Investor Investments

Introduction

Returns the deals an investor participated in, each row viewed from that investor's perspective. Every entry is a full transaction record - the target company, deal economics, lead investors, and a role field describing how this investor took part (lead_investor or buyer). Use it to build an investor's deal track record or to drive a daily activity feed for a single firm. Results are offset-paginated and ordered newest first.

Set up

Endpoint

GET https://multiples.vc/api/private/v1/investors/{id}/investments

Request

{id} is the investor's UUID (resolve a name to an ID with POST /investors/resolve if you only have the name). Pagination is controlled with query params.

param	type	description
`id`	string (uuid)	Path parameter. The investor's ID. Required.
`page`	integer	1-indexed page number (offset pagination). Default `1`.
`limit`	integer	Page size. Default `100`, maximum `1000`.

All / minimal - first page of an investor's investments:

GET /api/private/v1/investors/9918f9bb-0d74-434d-9029-a44cbee87637/investments

Paginated - page 2 at 50 rows per page:

GET /api/private/v1/investors/9918f9bb-0d74-434d-9029-a44cbee87637/investments?page=2&limit=50

Response

{
  "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
  }
}

Notes on the example: all fields are shown as returned (absent values are null). role reflects how this 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). Because role derives from the deal's participant tables and not from deal_type, role: buyer can appear on a funding round whose buyers array is empty.

Fields

Each item in data is a deal record (the same shape as /transactions) with one extra field, role, describing how this investor participated.

Deal identity & classification

field	type	description
`id`	string (uuid)	Deal ID.
`deal_date`	string (date) \| null	Date of the transaction. 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 label (e.g. `Seed`, `Series C`, `Strategic M&A`). May be null.
`deal_synopsis`	string \| null	Free-text summary of the deal. May be null.
`role`	string	`lead_investor` or `buyer`.

Deal economics

field	type	description
`deal_valuation`	number \| null	Deal valuation, in millions USD.
`deal_raised`	number \| null	Amount raised, in millions USD.
`deal_revenue`	number \| null	Target revenue at the time of the deal, in millions USD.
`deal_ebitda`	number \| null	Target EBITDA at the time of the deal, in millions USD.
`deal_multiples`	object	Deal-implied multiples (see below), where available.
`deal_multiples.ev_revenue`	number \| null	EV / revenue multiple implied by the deal.
`deal_multiples.ev_ebitda`	number \| null	EV / EBITDA multiple implied by the deal.

Participants

field	type	description
`target`	object \| null	The company that was funded or acquired (minimal company reference).
`target.id`	string (uuid)	Target company ID.
`target.name`	string \| null	Target company display name.
`target.short_name`	string \| null	Short display name.
`target.website`	string \| null	Target company website.
`target.country`	string \| null	ISO 3166-1 alpha-3 country code (e.g. `USA`, `GBR`, `DEU`).
`buyers`	array	Ordered list of acquirers; populated only for M&A deals (empty for funding rounds). Each item is a company reference with the same fields as `target`.
`lead_investors`	array	Ordered list of lead investors (funding rounds). Empty for M&A deals. Each item is a company reference with the same fields as `target`.

Record metadata

field	type	description
`created_at`	string (date-time) \| null	When the deal record was created (UTC).
`updated_at`	string (date-time) \| null	Timestamp of the last update to this record (UTC).
`deleted`	boolean	Always `false` for this endpoint - soft-deleted records are excluded (this endpoint has no change-feed mode).

Pagination (`meta`)

field	type	description
`meta.page`	integer	1-indexed page number echoed back.
`meta.limit`	integer	Page size used.
`meta.returned`	integer	Rows in this response.
`meta.total`	integer	Total deals this investor participated in.
`meta.has_more`	boolean	True when further pages remain.

Investor Profile

Investor Co-investors