": [ "9918f9bb-0d74-434d-9029-a44cbee87637" ] }, "sort": "deal_date:desc", "limit": 3 } }, "change_feed": { "summary": "Daily sync - pull deltas since last checkpoint", "value": { "filters": { "updated_at": "2026-05-13T00:00:00Z", "include_deleted": true }, "sort": "updated_at:asc", "limit": 1000 } } } } } }, "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "type": "array", "items": { "$ref": "#/components/schemas/Deal" } }, "meta": { "$ref": "#/components/schemas/PageMeta" } } }, "examples": { "ok": { "value": { "data": [ { "id": "f5079d76-2560-49d1-a094-58755b7911e3", "deal_date": "2026-05-27", "deal_type": "Growth", "deal_subtype": "Series H", "deal_synopsis": "Anthropic has closed a $65 billion Series H round at a $965 billion post-money valuation. The financing was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, and co-led by Capital Group, Coatue, D1 Capital Partners, GIC, ICONIQ, and XN. The proceeds are earmarked for safety and interpretability research, additional compute to meet demand for Claude, and continued investment in the products and partnerships the company's customers depend on.\nThe round drew a broad investor base, including AMP PBC, Baillie Gifford, Blackstone, Brookfield, D.E. Shaw Ventures, DST Global, Fidelity Management & Research Company, General Catalyst, Insight Partners, Jane Street, Lightspeed Venture Partners, MGX, NTTVC, NX1 Capital, Situational Awareness LP, T. Rowe Price Associates, T. Rowe Price Investment Management, and Temasek. It also incorporates $15 billion of previously committed investment from hyperscalers, $5 billion of which comes from Amazon. Strategic infrastructure partners Micron, Samsung, and SK hynix—key suppliers of memory, storage, and logic chips—also joined. The company reports that adoption has continued to expand across enterprise customers since its Series G in February, with run-rate revenue passing $47 billion earlier this month.\nAlongside the raise, Anthropic has expanded its compute footprint through several agreements: up to five gigawatts of new capacity with Amazon, five gigawatts of next-generation TPU capacity with Google and Broadcom, and access to GPU capacity in Colossus 1 and Colossus 2 with SpaceX. Claude is now available on all three major cloud platforms—Amazon Web Services, Google Cloud, and Microsoft Azure—with AWS remaining the company's primary cloud provider and training partner.", "deal_valuation": 965000, "deal_raised": 65000, "deal_revenue": 47000, "deal_ebitda": null, "deal_multiples": { "ev_revenue": 20.53191489361702, "ev_ebitda": null }, "target": { "id": "75bdc421-b56b-4624-9c1f-6aa931f7dfcb", "name": "Anthropic", "short_name": "Anthropic", "website": "https://www.anthropic.com", "country": "USA" }, "buyers": [], "lead_investors": [ { "id": "7a80d476-dd57-4b80-93fe-c92f04419fe7", "name": "Altimeter Capital", "country": "USA", "website": "http://www.altimeter.com", "short_name": "Altimeter Capital" }, { "id": "0ab023f8-8c07-413b-9f4f-7a790df5ed3d", "name": "Dragoneer", "country": "USA", "website": "https://www.dragoneer.com", "short_name": "Dragoneer" }, { "id": "096dbe57-57bd-444a-a67b-168a74cb9def", "name": "Greenoaks", "country": "USA", "website": "https://www.greenoaks.com", "short_name": "Greenoaks" }, { "id": "9918f9bb-0d74-434d-9029-a44cbee87637", "name": "Sequoia Capital", "country": "USA", "website": "http://www.sequoiacap.com", "short_name": "Sequoia Capital" } ], "created_at": "2026-06-04T17:15:56.814376+00:00", "updated_at": "2026-06-04T17:15:56.814376+00:00", "deleted": false }, { "id": "f3326b91-c793-44ce-bd19-bdb3f5ded2a1", "deal_date": "2026-04-29", "deal_type": "Growth", "deal_subtype": "Series A", "deal_synopsis": "Standard Intelligence, a six-person AI startup, raised $75 million in funding led by Sequoia and Spark Capital. Sequoia's investment team included Sonya Huang, Mikowai Ashwill, and Yasmin Razavi. The round also included prominent angel investors and advisors, including AI researcher Andrej Karpathy, as well as Milan Kovac and Stanley Druckenmiller. The company plans to use the capital to purchase additional computing capacity and develop AI safety guardrails optimized for computer use models. Standard Intelligence is focused on building models that explore and learn like humans do, with a long-term mission centered on building aligned AGI.", "deal_valuation": 500, "deal_raised": 75, "deal_revenue": null, "deal_ebitda": null, "deal_multiples": { "ev_revenue": null, "ev_ebitda": null }, "target": { "id": "d092adc6-a48f-4713-8f5e-07bc22d238d5", "name": "Standard Intelligence", "short_name": "Standard Intelligence", "website": "https://si.inc/", "country": null }, "buyers": [], "lead_investors": [ { "id": "9918f9bb-0d74-434d-9029-a44cbee87637", "name": "Sequoia Capital", "country": "USA", "website": "http://www.sequoiacap.com", "short_name": "Sequoia Capital" }, { "id": "39a3bfe5-4bbf-4c70-8cc7-a0302f7d505f", "name": "Spark Capital", "country": "USA", "website": "http://www.sparkcapital.com", "short_name": "Spark Capital" } ], "created_at": "2026-05-01T14:47:10.710446+00:00", "updated_at": "2026-05-01T14:47:10.710446+00:00", "deleted": false }, { "id": "70a6b6d1-4e4e-4e49-a058-f606cceee6d9", "deal_date": "2026-04-28", "deal_type": "Growth", "deal_subtype": "Series D", "deal_synopsis": "Rogo raised $160 million in an equity Series D funding round in April 2026, led by Kleiner Perkins with participation from Sequoia Capital, Thrive Capital, Khosla Ventures, J.P. Morgan Growth Equity Partners, BoxGroup, Mantis VC, Jack Altman, Evantic, and Positive Sum. The post-money valuation reached approximately $2 billion, up from $750 million following the $75 million Series C in January 2026. Total funding raised exceeds $300 million.\nThe capital will accelerate international growth, deepen partnerships with major financial institutions, and expand the AI agent Felix. This follows the Series C, which supported the opening of a London office for European expansion.