List of Transactions

Introduction

List and search transactions - M&A deals, funding rounds, and public listings - across the entire company universe. Each row carries the target company plus the deal's headline economics (valuation, amount raised, implied multiples) and its participants: M&A deals populate buyers, while funding rounds populate lead_investors. Use it to build deal screens, pull comparable transactions for a vertical, track every deal a given investor or acquirer took part in, or run a daily change-feed sync. To retrieve the full investor roster for a funding round, fetch the single deal via GET /transactions/{id}.

Set up

Endpoint

POST https://multiples.vc/api/private/v1/transactions

Request - send a JSON body. Every field is optional; an empty body returns the most recent transactions across all deal types.

Get all (minimal) - most recent deals, first page:

{
  "sort": "deal_date:desc",
  "limit": 100
}

Get a filtered set - US M&A deals valued at $100M or more, 2023-2025:

{
  "filters": {
    "deal_type": ["M&A"],
    "target_country": ["USA"],
    "date_from": "2023-01-01",
    "date_to": "2025-12-31",
    "valuation_min": 100
  },
  "sort": "deal_date:desc",
  "limit": 100
}

Track one investor - every deal Sequoia took part in:

{
  "filters": {
    "investor_id": [
      "9918f9bb-0d74-434d-9029-a44cbee87637"
    ]
  },
  "sort": "deal_date:desc",
  "limit": 3
}

All amounts and bounds (valuation_*, raised_*, revenue_*, ebitda_*) are expressed in millions of USD.

field	type	description
`filters.id`	string[] (uuid)	Batch lookup by deal ID.
`filters.target_id`	string[] (uuid)	Return deals whose target is any of these companies.
`filters.investor_id`	string[] (uuid)	Match deals where any of these companies participated as a lead investor or buyer.
`filters.deal_type`	string[]	One or more of `Early`, `Growth`, `M&A`, `Public listing`, `Secondary`, `Venture`.
`filters.deal_subtype`	string[]	One or more of `PE buyout`, `Strategic M&A`, `ICO`, `Series A`-`Series J`, `Pre-seed`, `Seed`, `Angel`, `Strategic investment`, `Undisclosed stage`, `Secondary - private`, `Secondary - public`.
`filters.date_from`	string (date)	Earliest deal date (inclusive).
`filters.date_to`	string (date)	Latest deal date (inclusive).
`filters.valuation_min`	number	Minimum deal valuation (millions USD).
`filters.valuation_max`	number	Maximum deal valuation (millions USD).
`filters.raised_min`	number	Minimum amount raised (millions USD).
`filters.raised_max`	number	Maximum amount raised (millions USD).
`filters.revenue_min`	number	Minimum target revenue at the time of the deal (millions USD).
`filters.revenue_max`	number	Maximum target revenue at the time of the deal (millions USD).
`filters.ebitda_min`	number	Minimum target EBITDA (millions USD).
`filters.ebitda_max`	number	Maximum target EBITDA (millions USD).
`filters.ev_revenue_min`	number	Minimum implied EV/revenue multiple.
`filters.ev_revenue_max`	number	Maximum implied EV/revenue multiple.
`filters.ev_ebitda_min`	number	Minimum implied EV/EBITDA multiple.
`filters.ev_ebitda_max`	number	Maximum implied EV/EBITDA multiple.
`filters.target_country`	string[]	Target's ISO 3166-1 alpha-3 country codes (e.g. `USA`, `GBR`, `DEU`).
`filters.target_region`	string[]	Target's region (e.g. `North America`, `Western Europe`).
`filters.target_verticals`	string[]	Deals whose target is tagged with any of these verticals (e.g. `Biopharmaceuticals`, `Medical Devices`, `Industrial Software`).
`filters.target_themes`	string[]	Deals whose target is tagged with any of these themes (e.g. `FinTech`, `B2B SaaS`, `HealthTech`).
`filters.target_client_focus`	string[]	Deals whose target matches any of these client-focus tags.
`filters.target_revenue_model`	string[]	Deals whose target matches any of these revenue models.
`filters.target_company_type`	string[]	Deals whose target matches any of these company types.
`filters.updated_at`	string (date-time)	Change-feed checkpoint: returns deals updated at or after this timestamp.
`filters.include_deleted`	boolean	Include soft-deleted deals; set `true` on change-feed pulls. Default `false`.
`sort`	string	`field:asc\|desc` (e.g. `deal_date:desc`, `updated_at:asc`). Valid fields are listed in `/lookup/transactions`.
`fields`	string	Comma-separated allowlist of fields to return.
`limit`	integer	Page size. Default `100`, maximum `1000`.
`page`	integer	1-indexed page number. Default `1`.

