DatahyenaDatahyena
API Reference

Executive Moves

Executive job-change signals across tracked companies and people.

List executive moves

GET
/v1/exec-moves

Returns executive appointment, promotion, departure, and transition 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.

companyId?string

Company UUID filter.

domain?string

Return only moves at the company with this domain. Matches the company's 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.

personId?string

Person UUID filter.

countries?array<>

Headquarters country codes (OR). Repeat the query key for multiple values.

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"
roleSeniority?array<>

Role seniority filters. Repeat the query key for multiple values.

moveType?array<>

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

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

Response Body

application/json

application/json

application/json

application/json

application/json

application/json

curl -X GET "https://example.com/v1/exec-moves"
{  "success": true,  "data": [    {      "id": "019e8a3c-0a12-7e88-a3d1-4f5a6b7c8d9e",      "person": {        "id": "019e8a3c-2b10-7c44-8a1f-9d8e7c6b5a40",        "name": "Jane Doe",        "linkedinHandle": "jane-doe",        "linkedinUrl": "https://www.linkedin.com/in/jane-doe"      },      "role": "Chief Financial Officer",      "roleSeniority": "c_level",      "moveType": "appointment",      "announcedAt": "2026-05-29T00:00:00.000Z",      "effectiveDate": "2026-06-15T00:00:00.000Z",      "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"      },      "fromCompany": {        "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"  }}

Acquisitions

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

Hiring Signals

Hiring signals from company job boards: leadership openings, founding roles, team scaling, technology hiring (beta) and hard-to-fill roles, plus each company's current hiring profile. Build-outs, surges, freezes, country expansion and filled leadership roles are rolling out as weekly history accumulates.