\nRogo, a New York-based generative AI platform purpose-built for financial services workflows, launched in 2021 and serves over 250 institutional clients including Rothschild & Co, Jefferies, and Lazard. The agentic platform targets investment banking and finance operations.", "deal_valuation": 2000, "deal_raised": 160, "deal_revenue": null, "deal_ebitda": null, "deal_multiples": { "ev_revenue": null, "ev_ebitda": null }, "target": { "id": "d57c0554-c234-47ab-a78d-23bc44f13edb", "name": "Rogo", "short_name": "Rogo", "website": "https://rogo.ai", "country": "USA" }, "buyers": [], "lead_investors": [ { "id": "2bdca794-d427-47d2-9a51-94c626163180", "name": "Kleiner Perkins", "country": "USA", "website": "https://www.kleinerperkins.com", "short_name": "Kleiner Perkins" } ], "created_at": "2026-05-01T14:47:10.710446+00:00", "updated_at": "2026-05-01T14:47:10.710446+00:00", "deleted": false } ], "meta": { "page": 1, "limit": 3, "returned": 3, "total": 1445, "has_more": true } } } } } } } } } }, "/api/private/v1/transactions/aggregate": { "post": { "summary": "Per-bucket median multiples for one cohort", "description": "Returns `{bucket, n, median, q1, q3}` arrays for the chosen\n`metric`, sliced by `time_bucket`, across the cohort defined by\n`filters`. Methodology constants (small-N suppression, outlier\nrule, default date range) are discoverable via `/lookup/transactions`.\n", "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/AggregateRequest" }, "examples": { "ev_revenue_by_year": { "summary": "Median EV/Revenue per year for European Growth/Venture rounds", "value": { "metric": "ev_revenue", "time_bucket": "year", "filters": { "deal_type": [ "Growth", "Venture" ], "target_region": [ "Western Europe", "Northern Europe" ], "date_from": "2020-01-01", "date_to": "2024-12-31" } } }, "valuation_overall": { "summary": "Single overall median valuation (no time slicing) for the same cohort", "value": { "metric": "valuation", "time_bucket": "none", "filters": { "deal_type": [ "Growth", "Venture" ], "target_region": [ "Western Europe", "Northern Europe" ] } } } } } } }, "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/AggregateResponse" }, "examples": { "ok": { "value": { "data": [ { "bucket": "2020", "n": 42, "median": 10.7718120805369, "q1": 5.55991124260355, "q3": 17.9166666666667, "warning": null }, { "bucket": "2021", "n": 90, "median": 9.88470557582074, "q1": 5, "q3": 18.7724830128347, "warning": null }, { "bucket": "2022", "n": 68, "median": 12.5009557522124, "q1": 6.70950704225352, "q3": 22.0485210171251, "warning": null }, { "bucket": "2023", "n": 24, "median": 6.76799805385352, "q1": 4.93762963252847, "q3": 11.3538205980066, "warning": null }, { "bucket": "2024", "n": 37, "median": 9.5, "q1": 4.46632478632479, "q3": 17, "warning": null } ], "meta": { "metric": "ev_revenue", "time_bucket": "year", "total_deals": 284, "outliers_trimmed": 23, "methodology": { "small_n_threshold": 5, "outlier_rule": "iqr_1.5", "default_date_range_years": 5, "empty_buckets_returned": true, "date_range": { "from": "2020-01-01", "to": "2024-12-31" } } } } } } } } } } } }, "/api/private/v1/transactions/{id}": { "get": { "summary": "Single deal with full participants", "parameters": [ { "$ref": "#/components/parameters/PathId" }, { "$ref": "#/components/parameters/Fields" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "$ref": "#/components/schemas/DealFull" } } }, "examples": { "funding_round": { "summary": "Funding round - populated `investors` + `lead_investors`", "value": { "data": { "id": "f5079d76-2560-49d1-a094-58755b7911e3", "deal_date": "2026-05-27", "deal_type": "Growth", "deal_subtype": "Series H", "deal_synopsis": "Anthropic has closed a $65 billion Series H round at a $965 billion post-money valuation. The financing was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, and co-led by Capital Group, Coatue, D1 Capital Partners, GIC, ICONIQ, and XN. The proceeds are earmarked for safety and interpretability research, additional compute to meet demand for Claude, and continued investment in the products and partnerships the company's customers depend on.\nThe round drew a broad investor base, including AMP PBC, Baillie Gifford, Blackstone, Brookfield, D.E. Shaw Ventures, DST Global, Fidelity Management & Research Company, General Catalyst, Insight Partners, Jane Street, Lightspeed Venture Partners, MGX, NTTVC, NX1 Capital, Situational Awareness LP, T. Rowe Price Associates, T. Rowe Price Investment Management, and Temasek. It also incorporates $15 billion of previously committed investment from hyperscalers, $5 billion of which comes from Amazon. Strategic infrastructure partners Micron, Samsung, and SK hynix—key suppliers of memory, storage, and logic chips—also joined. The company reports that adoption has continued to expand across enterprise customers since its Series G in February, with run-rate revenue passing $47 billion earlier this month.\nAlongside the raise, Anthropic has expanded its compute footprint through several agreements: up to five gigawatts of new capacity with Amazon, five gigawatts of next-generation TPU capacity with Google and Broadcom, and access to GPU capacity in Colossus 1 and Colossus 2 with SpaceX. Claude is now available on all three major cloud platforms—Amazon Web Services, Google Cloud, and Microsoft Azure—with AWS remaining the company's primary cloud provider and training partner.", "deal_valuation": 965000, "deal_raised": 65000, "deal_revenue": 47000, "deal_ebitda": null, "deal_multiples": { "ev_revenue": 20.53191489361702, "ev_ebitda": null }, "target": { "id": "75bdc421-b56b-4624-9c1f-6aa931f7dfcb", "name": "Anthropic", "short_name": "Anthropic", "website": "https://www.anthropic.com", "country": "USA", "region": "North America", "city": "San Francisco, CA", "founded": 1905, "verticals": [ "Pure-Play AI Software", "Artificial Intelligence", "AI Conglomerates", "Developer Tools" ], "themes": [ "Generative AI", "B2B SaaS", "Horizontal SaaS" ], "client_focus": [ "B2C", "B2B" ], "revenue_model": [ "Subscription", "Usage-based" ], "company_type": [ "Private company" ] }, "buyers": [], "lead_investors": [ { "id": "7a80d476-dd57-4b80-93fe-c92f04419fe7", "name": "Altimeter Capital", "country": "USA", "website": "http://www.altimeter.com", "short_name": "Altimeter Capital" }, { "id": "0ab023f8-8c07-413b-9f4f-7a790df5ed3d", "name": "Dragoneer", "country": "USA", "website": "https://www.dragoneer.com", "short_name": "Dragoneer" }, { "id": "096dbe57-57bd-444a-a67b-168a74cb9def", "name": "Greenoaks", "country": "USA", "website": "https://www.greenoaks.com", "short_name": "Greenoaks" }, { "id": "9918f9bb-0d74-434d-9029-a44cbee87637", "name": "Sequoia Capital", "country": "USA", "website": "http://www.sequoiacap.com", "short_name": "Sequoia Capital" } ], "investors": [ { "id": "00e687b3-f738-4c97-9a54-4f9b56b29edd", "name": "Temasek Holdings", "country": "SGP", "website": "http://www.temasek.com.sg", "short_name": "Temasek Holdings" }, { "id": "067819ef-795d-47c8-b3ba-ef3fc168b089", "name": "General Catalyst", "country": "USA", "website": "http://www.generalcatalyst.com", "short_name": "General Catalyst" }, { "id": "096dbe57-57bd-444a-a67b-168a74cb9def", "name": "Greenoaks", "country": "USA", "website": "https://www.greenoaks.com", "short_name": "Greenoaks" }, { "id": "0ab023f8-8c07-413b-9f4f-7a790df5ed3d", "name": "Dragoneer", "country": "USA", "website": "https://www.dragoneer.com", "short_name": "Dragoneer" }, { "id": "30dfe78d-42ac-4359-90b3-a74fa16672ab", "name": "Fidelity", "country": "USA", "website": "https://www.fidelity.com", "short_name": "Fidelity" } ], "created_at": "2026-06-04T17:15:56.814376+00:00", "updated_at": "2026-06-04T17:15:56.814376+00:00", "deleted": false } } }, "mna": { "summary": "M&A deal - populated `buyers`, no investors", "value": { "data": { "id": "8300f126-fda0-4a28-8107-caf6ad877c28", "deal_date": "2026-06-08", "deal_type": "M&A", "deal_subtype": "Strategic M&A", "deal_synopsis": "Altice France signed a memorandum of understanding with a consortium comprising Bouygues Telecom, Free–iliad Group, and Orange for the acquisition of SFR assets, with the transaction based on a total enterprise value of EUR 20.35 billion and a potential earn-out of up to EUR 0.65 billion. Bouygues Telecom is allocated around 42% of the price, Free–iliad 31%, and Orange 27%, with signing of definitive documents expected in the second half of 2026 and closing targeted for the second half of 2027 after regulatory approvals.\nThe rationale is to create a stronger, more resilient French telecom market with greater investment capacity, infrastructure development, and long-term value for stakeholders. The transaction is expected to generate about EUR 1.0 billion per year in EBITDAaL–Capex synergies, with roughly 70% of annualized net synergies expected by 2032. Based on 2025 figures for the scope under consideration after adjustments, the combined assets generated EUR 8.0 billion of revenue and EUR 2.6 billion of EBITDAaL; Bouygues Telecom’s share of the transaction would represent about 52% of revenue and 42% of EBITDAaL, while the overall split across buyers would also be sensitive to customer-base changes before closing.\nSFR is a subsidiary of Altice France. In 2024, SFR reported revenues of EUR 10.0 billion. The proposed transaction also includes SFR Business, described as representing around EUR 1.2 billion in sales within the scope announced. The price includes standard closing-account adjustments, debt-related adjustments, and mechanisms tied to compliance with seller commitments on regulation and investment.", "deal_valuation": 23440, "deal_raised": null, "deal_revenue": 9950, "deal_ebitda": 3160, "deal_multiples": { "ev_revenue": 2.355778894472362, "ev_ebitda": 7.417721518987342 }, "target": { "id": "9e544d7f-c3a7-483b-b29d-e559f3b062dc", "name": "SFR", "short_name": "SFR", "website": "http://www.sfr.fr", "country": "FRA", "region": "Western Europe", "city": "Paris", "founded": 1987, "verticals": [ "Telecom Service Providers" ], "themes": null, "client_focus": [ "B2C", "B2B" ], "revenue_model": [ "Subscription" ], "company_type": [ "Private company" ] }, "buyers": [ { "id": "34aa9760-ec71-4c11-8cb0-a7a2ba1d435e", "name": "Bouygues Telecom", "country": "FRA", "website": "https://www.corporate.bouyguestelecom.fr", "short_name": "Bouygues Telecom" }, { "id": "273848b9-3fa8-4ba5-9eef-54dcfda8435c", "name": "Iliad", "country": "FRA", "website": "https://www.iliad.fr/", "short_name": "Iliad" }, { "id": "c60998bf-1484-4a5d-91c9-1f29de8f05ad", "name": "Orange", "country": "FRA", "website": "https://www.orange.com", "short_name": "Orange" } ], "lead_investors": [], "investors": [], "created_at": "2026-06-09T12:22:02.961522+00:00", "updated_at": "2026-06-09T12:22:55.646063+00:00", "deleted": false } } } } } } } } } }, "/api/private/v1/lookup/companies": { "get": { "summary": "Discoverable filter fields, enums, sort keys", "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "$ref": "#/components/schemas/LookupResponse" } } }, "examples": { "ok": { "value": { "data": { "filters": [ { "field": "id", "type": "array_uuid", "operators": [ "in" ], "description": "Batch lookup of company UUIDs." }, { "field": "name", "type": "string", "operators": [ "ilike", "eq" ], "description": "Case-insensitive substring match on the company name." }, { "field": "country", "type": "array_string", "operators": [ "in" ], "description": "ISO-3 country codes (e.g. USA, GBR, DEU)." }, { "field": "region", "type": "array_string", "operators": [ "in" ], "values": [ "Africa", "Central Asia", "East Asia", "Eastern Europe", "Latin America", "Middle East", "North America", "Northern Europe", "Oceania", "South Asia", "South-East Asia", "Southern Europe", "Western Europe" ] }, { "field": "verticals", "type": "array_string", "operators": [ "overlaps" ] }, { "field": "themes", "type": "array_string", "operators": [ "overlaps" ] }, { "field": "client_focus", "type": "array_string", "operators": [ "overlaps" ] }, { "field": "revenue_model", "type": "array_string", "operators": [ "overlaps" ] }, { "field": "company_type", "type": "array_string", "operators": [ "overlaps" ] }, { "field": "ownership", "type": "string", "operators": [ "eq" ], "description": "Exact match on ownership label (e.g. 