Company Enrichment API

Company Enrichment Datalegion API

Enrich one company from a domain or a company name into Data Legion's premium firmographics: industry, size, founding year, office locations, stock tickers and social profiles, plus headcount, hiring, attrition, growth and turnover, workforce breakdowns by seniority, function and tenure, and monthly headcount history.

POST/v1/run/company_enrichment.datalegion
可用率
100.00%
30d · 2 次调用
请求数
2
30d
响应时间
4.0s
中位数 · 30d

价格

Company Enrichment Datalegion API 价格

你需支付
US$480.60
US$48.06/千次请求,只为实际用量付费。没有月度套餐。
有了 US$0.10 的初始余额,你的前 2 次请求免费。

调用方式

一个请求获取 Company Enrichment Datalegion

import os, requests

res = requests.post(
    "https://api.getanyapi.com/v1/run/company_enrichment.datalegion",
    headers={"Authorization": f"Bearer {os.environ['ANYAPI_KEY']}"},
    json={},
)
print(res.json())
打开于
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示例响应
{
  "data": {
    "averageTenureMonths": 29,
    "datasetVersion": "example",
    "departures": {},
    "domains": [
      "example.com"
    ],
    "employeeCount": 12500,
    "employeeCountByEducation": {},
    "employeeCountByExpenseCategory": {},
    "employeeCountByFunction": {},
    "employeeCountByMonth": [
      {
        "count": 12500,
        "departures": 42,
        "growthRate": 12.5,
        "hires": 42,
        "month": "example",
        "netChange": 42
      }
    ],
    "employeeCountBySeniority": {},
    "employeeCountByTenure": {},
    "employeeGrowthRate": {},
    "employeeTurnoverRate": {},
    "founded": 42,
    "growthRateByExpenseCategory": {},
    "growthRateByFunction": {},
    "growthRateBySeniority": {},
    "headline": "Example title",
    "industry": "general",
    "lastSeenUtc": 42,
    "legionId": "a1b2c3d4",
    "linkedinEmployeeCount": 12500,
    "linkedinFollowers": 12500,
    "linkedinId": "https://example.com/page",
    "linkedinUrl": "https://example.com/page",
    "locations": [
      {
        "addressLine2": "123 Main St",
        "continent": "example",
        "country": "US",
        "countryCode": "US",
        "geo": "example",
        "isCurrent": true,
        "isPrimary": true,
        "lastSeenUtc": 42,
        "locality": "example",
        "postalCode": "94107",
        "region": "CA",
        "regionCode": "CA",
        "streetAddress": "123 Main St"
      }
    ],
    "matchConfidence": "a1b2c3d4",
    "matchType": "general",
    "matchedOn": [
      "example"
    ],
    "name": "Example title",
    "nameNormalized": "Example title",
    "newHires": {},
    "numSources": 42,
    "profiles": [
      {
        "network": "example",
        "profileId": "a1b2c3d4",
        "url": "https://example.com/page",
        "username": "alex_rivera"
      }
    ],
    "size": "example",
    "summary": "A short example description of this item.",
    "tickers": [
      {
        "exchange": "example",
        "symbol": "example"
      }
    ],
    "type": "general",
    "website": "https://example.com/page"
  },
  "found": true,
  "reason": "not_found"
}

完整的参数与响应参考:这个接口的每个字段、类型和示例。

参考

一个请求,一种响应结构。

你发送的每个字段和收到的每个字段,都附有真实示例。

最近验证于 2026-10-25 · 可用率和延迟按 30d 统计

请求体

JSON,POST 到这个接口。

  • domainstring

    hubspot.com

    Company website domain, e.g. hubspot.com. The strongest identifier. Send either domain or name, not both.

  • minConfidenceenum

    Lowest match confidence that still counts as found. Omit it for Data Legion's default.

  • namestring

    Company name, for when you have no domain. A domain matches more reliably.

  • requiredstring

    Fields a match must have, as a Data Legion expression over its snake_case field names combined with AND, OR and parentheses, e.g. linkedin_url AND founded. A match without them counts as not found.

你发送。 一个简短的 JSON 请求体。显示的值只是示例,请换成你自己的。

响应

JSON,每个字段一个示例值。

datadata

The enriched company, or null when nothing matched.

