DatahyenaDatahyena
API Reference

Acquisitions

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

List acquisitions

GET
/v1/acquisitions

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

Authorization

apiKey
X-API-Key<token>

In: header

Query Parameters

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
paymentType?array<>

Payment type filters. Repeat the query key for multiple values.

minAmountUsd?number

Minimum deal amount in USD.

Range0 <= value
maxAmountUsd?number

Maximum deal amount in USD.

Range0 <= value
isMerger?boolean

Filter to mergers or non-merger acquisitions.

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.

naicsCode?string

NAICS 2022 code for the target (acquired) 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"
verticals?array<>

Target company verticals (OR). High-level sector buckets. Pass "unknown" to include companies we have not tagged with a vertical.

companyId?string

Return only events where this company is the acquirer or the target.

domain?string

Return only deals where the company at this domain is the acquirer or the target. Matches the primary domain or any domain it has redirected from; a full URL is accepted. 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/acquisitions"
{  "success": true,  "data": [    {      "id": "019e8a3c-0a12-7e88-a3d1-4f5a6b7c8d9e",      "dealAmountUsdCents": 25000000000,      "dealAmountUsd": 250000000,      "dealAmountOriginalCurrency": "USD",      "dealAmountOriginalCents": 25000000000,      "paymentType": "cash",      "isMerger": false,      "announcedAt": "2026-05-29T00:00:00.000Z",      "closingAt": "2026-08-01T00:00:00.000Z",      "discoveredAt": "2026-05-30T12:00:00.000Z",      "acquirer": {        "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"      },      "target": {        "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"  }}

Funding Events

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

Executive Moves

Executive job-change signals across tracked companies and people.