'Publicly listed', 'Privately held')." }, { "field": "active", "type": "boolean", "operators": [ "eq" ] }, { "field": "founded_min", "type": "number", "operators": [ "gte" ], "description": "Founding-year lower bound." }, { "field": "founded_max", "type": "number", "operators": [ "lte" ] }, { "field": "ipoed_from", "type": "date", "operators": [ "gte" ] }, { "field": "ipoed_to", "type": "date", "operators": [ "lte" ] }, { "field": "updated_at", "type": "datetime", "operators": [ "gte" ], "description": "Change-feed checkpoint." }, { "field": "include_deleted", "type": "boolean", "operators": [ "eq" ], "description": "Default false. Set true on change-feed pulls." } ], "sort_fields": [ "name", "founded", "ipoed", "updated_at" ], "sub_resources": [ "/companies/{id}/fundings", "/companies/{id}/sellside", "/companies/{id}/buyside", "/companies/{id}/investors" ] } } } } } } } } } }, "/api/private/v1/lookup/investors": { "get": { "summary": "Discoverable filter fields, enums, sort keys", "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "$ref": "#/components/schemas/LookupResponse" } } }, "examples": { "ok": { "value": { "data": { "filters": [ { "field": "id", "type": "array_uuid", "operators": [ "in" ] }, { "field": "name", "type": "string", "operators": [ "ilike", "eq" ] }, { "field": "country", "type": "array_string", "operators": [ "in" ], "description": "ISO-3 country codes." }, { "field": "updated_at", "type": "datetime", "operators": [ "gte" ], "description": "Change-feed checkpoint." }, { "field": "include_deleted", "type": "boolean", "operators": [ "eq" ], "description": "Default false. Set true on change-feed pulls." } ], "sort_fields": [ "name", "updated_at" ], "sub_resources": [ "/investors/{id}/investments", "/investors/{id}/co_investors", "/investors/{id}/portfolio" ] } } } } } } } } } }, "/api/private/v1/lookup/transactions": { "get": { "summary": "Discoverable filter fields + aggregate methodology", "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "type": "object", "properties": { "data": { "allOf": [ { "$ref": "#/components/schemas/LookupResponse" }, { "type": "object", "properties": { "aggregate": { "type": "object", "properties": { "metrics": { "type": "array", "items": { "type": "string", "enum": [ "ev_revenue", "ev_ebitda", "valuation", "raised", "revenue", "ebitda" ] } }, "time_buckets": { "type": "array", "items": { "type": "string", "enum": [ "month", "quarter", "year", "none" ] } }, "methodology": { "type": "object", "properties": { "small_n_threshold": { "type": "integer", "example": 5 }, "outlier_rule": { "type": "string", "example": "iqr_1.5" }, "default_date_range_years": { "type": "integer", "example": 5 }, "empty_buckets_returned": { "type": "boolean", "example": true } } } } } } } ] } } }, "examples": { "ok": { "value": { "data": { "filters": [ { "field": "id", "type": "array_uuid", "operators": [ "in" ] }, { "field": "target_id", "type": "array_uuid", "operators": [ "in" ] }, { "field": "investor_id", "type": "array_uuid", "operators": [ "in" ], "description": "Companies that participated as a lead investor or buyer." }, { "field": "deal_type", "type": "array_string", "operators": [ "in" ], "values": [ "Early", "Growth", "M&A", "Public listing", "Secondary", "Venture" ] }, { "field": "deal_subtype", "type": "array_string", "operators": [ "in" ], "values": [ "Angel", "ICO", "PE buyout", "Pre-seed", "Secondary - private", "Secondary - public", "Seed", "Series A", "Series B", "Series C", "Series D", "Series E", "Series F", "Series G", "Series H", "Series I", "Series J", "Strategic M&A", "Strategic investment", "Undisclosed stage" ] }, { "field": "date_from", "type": "date", "operators": [ "gte" ] }, { "field": "date_to", "type": "date", "operators": [ "lte" ] }, { "field": "valuation_min", "type": "number", "operators": [ "gte" ], "description": "Millions USD." }, { "field": "valuation_max", "type": "number", "operators": [ "lte" ] }, { "field": "raised_min", "type": "number", "operators": [ "gte" ] }, { "field": "raised_max", "type": "number", "operators": [ "lte" ] }, { "field": "revenue_min", "type": "number", "operators": [ "gte" ] }, { "field": "revenue_max", "type": "number", "operators": [ "lte" ] }, { "field": "ebitda_min", "type": "number", "operators": [ "gte" ] }, { "field": "ebitda_max", "type": "number", "operators": [ "lte" ] }, { "field": "ev_revenue_min", "type": "number", "operators": [ "gte" ] }, { "field": "ev_revenue_max", "type": "number", "operators": [ "lte" ] }, { "field": "ev_ebitda_min", "type": "number", "operators": [ "gte" ] }, { "field": "ev_ebitda_max", "type": "number", "operators": [ "lte" ] }, { "field": "target_country", "type": "array_string", "operators": [ "in" ] }, { "field": "target_region", "type": "array_string", "operators": [ "in" ], "values": [ "Africa", "Central Asia", "East Asia", "Eastern Europe", "Latin America", "Middle East", "North America", "Northern Europe", "Oceania", "South Asia", "South-East Asia", "Southern Europe", "Western Europe" ] }, { "field": "target_verticals", "type": "array_string", "operators": [ "overlaps" ] }, { "field": "target_themes", "type": "array_string", "operators": [ "overlaps" ] }, { "field": "target_client_focus", "type": "array_string", "operators": [ "overlaps" ] }, { "field": "target_revenue_model", "type": "array_string", "operators": [ "overlaps" ] }, { "field": "target_company_type", "type": "array_string", "operators": [ "overlaps" ] }, { "field": "updated_at", "type": "datetime", "operators": [ "gte" ], "description": "Change-feed checkpoint." }, { "field": "include_deleted", "type": "boolean", "operators": [ "eq" ], "description": "Default false. Set true on change-feed pulls." } ], "sort_fields": [ "deal_date", "deal_valuation", "deal_raised", "updated_at" ], "sub_resources": [], "aggregate": { "metrics": [ "ev_revenue", "ev_ebitda", "valuation", "raised", "revenue", "ebitda" ], "time_buckets": [ "month", "quarter", "year", "none" ], "methodology": { "small_n_threshold": 5, "outlier_rule": "iqr_1.5", "default_date_range_years": 5, "empty_buckets_returned": true } } } } } } } } } } } } }, "components": { "securitySchemes": { "bearerAuth": { "type": "http", "scheme": "bearer", "bearerFormat": "mpl_live_*", "description": "Send your API key as a bearer token in the `Authorization` header:\n`Authorization: Bearer mpl_live_...