  • averageTenureMonthsnumber

    Average tenure of current employees, in months.

  • datasetVersionstring

    Data Legion dataset build the record came from.

  • departuresobject

    Departures over the trailing 1, 3, 6 and 12 months, keyed 1m, 3m, 6m and 12m.

  • domainsstring[]

    Every website domain Data Legion links to the company, the primary one included.

  • employeeCountinteger

    Employees Data Legion currently counts from the people profiles it holds, usually below the LinkedIn figure.

  • employeeCountByEducationobject

    Current employees per highest degree, e.g. bachelors, masters, doctorate.

  • employeeCountByExpenseCategoryobject

    Current employees per expense category, e.g. research_and_development, sales_and_marketing.

  • employeeCountByFunctionobject

    Current employees per job function, e.g. engineering, sales, product.

  • employeeCountBySeniorityobject

    Current employees per seniority level, e.g. c_level, director, manager, senior.

  • employeeCountByTenureobject

    Current employees per tenure band, e.g. <1yr, 1-2yr, 2-5yr.

  • employeeGrowthRateobject

    Headcount growth rate as a fraction over the trailing 1, 3, 6 and 12 months, keyed 1m, 3m, 6m and 12m.

  • employeeTurnoverRateobject

    Turnover rate as a fraction over the trailing 1, 3, 6 and 12 months, keyed 1m, 3m, 6m and 12m.

  • foundedinteger

    Year the company was founded.

  • growthRateByExpenseCategoryobject

    Headcount growth rate per expense category, each keyed 1m, 3m, 6m and 12m.

  • growthRateByFunctionobject

    Headcount growth rate per job function, each keyed 1m, 3m, 6m and 12m.

  • growthRateBySeniorityobject

    Headcount growth rate per seniority level, each keyed 1m, 3m, 6m and 12m.

  • headlinestring

    One-line company tagline, as the company writes it.

  • industrystring

    Company industry, lowercase, e.g. software development.

  • lastSeenUtcinteger

    UTC epoch timestamp in seconds (Unix time) of the month Data Legion last saw the company, at the first of that month. Multiply by 1000 for a JS Date in milliseconds.

  • legionIdstring

    Data Legion persistent company id.

  • linkedinEmployeeCountinteger

    Employee count the company's LinkedIn page states.

  • linkedinFollowersinteger

    LinkedIn follower count.

  • linkedinIdstring

    Company LinkedIn numeric id.

  • linkedinUrlstring

    Company LinkedIn page URL.

  • matchConfidencestring

    How sure the match is: high, moderate or low.

  • matchTypestring

    How the identifier matched, e.g. exact.

  • matchedOnstring[]

    Identifiers the match was made on, e.g. domain or name.

  • namestring

    Company name as Data Legion displays it.

  • nameNormalizedstring

    Lowercase normalized company name, the form Data Legion matches on.

  • newHiresobject

    Hires over the trailing 1, 3, 6 and 12 months, keyed 1m, 3m, 6m and 12m.

  • numSourcesinteger

    Number of sources Data Legion merged into this record.

  • sizestring

    Employee headcount band, e.g. 51-200.

  • summarystring

    Long company description, as the company writes it.

  • typestring

    Ownership type, e.g. private, public.

  • websitestring

    Primary company website domain, e.g. hubspot.com.

each employeeCountByMonthdata.employeeCountByMonth[]

Monthly headcount history, oldest month first.

  • countinteger

    Employees counted that month.

  • departuresinteger

    Employees who left that month.

  • growthRatenumber

    Change in headcount from the month before, as a fraction.

  • hiresinteger

    Employees who joined that month.

  • monthstring

    Calendar month as YYYY-MM.

  • netChangeinteger

    Change in headcount from the month before.

each locationdata.locations[]

Office locations, the headquarters marked isPrimary.

  • addressLine2string

    Second line of the address.

  • continentstring

    Continent.

  • countrystring

    Country.

  • countryCodestring

    ISO 3166-1 alpha-2 country code, e.g. US.

  • geostring

    Coordinates as "lat,lon".

  • isCurrentboolean

    True while the office is still in use.

  • isPrimaryboolean

    True for the headquarters.

  • lastSeenUtcinteger

    UTC epoch timestamp in seconds (Unix time) Data Legion last saw this location. Multiply by 1000 for a JS Date in milliseconds.

