Enrich a company by name or social profile
Enriches a company using its properties — best match is used in case of ambiguity Upstream direct: USD 0.0098/call. Overflow: USD 0.01225/call via orthogonal. Disabled draft retail: maximum of published direct/overflow fixed prices, without markup. Unknown overflow is not a zero quote. Draft retail USD 0.01225/billable call. Usage limits: Supply at least one company name or social-profile field; multiple fields are allowed. Name-based lookup is a best match and may select the wrong company for an ambiguous name. The paid expand parameter is excluded. Supplier limits: 500 requests/minute per IP globally; per-user route limits scale with plan (60/min Starter, 120/min Pro, 600/min Scale). Autocomplete/lookup routes use a separate per-user bucket. Catalog prices and provider response fields are not proof of actual TREG charges. Reconcile X-Treg-Cost-Micro with call IDs and usage records; caching and overflow may change the charge. Before enabling, verify business results and charges for this account, plus X-Treg-Meta customer tagging and usage-by-tag reconciliation. Testnet verification results for this definition are recorded below. Testnet verification (2026-11-04): business result passed; OpenAny debit USD 0.01225 matched the configured retail policy for this request. This is one observed call, not a guarantee for future requests. The paired example is captured from testnet; long excerpts may be shortened. Actual TREG upstream debit was not verified.
- Selected price
- $0.01225 / callPublished pricing
- Providers / implementations
- 1 / 1
- Requests · 30d
- —Loading...
- Success rate · 30d
- —Loading...
| Provider | Price / call | Requests · 30d | Performance | Access |
|---|---|---|---|---|
tregCurrent Enrich a company by name or social profile · POST | $0.01225 / call | — | —successP50— |
Loading...
Statistics use persisted gateway logs from the last 30 days up to now, including today.
Success rate = successful requests / all requests;
P50 = median latency of successful requests.
Prices reflect the published API contract. Contract revision: 1. Price update time: not supplied.
Playground
Run sends a real API request. Charges follow the published API contract.
Request example
curl \
'https://api.openany.si/v1/agent-apis/treg/call/companyenrich.companies.enrich.by_properties' \
-X POST \
-H "Authorization: Bearer $OPENANY_API_KEY" \
-H 'Content-Type: application/json' \
--data-raw '{
"linkedinUrl": "https://www.linkedin.com/company/anthropicresearch",
"name": "Anthropic"
}'- Method
- POST
- Endpoint
https://api.openany.si/v1/agent-apis/treg/call/companyenrich.companies.enrich.by_properties- Content type
- application/json
- Authentication
Authorization: Bearer $OPENANY_API_KEY
Request example
curl \
'https://api.openany.si/v1/agent-apis/treg/call/companyenrich.companies.enrich.by_properties' \
-X POST \
-H "Authorization: Bearer $OPENANY_API_KEY" \
-H 'Content-Type: application/json' \
--data-raw '{
"linkedinUrl": "https://www.linkedin.com/company/anthropicresearch",
"name": "Anthropic"
}'Input parameters
Fields in this listing; additional options and input encoding can vary by provider.
| Parameter | Location | Type | Required | Description |
|---|---|---|---|---|
facebookUrl | JSON request bodybody | string | No | company Facebook page URL minLength: 1 |
instagramUrl | JSON request bodybody | string | No | company Instagram profile URL minLength: 1 |
linkedinId | JSON request bodybody | string | No | numeric LinkedIn company id minLength: 1 |
linkedinUrl | JSON request bodybody | string | No | company LinkedIn page URL minLength: 1 |
name | JSON request bodybody | string | No | company name minLength: 1 |
twitterUrl | JSON request bodybody | string | No | company X/Twitter profile URL minLength: 1 |
youTubeUrl | JSON request bodybody | string | No | company YouTube channel URL minLength: 1 |
Required markers inside a nested object or variant apply when that object or variant is used.
Sample response
Third-party response reference · Documented HTTP 200; not a live result. Historical third-party reference. It may differ from the current provider response; verify the original contract before use.