`. A single key grants access to\nall endpoints in this API. Contact your account manager to obtain or\nrotate a key.\n" } }, "parameters": { "PathId": { "name": "id", "in": "path", "required": true, "schema": { "type": "string", "format": "uuid" } }, "Fields": { "name": "fields", "in": "query", "description": "Comma-separated allowlist of response fields. Default is all fields.", "schema": { "type": "string", "example": "id,name,country,verticals" } }, "Page": { "name": "page", "in": "query", "description": "1-indexed page number (offset pagination).", "schema": { "type": "integer", "default": 1, "minimum": 1 } }, "Limit": { "name": "limit", "in": "query", "schema": { "type": "integer", "default": 100, "maximum": 1000, "minimum": 1 } }, "IncludeDeleted": { "name": "include_deleted", "in": "query", "description": "Return the entity even if soft-deleted (the response then carries deleted:true). When false/omitted, a soft-deleted entity returns 404.", "schema": { "type": "boolean", "default": false } } }, "schemas": { "PageMeta": { "type": "object", "description": "Pagination metadata (offset / page-based).", "properties": { "page": { "type": "integer", "description": "1-indexed page number echoed back" }, "limit": { "type": "integer", "description": "Page size used" }, "returned": { "type": "integer", "description": "Rows in this response" }, "total": { "type": "integer", "nullable": true, "description": "Total rows matching the query" }, "has_more": { "type": "boolean", "description": "True when further pages remain" } } }, "Error": { "type": "object", "properties": { "error": { "type": "object", "required": [ "code", "message" ], "properties": { "code": { "type": "string", "description": "Machine-readable error code (one of the enum values below).", "enum": [ "BAD_REQUEST", "MISSING_TOKEN", "INVALID_TOKEN_FORMAT", "INVALID_TOKEN", "TOKEN_REVOKED", "TOKEN_EXPIRED", "USER_NOT_FOUND", "INSUFFICIENT_PERMISSIONS", "NOT_FOUND", "INTERNAL_ERROR" ] }, "message": { "type": "string" }, "details": { "type": "object", "additionalProperties": true } } } } }, "ResolveMatch": { "type": "object", "properties": { "query": { "type": "string", "description": "Input name" }, "id": { "type": "string", "format": "uuid", "nullable": true }, "match_type": { "type": "string", "enum": [ "exact", "ambiguous", "no_match" ] }, "candidates": { "type": "array", "description": "Populated when `match_type = ambiguous`.", "items": { "type": "object", "properties": { "id": { "type": "string", "format": "uuid" }, "name": { "type": "string", "nullable": true }, "country": { "type": "string", "nullable": true }, "score": { "type": "number", "description": "0..1 fuzzy match score" } } } } }, "required": [ "query", "id", "match_type" ] }, "ListRequestBase": { "type": "object", "properties": { "limit": { "type": "integer", "default": 100, "maximum": 1000 }, "page": { "type": "integer", "default": 1, "minimum": 1, "description": "1-indexed page number" }, "sort": { "type": "string", "description": "Format: `field:asc|desc`. Valid fields are in `/lookup/{resource}`.", "example": "updated_at:asc" }, "fields": { "type": "string", "description": "Comma-separated allowlist." } } }, "ListRequest_Companies": { "allOf": [ { "$ref": "#/components/schemas/ListRequestBase" }, { "type": "object", "properties": { "filters": { "type": "object", "properties": { "id": { "type": "array", "items": { "type": "string", "format": "uuid" }, "description": "Batch lookup by company ID" }, "name": { "type": "string", "description": "Case-insensitive substring match on the display name (matches both the company's name and short_name fields)." }, "country": { "type": "array", "items": { "type": "string" }, "description": "ISO 3166-1 alpha-3 country codes (e.g. USA, GBR, DEU)" }, "region": { "type": "array", "items": { "type": "string", "enum": [ "Africa", "Central Asia", "East Asia", "Eastern Europe", "Latin America", "Middle East", "North America", "Northern Europe", "Oceania", "South Asia", "South-East Asia", "Southern Europe", "Western Europe" ] } }, "verticals": { "type": "array", "items": { "type": "string" }, "description": "Returns companies tagged with any of these verticals" }, "themes": { "type": "array", "items": { "type": "string" } }, "client_focus": { "type": "array", "items": { "type": "string" } }, "revenue_model": { "type": "array", "items": { "type": "string" } }, "company_type": { "type": "array", "items": { "type": "string" } }, "ownership": { "type": "string", "description": "Exact match on ownership label (e.g. 