  • localitystring

    City.

  • postalCodestring

    Postal code.

  • regionstring

    State or region.

  • regionCodestring

    ISO 3166-2 region code, e.g. US-MA.

  • streetAddressstring

    Street address.

each profiledata.profiles[]

Social and directory profiles Data Legion links to the company.

  • networkstring

    Network the profile is on, e.g. linkedin, facebook, crunchbase.

  • profileIdstring

    Numeric or opaque id on that network.

  • urlstring

    Profile URL.

  • usernamestring

    Handle on that network.

each tickerdata.tickers[]

Stock tickers the company trades under. Empty for a private company.

  • exchangestring

    Exchange the ticker lists on, e.g. NYSE.

  • symbolstring

    Ticker symbol, e.g. HUBS.

top level
  • foundboolean

    False when Data Legion matched no company, or none at the requested confidence or with the required fields.

  • reason"not_found"

    Present only when `found` is false, and says why there is no result. `not_found`: the source states the target does not exist, or returned nothing for it. A `found: false` answer is a successful call, not an error, and `costUsd` is what it actually cost.

你收到。 字段有名称、有类型,无论哪个数据源响应,结构都一样。

常见问题

关于 Company Enrichment Datalegion API

AnyAPI 的 Company Enrichment Datalegion API 只需一次 POST 请求 /v1/run/company_enrichment.datalegion,就以统一格式的 JSON 返回 Company Enrichment 数据。Enrich one company from a domain or a company name into Data Legion's premium firmographics: industry, size, founding year, office locations, stock tickers and social profiles, plus headcount, hiring, attrition, growth and turnover, workforce breakdowns by seniority, function and tenure, and monthly headcount history.无论哪个数据源提供服务,AnyAPI 都返回同一套统一的 schema。费用:每千次请求 US$48.06 起,以美元计价,无需订阅,也没有每月最低消费。过去 30 天,通过 AnyAPI 发起的 Company Enrichment Datalegion API 调用中有 100.0% 成功,响应时间中位数为 4.0 秒,共测量 2 次调用。

费用:每千次请求 US$48.06 起,以美元计价,无需订阅,也没有每月最低消费。你只需为一个美元钱包充值,每次调用从中扣费。部分由钱包付费的失败请求会产生处理费用,我们按成本原价转嫁,不加价;错误响应会显示收取的金额。

Enrich one company from a domain or a company name into Data Legion's premium firmographics: industry, size, founding year, office locations, stock tickers and social profiles, plus headcount, hiring, attrition, growth and turnover, workforce breakdowns by seniority, function and tenure, and monthly headcount history.响应是统一格式的 JSON,外层结构与每个 AnyAPI 接口相同,所以解析另一个接口只需换一个 URL,别的都不用改。

过去 30 天,通过 AnyAPI 发起的 Company Enrichment Datalegion API 调用中有 100.0% 成功,响应时间中位数为 4.0 秒,共测量 2 次调用。这些是 AnyAPI 对经过网关的流量的自有测量,持续重新计算,并非公开承诺的服务等级目标。

可以。新的 AnyAPI 账户自带 US$0.10 免费余额,无需绑卡,足够调用 2 次 Company Enrichment Datalegion,每次 US$0.04806。

向 https://api.getanyapi.com/v1/run/company_enrichment.datalegion 发送 POST 请求,在 “Authorization: Bearer” 请求头中放入你的 AnyAPI 密钥,并以 JSON 请求体传入参数。同一个密钥和同一个钱包适用于所有 AnyAPI 接口。

不需要。你向一个预付费的 AnyAPI 余额充值美元,每个请求从中扣费。没有月度套餐,也没有最低消费,同一个余额可用于所有 AnyAPI 接口。

有。TypeScript 用 npm 安装 @getanyapi/sdk,Python 用 pip 安装 getanyapi。两者都用同一个密钥调用所有 AnyAPI 接口,任何 HTTP 客户端也都可以。

可以。智能体可以连接 https://api.getanyapi.com/mcp 上的 AnyAPI MCP 服务器,或者向 https://api.getanyapi.com/agent/signup 发送一次无需认证的 POST 来创建自己的免费试用密钥,再通过 HTTP 调用这个接口。