DatahyenaDatahyena
API Reference

Funding Events

Funding rounds with company, investors, amount, round, and source context.

List funding events

GET
/v1/funding-events

Returns funding events ordered by announcement date, newest first. Costs one credit per returned record.

Authorization

apiKey
X-API-Key<token>

In: header

Query Parameters

enrichedOnly?boolean

Return only rounds whose company we resolved — the ones carrying a domain, industry, country and description. Rounds we could not place still ship by default, because for some markets we are the only source that reports them at all; this is how a caller who needs enriched records asks for just those.

cursor?string

Opaque pagination cursor returned as pagination.nextCursor.

since?string

Return events announced on or after this date (YYYY-MM-DD). ISO-8601 timestamps are also accepted.

until?string

Return events announced on or before this date (YYYY-MM-DD, inclusive). ISO-8601 timestamps are also accepted.

limit?number

Maximum records to return.

Default20
Range1 <= value <= 100
round?array<>

Funding round filters. Repeat the query key for multiple values.

minAmountUsd?number

Minimum funding amount in USD.

Range0 <= value
maxAmountUsd?number

Maximum funding amount in USD.

Range0 <= value
naicsCode?string

NAICS 2022 code for the company. Matches the code and everything beneath it, so "51" also returns 5132 and 5173. Any 2- to 6-digit NAICS code is accepted; codes deeper than we classify (e.g. 541511) match at their deepest classified parent (5415). Sector ranges work: "31-33" returns all manufacturing. Pass "unknown" for companies we could not classify.

Value in"11" | "111" | "1114" | "113" | "114" | "21" | "2111" | "212" | "22" | "2211" | "2213" | "23" | "236" | "2361" | "238" | "2382" | "31-33" | "311" | "3111" | "3115" | "3116" | "3117" | "3118" | "3121" | "3122" | "313" | "315" | "316" | "3162" | "321" | "322" | "3222" | "323" | "325" | "3253" | "3254" | "3255" | "3256" | "3261" | "327" | "3272" | "331" | "332" | "3323" | "3325" | "3328" | "3331" | "3332" | "3334" | "3341" | "3342" | "3343" | "3344" | "3345" | "335" | "3351" | "3352" | "3353" | "3359" | "336" | "3361" | "3363" | "3364" | "3365" | "3366" | "337" | "3372" | "3391" | "3399" | "42" | "4231" | "4233" | "4234" | "4235" | "4236" | "4238" | "4244" | "4245" | "4246" | "4247" | "4248" | "44-45" | "4411" | "4441" | "4451" | "4491" | "4561" | "4571" | "458" | "4591" | "4593" | "48-49" | "4811" | "482" | "483" | "484" | "485" | "4851" | "4853" | "4921" | "493" | "51" | "5121" | "5122" | "5131" | "5132" | "5161" | "5162" | "5173" | "519" | "5192" | "52" | "5221" | "5231" | "5239" | "5241" | "5242" | "53" | "5311" | "5312" | "532" | "5322" | "54" | "5411" | "5412" | "5413" | "5414" | "5415" | "5416" | "5417" | "5418" | "5419" | "5511" | "56" | "5613" | "5614" | "5615" | "5616" | "5617" | "562" | "5621" | "611" | "6111" | "6113" | "6114" | "6115" | "621" | "6213" | "6214" | "6215" | "6216" | "622" | "623" | "6241" | "6242" | "6244" | "71" | "7111" | "7112" | "7115" | "712" | "7132" | "7139" | "721" | "722" | "7225" | "81" | "811" | "8111" | "812" | "8121" | "8123" | "8129" | "813" | "8131" | "8132" | "8134" | "8139" | "92" | "9211" | "9221" | "9281" | "unknown"
countries?array<>

Headquarters country codes (OR). Repeat the query key for multiple values. Use unknown to match companies with no country on file.

industryGroups?array<>

Company industry groups (OR). Repeat the query key for multiple values. Values are the LinkedIn industry labels listed here, matched case-insensitively; older LinkedIn names (e.g. Computer Software) and common short forms (e.g. software) map to the current label. Use unknown to match companies with no industry on file.