'Publicly listed', 'Privately held')" }, "active": { "type": "boolean" }, "founded_min": { "type": "integer", "description": "Founding year (lower bound)" }, "founded_max": { "type": "integer" }, "ipoed_from": { "type": "string", "format": "date" }, "ipoed_to": { "type": "string", "format": "date" }, "updated_at": { "type": "string", "format": "date-time", "description": "Change-feed checkpoint: returns records updated at or after this timestamp. In change-feed mode, soft-deleted records are included automatically - include_deleted is not required." }, "include_deleted": { "type": "boolean", "default": false, "description": "Include soft-deleted company records. Not needed in change-feed mode (an updated_at checkpoint already surfaces deletions); use it for non-change-feed queries." } } } } } ] }, "ListRequest_Investors": { "allOf": [ { "$ref": "#/components/schemas/ListRequestBase" }, { "type": "object", "properties": { "filters": { "type": "object", "properties": { "id": { "type": "array", "items": { "type": "string", "format": "uuid" } }, "name": { "type": "string", "description": "Case-insensitive substring match on the display name (matches both the investor's name and short_name fields)." }, "country": { "type": "array", "items": { "type": "string" }, "description": "ISO 3166-1 alpha-3 country codes" }, "updated_at": { "type": "string", "format": "date-time", "description": "Change-feed checkpoint: returns records updated at or after this timestamp. In change-feed mode, soft-deleted records are included automatically - include_deleted is not required." }, "include_deleted": { "type": "boolean", "default": false, "description": "Include soft-deleted investor records. Not needed in change-feed mode (an updated_at checkpoint already surfaces deletions); use it for non-change-feed queries." } } } } } ] }, "ListRequest_Transactions": { "allOf": [ { "$ref": "#/components/schemas/ListRequestBase" }, { "type": "object", "properties": { "filters": { "$ref": "#/components/schemas/TransactionFilters" } } } ] }, "CompanyRef": { "description": "Minimal company reference (used in nested arrays).", "type": "object", "properties": { "id": { "type": "string", "format": "uuid" }, "name": { "type": "string", "nullable": true }, "short_name": { "type": "string", "nullable": true }, "website": { "type": "string", "nullable": true }, "country": { "type": "string", "nullable": true, "description": "ISO 3166-1 alpha-3 country code" } } }, "Company": { "description": "A company record returned by `/companies`. Includes an `is_public` flag indicating whether the company has one or more public stock listings; the listings themselves are available from `/companies/{id}`.\n", "type": "object", "properties": { "id": { "type": "string", "format": "uuid" }, "name": { "type": "string", "nullable": true }, "short_name": { "type": "string", "nullable": true }, "description": { "type": "string", "nullable": true }, "website": { "type": "string", "nullable": true }, "linkedin": { "type": "string", "nullable": true }, "country": { "type": "string", "nullable": true, "description": "ISO 3166-1 alpha-3 country code" }, "region": { "type": "string", "nullable": true }, "city": { "type": "string", "nullable": true }, "area": { "type": "string", "nullable": true }, "founded": { "type": "integer", "nullable": true, "description": "Founding year" }, "verticals": { "type": "array", "items": { "type": "string" }, "nullable": true }, "themes": { "type": "array", "items": { "type": "string" }, "nullable": true }, "client_focus": { "type": "array", "items": { "type": "string" }, "nullable": true }, "revenue_model": { "type": "array", "items": { "type": "string" }, "nullable": true }, "company_type": { "type": "array", "items": { "type": "string" }, "nullable": true }, "ownership": { "type": "string", "nullable": true }, "active": { "type": "boolean", "nullable": true }, "ipoed": { "type": "string", "format": "date", "nullable": true }, "ceo": { "type": "string", "nullable": true }, "is_public": { "type": "boolean", "description": "True if the company has at least one public stock listing" }, "created_at": { "type": "string", "format": "date-time" }, "updated_at": { "type": "string", "format": "date-time", "description": "Timestamp of the last update to this record (UTC)" }, "deleted": { "type": "boolean", "default": false, "description": "True if the record has been soft-deleted; appears in change-feed pulls" } } }, "CompanyProfile": { "description": "Full company profile. Extends `Company` with its primary stock\nlisting, current valuation/market metrics (public only), and a\nsmall deal-activity rollup.\n", "allOf": [ { "$ref": "#/components/schemas/Company" }, { "type": "object", "properties": { "employee_count": { "type": "integer", "nullable": true, "description": "Approximate number of employees (detail endpoint only)." }, "stock_listing": { "description": "The company's primary stock listing. Null for private companies (and for any public company with no resolvable primary listing).\n", "type": "object", "nullable": true, "properties": { "id": { "type": "string", "format": "uuid" }, "ticker": { "type": "string" }, "exchange": { "type": "string" }, "currency": { "type": "string", "nullable": true } } }, "valuation": { "description": "Current market valuation and trading metrics, available for publicly listed companies covered by our market-data feed. Null for private companies and for listed companies outside that coverage.\n", "type": "object", "nullable": true, "properties": { "market_cap": { "type": "number", "nullable": true }, "enterprise_value": { "type": "number", "nullable": true }, "price_to_book": { "type": "number", "nullable": true }, "price_to_sales": { "type": "number", "nullable": true }, "price_to_cash_flow": { "type": "number", "nullable": true }, "price_to_free_cash_flow": { "type": "number", "nullable": true }, "beta": { "type": "number", "nullable": true }, "updated_at": { "type": "string", "format": "date-time", "nullable": true, "description": "Reserved for a valuation-refresh timestamp; currently always null." } } }, "fundamentals": { "description": "Compact current fiscal-year (FY), trailing (LTM), and forward (NTM) fundamentals and valuation multiples, available for publicly listed companies covered by our market-data feed. Null for private companies and for listed companies outside that coverage.