Valid values for the tag filters (target_verticals, target_themes, target_region, etc.) are discoverable via /lookup/transactions. Note that verticals and themes are distinct taxonomies - for example FinTech is a theme, not a vertical.

Response - data is an array of deals; meta carries pagination. Absent values are returned as null (or empty arrays).

For the investor request above (all deals where Sequoia participated), the response is below. The first row is a funding round, so buyers is empty and lead_investors is populated (an M&A row would instead populate buyers):

{
  "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
  }
}

Funding rounds populate lead_investors instead of buyers. The investor-filtered request above (every deal Sequoia took part in) returns rounds like this:

{
  "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...",
      "deal_valuation": 965000,
      "deal_raised": 65000,
      "deal_revenue": 47000,
      "deal_multiples": {
        "ev_revenue": 20.53191489361702
      },
      "target": {
        "id": "75bdc421-b56b-4624-9c1f-6aa931f7dfcb",
        "name": "Anthropic",
        "short_name": "Anthropic",
        "website": "https://www.anthropic.com",
        "country": "USA"
      },
      "lead_investors": [
        {
          "id": "7a80d476-dd57-4b80-93fe-c92f04419fe7",
          "name": "Altimeter Capital",
          "short_name": "Altimeter Capital",
          "website": "http://www.altimeter.com",
          "country": "USA"
        },
        {
          "id": "0ab023f8-8c07-413b-9f4f-7a790df5ed3d",
          "name": "Dragoneer",
          "short_name": "Dragoneer",
          "website": "https://www.dragoneer.com",
          "country": "USA"
        }
        // ... Greenoaks, Sequoia Capital
      ],
      "created_at": "2026-06-04T17:15:56.814376+00:00",
      "updated_at": "2026-06-04T17:15:56.814376+00:00",
      "deleted": false
    }
    // ... more deals
  ],
  "meta": {
    "page": 1,
    "limit": 100,
    "returned": 100,
    "total": 1445,
    "has_more": true
  }
}

Fields

Deal

field	type	description
`id`	string (uuid)	Unique deal identifier.
`deal_date`	string (date) \| null	Date the deal was announced or completed. May be null.
`deal_type`	string \| null	Deal category. Common values: `Early`, `Growth`, `M&A`, `Public listing`, `Secondary`, `Venture` (non-exhaustive; may be null).
`deal_subtype`	string \| null	More specific classification (e.g. `Strategic M&A`, `PE buyout`, `Series A`). May be null.
`deal_synopsis`	string \| null	Narrative summary of the deal.
`deal_valuation`	number \| null	Deal valuation, millions USD.
`deal_raised`	number \| null	Amount raised, millions USD (funding rounds).
`deal_revenue`	number \| null	Target revenue at the time of the deal, millions USD.
`deal_ebitda`	number \| null	Target EBITDA, millions USD.
`deal_multiples`	object	Implied transaction multiples (see below).
`target`	object \| null	The company that was acquired, raised, or listed (see Company reference).
`buyers`	object[]	Ordered list of acquirers; populated only for M&A deals (empty for funding rounds, Public listing, and Secondary deals). Company references.
`lead_investors`	object[]	Ordered list of lead investors (funding rounds). Company references.
`created_at`	string (date-time) \| null	When the record was first created (UTC).
`updated_at`	string (date-time) \| null	Timestamp of the last update to this record (UTC).
`deleted`	boolean	`true` if the record has been soft-deleted; appears in change-feed pulls.

Deal multiples (`deal_multiples`)

field	type	description
`ev_revenue`	number \| null	EV/revenue multiple implied by the deal, where available.
`ev_ebitda`	number \| null	EV/EBITDA multiple implied by the deal, where available.

Company reference (`target`, `buyers[]`, `lead_investors[]`)

field	type	description
`id`	string (uuid)	Company identifier.
`name`	string \| null	Company display name.
`short_name`	string \| null	Short display name.
`website`	string \| null	Company website URL.
`country`	string \| null	ISO 3166-1 alpha-3 country code.

Pagination (`meta`)

field	type	description
`page`	integer	1-indexed page number echoed back.
`limit`	integer	Page size used.
`returned`	integer	Rows in this response.
`total`	integer \| null	Total rows matching the query.
`has_more`	boolean	`true` when further pages remain.

Resolve Investor Names

Transaction Details