verticals?array<>

Company verticals (OR). High-level sector buckets. Repeat the key for multiple values; free-text like "artificial intelligence" is canonicalised. Pass "unknown" to include companies we have not tagged with a vertical.

employeeBuckets?array<>

Company employee-count buckets (OR).

companyId?string

Return only events for this entity-resolved company id.

domain?string

Return only events for the company at this domain. Matches the company's primary domain or any domain it has redirected from; a full URL is accepted and reduced to its domain. An unknown domain returns an empty page.

includeTotal?boolean

Also return pagination.total, the number of records matching these filters across all pages. Costs no credits; adds a count query, so ask for it when you need the list size.

Response Body

application/json

application/json

application/json

application/json

application/json

application/json

curl -X GET "https://example.com/v1/funding-events"
{  "success": true,  "data": [    {      "id": "019e8a3c-0a12-7e88-a3d1-4f5a6b7c8d9e",      "round": "series_a",      "roundStated": true,      "amountUsdCents": 1250000000,      "amountUsd": 12500000,      "amountOriginalCurrency": "USD",      "amountOriginalCents": 1250000000,      "investors": [        {          "id": "019e8a3c-3c21-7d55-bb2e-0e1f2a3b4c5d",          "name": "Example Ventures"        }      ],      "announcedAt": "2026-05-29T00:00:00.000Z",      "discoveredAt": "2026-05-30T12:00:00.000Z",      "company": {        "id": "019e8a3c-2b10-7c44-8a1f-9d8e7c6b5a40",        "name": "Acme AI",        "domain": "acme.ai",        "website": "https://www.acme.ai/",        "description": "AI workflow automation for enterprise revenue teams.",        "linkedinHandle": "acme-ai",        "linkedinUrl": "https://www.linkedin.com/company/acme-ai",        "linkedinGeoId": "90000084",        "linkedinIndustryId": "4",        "naicsCode": "5132",        "naicsLevel": 4,        "hqCity": "San Francisco",        "hqCountry": {          "code": "US",          "name": "United States"        },        "industryGroup": "Software Development",        "industrySubTags": [          "Artificial Intelligence",          "Sales Automation"        ],        "verticals": [          "ai",          "fintech"        ],        "employeeCountBucket": "51-200",        "foundedYear": 2021,        "businessModel": "B2B SaaS"      }    }  ],  "pagination": {    "hasMore": true,    "nextCursor": "eyJpZCI6IjAxOWU4YTNjLTJiMTAtN2M0NC04YTFmLTlkOGU3YzZiNWE0MCJ9",    "total": 1284  },  "meta": {    "endpoint": "funding_events.list",    "creditsUsed": 20,    "creditsRemaining": 980,    "notice": "No events on record for this company."  }}
{  "success": false,  "error": {    "code": "INVALID_INPUT",    "message": "limit must not be greater than 100"  },  "meta": {    "requestId": "019e8a3c-9f0b-7c12-88ab-1d2e3f4a5b6c"  }}
{  "success": false,  "error": {    "code": "UNAUTHORIZED",    "message": "Missing or invalid API key."  },  "meta": {    "requestId": "019e8a3c-9f0b-7c12-88ab-1d2e3f4a5b6c"  }}
{  "success": false,  "error": {    "code": "PAYMENT_REQUIRED",    "message": "Workspace has no credits remaining. Top up to continue."  },  "meta": {    "requestId": "019e8a3c-9f0b-7c12-88ab-1d2e3f4a5b6c"  }}
{  "success": false,  "error": {    "code": "FORBIDDEN",    "message": "Request blocked by abuse prevention policy."  },  "meta": {    "requestId": "019e8a3c-9f0b-7c12-88ab-1d2e3f4a5b6c"  }}
{  "success": false,  "error": {    "code": "TOO_MANY_REQUESTS",    "message": "Rate limit exceeded for this workspace and plan."  },  "meta": {    "requestId": "019e8a3c-9f0b-7c12-88ab-1d2e3f4a5b6c"  }}

API Reference

Public API endpoints exposed by Datahyena.

Acquisitions

Acquisition and merger signals with acquirer, target, amount, and source context.