\n", "type": "object", "nullable": true, "properties": { "revenue_fy": { "type": "number", "nullable": true }, "ebitda_fy": { "type": "number", "nullable": true }, "ev_revenue_ntm": { "type": "number", "nullable": true }, "ev_revenue_ltm": { "type": "number", "nullable": true }, "ev_revenue_fy": { "type": "number", "nullable": true }, "ev_ebitda_ntm": { "type": "number", "nullable": true }, "ev_ebitda_ltm": { "type": "number", "nullable": true }, "ev_ebitda_fy": { "type": "number", "nullable": true }, "pe_ntm": { "type": "number", "nullable": true }, "pe_ltm": { "type": "number", "nullable": true }, "pe_fy": { "type": "number", "nullable": true }, "ebitda_margin_ntm": { "type": "number", "nullable": true }, "ebitda_margin_ltm": { "type": "number", "nullable": true }, "ebitda_margin_fy": { "type": "number", "nullable": true }, "revenue_growth_ntm_ltm": { "type": "number", "nullable": true }, "revenue_growth_fy1_fy": { "type": "number", "nullable": true }, "rule_of_40": { "type": "number", "nullable": true }, "rule_of_40_ltm": { "type": "number", "nullable": true } } }, "deal_activity": { "description": "Summary of this company's transaction activity (funding rounds and acquisitions as target, plus investments it has made).\n", "type": "object", "properties": { "total_fundings_as_target": { "type": "integer" }, "total_acquisitions_as_target": { "type": "integer" }, "total_investments_made": { "type": "integer" }, "last_funding_date": { "type": "string", "format": "date", "nullable": true }, "last_deal_date": { "type": "string", "format": "date", "nullable": true } } } } } ] }, "InvestorRef": { "description": "Minimal investor reference.", "allOf": [ { "$ref": "#/components/schemas/CompanyRef" } ] }, "InvestorProfile": { "description": "Investor profile with activity statistics.", "allOf": [ { "$ref": "#/components/schemas/Company" }, { "type": "object", "properties": { "employee_count": { "type": "integer", "nullable": true, "description": "Approximate number of employees (often null for investment firms)" }, "stats": { "type": "object", "description": "Activity statistics across all deals this investor participated in.", "properties": { "total_deals": { "type": "integer" }, "deals_last_12m": { "type": "integer" }, "avg_round_size": { "type": "number", "nullable": true, "description": "Millions USD - average amount raised" }, "median_valuation": { "type": "number", "nullable": true, "description": "Millions USD - median deal valuation" }, "median_ev_revenue": { "type": "number", "nullable": true }, "median_ev_ebitda": { "type": "number", "nullable": true }, "most_common_deal_type": { "type": "string", "nullable": true }, "most_common_deal_subtype": { "type": "string", "nullable": true }, "top_countries": { "type": "array", "maxItems": 5, "items": { "type": "object", "properties": { "country": { "type": "string" }, "count": { "type": "integer" } } } }, "top_verticals": { "type": "array", "maxItems": 5, "items": { "type": "object", "properties": { "vertical": { "type": "string" }, "count": { "type": "integer" } } } } } } } } ] }, "DealMultiples": { "type": "object", "properties": { "ev_revenue": { "type": "number", "nullable": true, "description": "EV / revenue multiple implied by the deal, where available" }, "ev_ebitda": { "type": "number", "nullable": true } } }, "Deal": { "description": "A single transaction (M&A deal, funding round, or IPO) with its target company and participants. M&A deals populate `buyers`; funding rounds populate `lead_investors`.\n", "type": "object", "properties": { "id": { "type": "string", "format": "uuid" }, "deal_date": { "type": "string", "format": "date", "nullable": true }, "deal_type": { "type": "string", "nullable": true, "description": "Deal category. Common values: Early, Growth, M&A, Public listing, Secondary, Venture - the response may also carry other or null values (e.g. funding rows with an unclassified type)." }, "deal_subtype": { "type": "string", "nullable": true }, "deal_synopsis": { "type": "string", "nullable": true }, "deal_valuation": { "type": "number", "nullable": true, "description": "Millions USD" }, "deal_raised": { "type": "number", "nullable": true, "description": "Millions USD" }, "deal_revenue": { "type": "number", "nullable": true, "description": "Millions USD (target revenue at the time of the deal)" }, "deal_ebitda": { "type": "number", "nullable": true, "description": "Millions USD" }, "deal_multiples": { "$ref": "#/components/schemas/DealMultiples" }, "target": { "allOf": [ { "$ref": "#/components/schemas/CompanyRef" } ], "nullable": true }, "buyers": { "type": "array", "description": "Ordered list of acquirers. Populated only for M&A deals; empty for funding rounds, Public listing, and Secondary deals (whose participants appear in lead_investors).", "items": { "$ref": "#/components/schemas/CompanyRef" } }, "lead_investors": { "type": "array", "description": "Ordered list of lead investors (funding rounds).", "items": { "$ref": "#/components/schemas/CompanyRef" } }, "created_at": { "type": "string", "format": "date-time", "nullable": true }, "updated_at": { "type": "string", "format": "date-time", "description": "Timestamp of the last update (UTC)", "nullable": true }, "deleted": { "type": "boolean", "default": false } } }, "DealFull": { "description": "Single-deal response - like `Deal` but includes all participants and target sector context.", "allOf": [ { "$ref": "#/components/schemas/Deal" }, { "type": "object", "properties": { "target": { "allOf": [ { "$ref": "#/components/schemas/CompanyRef" }, { "type": "object", "properties": { "verticals": { "type": "array", "items": { "type": "string" }, "nullable": true }, "themes": { "type": "array", "items": { "type": "string" }, "nullable": true }, "client_focus": { "type": "array", "items": { "type": "string" }, "nullable": true }, "revenue_model": { "type": "array", "items": { "type": "string" }, "nullable": true }, "company_type": { "type": "array", "items": { "type": "string" }, "nullable": true }, "founded": { "type": "integer", "nullable": true }, "region": { "type": "string", "nullable": true }, "city": { "type": "string", "nullable": true } } } ] }, "investors": { "type": "array", "description": "Full list of investors (lead and non-lead) in the funding round. Empty for M&A deals.", "items": { "$ref": "#/components/schemas/CompanyRef" } } } } ] }, "InvestmentRow": { "description": "Single deal viewed from an investor's perspective.", "allOf": [ { "$ref": "#/components/schemas/Deal" }, { "type": "object", "properties": { "role": { "type": "string", "enum": [ "lead_investor", "buyer" ], "description": "How the company/investor took part: `lead_investor` (led a funding round) or `buyer` (recorded in the deal's buyer/acquirer set - an M&A acquirer, or a non-lead participant in a funding round). Independent of deal_type." } } } ] }, "FundingList": { "type": "object", "properties": { "data": { "type": "array", "items": { "$ref": "#/components/schemas/Deal" } }, "meta": { "$ref": "#/components/schemas/PageMeta" } } }, "MnaList": { "type": "object", "properties": { "data": { "type": "array", "items": { "$ref": "#/components/schemas/Deal" } }, "meta": { "$ref": "#/components/schemas/PageMeta" } } }, "AggregateRequest": { "type": "object", "required": [ "metric" ], "properties": { "metric": { "type": "string", "enum": [ "ev_revenue", "ev_ebitda", "valuation", "raised", "revenue", "ebitda" ] }, "time_bucket": { "type": "string", "enum": [ "month", "quarter", "year", "none" ], "default": "none" }, "filters": { "$ref": "#/components/schemas/TransactionFilters" } } }, "AggregateResponse": { "type": "object", "properties": { "data": { "type": "array", "items": { "type": "object", "properties": { "bucket": { "type": "string", "nullable": true, "description": "'YYYY-MM' (month), 'YYYY-Qn' (quarter), or 'YYYY' (year); null when time_bucket=none" }, "n": { "type": "integer", "description": "Number of deals in bucket (post-outlier trim)" }, "median": { "type": "number", "nullable": true }, "q1": { "type": "number", "nullable": true }, "q3": { "type": "number", "nullable": true }, "warning": { "type": "string", "nullable": true, "enum": [ "insufficient_sample", null ] } } } }, "meta": { "type": "object", "properties": { "metric": { "type": "string" }, "time_bucket": { "type": "string" }, "total_deals": { "type": "integer", "description": "Before outlier trim" }, "outliers_trimmed": { "type": "integer" }, "methodology": { "type": "object", "properties": { "small_n_threshold": { "type": "integer" }, "outlier_rule": { "type": "string", "example": "iqr_1.5" }, "default_date_range_years": { "type": "integer", "example": 5 }, "empty_buckets_returned": { "type": "boolean", "example": true }, "date_range": { "type": "object", "properties": { "from": { "type": "string", "format": "date" }, "to": { "type": "string", "format": "date" } } } } } } } } }, "LookupResponse": { "type": "object", "properties": { "filters": { "type": "array", "items": { "type": "object", "properties": { "field": { "type": "string" }, "type": { "type": "string", "enum": [ "string", "number", "boolean", "date", "datetime", "uuid", "array_string", "array_uuid" ] }, "operators": { "type": "array", "items": { "type": "string", "enum": [ "eq", "in", "gte", "lte", "between", "overlaps", "ilike" ] } }, "values": { "type": "array", "items": { "type": "string" }, "description": "Present when the field is enum-backed" }, "description": { "type": "string", "description": "Optional human-readable hint; present on some fields only." } } } }, "sort_fields": { "type": "array", "items": { "type": "string" } }, "sub_resources": { "type": "array", "items": { "type": "string", "description": "e.g. `/companies/{id}/fundings`" } } } }, "TransactionFilters": { "type": "object", "properties": { "id": { "type": "array", "items": { "type": "string", "format": "uuid" } }, "target_id": { "type": "array", "items": { "type": "string", "format": "uuid" } }, "investor_id": { "type": "array", "items": { "type": "string", "format": "uuid" }, "description": "Match deals where any of these companies participated as a lead investor or buyer" }, "deal_type": { "type": "array", "items": { "type": "string", "enum": [ "Early", "Growth", "M&A", "Public listing", "Secondary", "Venture" ] } }, "deal_subtype": { "type": "array", "items": { "type": "string", "enum": [ "PE buyout", "Strategic M&A", "ICO", "Series A", "Series B", "Series C", "Series D", "Series E", "Series F", "Series G", "Series H", "Series I", "Series J", "Pre-seed", "Seed", "Angel", "Strategic investment", "Undisclosed stage", "Secondary - private", "Secondary - public" ] } }, "date_from": { "type": "string", "format": "date" }, "date_to": { "type": "string", "format": "date" }, "valuation_min": { "type": "number" }, "valuation_max": { "type": "number" }, "raised_min": { "type": "number" }, "raised_max": { "type": "number" }, "revenue_min": { "type": "number" }, "revenue_max": { "type": "number" }, "ebitda_min": { "type": "number" }, "ebitda_max": { "type": "number" }, "ev_revenue_min": { "type": "number" }, "ev_revenue_max": { "type": "number" }, "ev_ebitda_min": { "type": "number" }, "ev_ebitda_max": { "type": "number" }, "target_country": { "type": "array", "items": { "type": "string" } }, "target_region": { "type": "array", "items": { "type": "string", "enum": [ "Africa", "Central Asia", "East Asia", "Eastern Europe", "Latin America", "Middle East", "North America", "Northern Europe", "Oceania", "South Asia", "South-East Asia", "Southern Europe", "Western Europe" ] } }, "target_verticals": { "type": "array", "items": { "type": "string" } }, "target_themes": { "type": "array", "items": { "type": "string" } }, "target_client_focus": { "type": "array", "items": { "type": "string" } }, "target_revenue_model": { "type": "array", "items": { "type": "string" } }, "target_company_type": { "type": "array", "items": { "type": "string" } }, "updated_at": { "type": "string", "format": "date-time", "description": "Change-feed checkpoint: returns records updated at or after this timestamp. In change-feed mode, soft-deleted records are included automatically - include_deleted is not required." }, "include_deleted": { "type": "boolean", "default": false, "description": "Include soft-deleted deal records. Not needed in change-feed mode (an updated_at checkpoint already surfaces deletions); use it for non-change-feed queries." } }, "description": "Cohort filters shared by POST /transactions and POST /transactions/aggregate." } } } }