Third-party reference · Testnet verified: business + billing (ab
{
"categories": [
"b2b",
"b2g",
"saas"
],
"description": "Anthropic is an AI safety and research company developing reliable, interpretable, and steerable artificial intelligence systems. The company conducts frontier AI research across areas including interpretability, reinforcement learning from… [truncated]",
"domain": "anthropic.com",
"employees": "1K-5K",
"financial": {
"funding": [
{
"amount": "42000000000 USD",
"date": "2026-10-01T00:00:00",
"from": "Broadcom",
"type": "Debt Financing",
"url": null
},
{
"amount": "50000000000 USD",
"date": "2026-05-28T00:00:00",
"from": "Altimeter Capital, Capital Group, Coatue, D1 Capital Partners, Dragoneer Investment Group, GIC, Greenoaks, ICONIQ Capital, Sequoia Capital, XN",
"type": "Series H",
"url": null
},
{
"amount": "10000000000 USD",
"date": "2026-04-24T00:00:00",
"from": "Google",
"type": "Series H",
"url": null
},
{
"amount": "5000000000 USD",
"date": "2026-04-20T00:00:00",
"from": "Amazon",
"type": "Series H",
"url": null
},
{
"amount": "30000000000 USD",
"date": "2026-02-12T00:00:00",
"from": "Coatue, D. E. Shaw & Co., Dragoneer Investment Group, Founders Fund, GIC, ICONIQ Capital, MGX",
"type": "Series G",
"url": null
},
{
"amount": "13000000000 USD",
"date": "2025-09-02T00:00:00",
"from": "Fidelity, ICONIQ Capital, Lightspeed Venture Partners",
"type": "Series F",
"url": null
},
{
"amount": "2500000000 USD",
"date": "2025-05-16T00:00:00",
"from": null,
"type": "Debt Financing",
"url": null
},
{
"amount": "3500000000 USD",
"date": "2025-03-03T00:00:00",
"from": "Lightspeed Venture Partners",
"type": "Series E",
"url": null
},
{
"amount": "1000000000 USD",
"date": "2025-01-22T00:00:00",
"from": "Google",
"type": "Corporate Round",
"url": null
},
{
"amount": "4000000000 USD",
"date": "2024-11-22T00:00:00",
"from": "Amazon",
"type": "Corporate Round",
"url": null
},
{
"amount": null,
"date": "2024-06-11T00:00:00",
"from": null,
"type": "Venture Round",
"url": null
},
{
"amount": null,
"date": "2024-05-31T00:00:00",
"from": "G Squared, Manhattan Venture Partners (MVP)",
"type": "Secondary Market",
"url": null
},
{
"amount": null,
"date": "2024-03-22T00:00:00",
"from": "Advanced Technology Investment Company, Manhattan Venture Partners (MVP)",
"type": "Secondary Market",
"url": null
},
{
"amount": null,
"date": "2024-01-11T00:00:00",
"from": "Menlo Ventures",
"type": "Series D",
"url": null
},
{
"amount": null,
"date": "2023-10-27T00:00:00",
"from": "Google",
"type": "Corporate Round",
"url": null
}
],
"funding_date": "2026-10-01T00:00:00",
"funding_stage": "debt_financing",
"stock_exchange": null,
"stock_symbol": null,
"total_funding": 161000000000
},
"founded_year": 2021,
"id": "01925daf-4d65-7b71-b410-c66b43867984",
"industries": [
"Software",
"Business Services",
"Business Services/Management Consulting",
"Business Services/Research & Development"
],
"industry": "Business Services",
"keywords": [
"ai safety research",
"frontier ai research",
"interpretable ai",
"steerable ai",
"reliable ai systems",
"large language models",
"ai alignment",
"model interpretability",
"reinforcement learning from human feedback",
"ai governance",
"responsible ai",
"ai policy",
"societal impacts of ai",
"claude",
"ai agents",
"coding assistants",
"code modernization",
"customer support automation",
"cybersecurity ai",
"financial services ai",
"healthcare ai",
"life sciences ai",
"higher education ai",
"government ai",
"legal ai",
"enterprise ai",
"developer platform",
"language model api",
"model safety",
"ai security",
"research workbench",
"public benefit corporation",
"ai safety",
"generative ai",
"ai research",
"ai products",
"machine learning",
"public benefit",
"artificial intelligence"
],
"legalName": "Anthropic PBC",
"location": {
"address": "195 Howard St, San Francisco, CA 94105, USA",
"city": {
"id": 131186,
"latitude": 37.77493,
"longitude": -122.41942,
"name": "San Francisco"
},
"country": {
"code": "US",
"latitude": 38,
"longitude": -97,
"name": "United States"
},
"phone": "+1 909-481-8999",
"postal_code": "94104-5401",
"state": {
"code": "CA",
"id": 4845,
"latitude": 36.77826,
"longitude": -119.41793,
"name": "California"
}
},
"logo_url": "https://api.companyenrich.com/companies/logo/01925daf-4d65-7b71-b410-c66b43867984",
"naics_codes": [
"513210",
"541715"
],
"name": "Anthropic",
"page_rank": 5.346816,
"reported_employees": "501-1K",
"revenue": "50m-100m",
"seo_description": "We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.",
"socials": {
"angellist_url": null,
"crunchbase_url": "https://www.crunchbase.com/organization/anthropic",
"facebook_url": "https://facebook.com/AnthropicAI/?ref=py_c",
"g2_url": "https://www.g2.com/products/anthropic-claude/reviews",
"github_url": null,
"instagram_url": null,
"linkedin_id": "74126343",
"linkedin_url": "https://www.linkedin.com/company/anthropicresearch",
"twitter_url": "https://x.com/AnthropicAI",
"youtube_url": "https://www.youtube.com/@anthropic-ai"
},
"subsidiaries": null,
"technologies": [
"Cloudflare DNS",
"Gmail",
"Google Apps",
"Microsoft Office 365",
"Amazon AWS",
"Atlassian Cloud"
],
"type": "private",
"updated_at": "2026-10-26T12:29:04.542953Z",
"website": "https://anthropic.com"
}Agent integration
Copy the resource contract without sharing an API key.
View API Markdown
API Markdown
# Enrich a company by name or social profile
Enriches a company using its properties — best match is used in case of ambiguity
Upstream direct: USD 0.0098/call.
Overflow: USD 0.01225/call via orthogonal.
Disabled draft retail: maximum of published direct/overflow fixed prices, without markup. Unknown overflow is not a zero quote. Draft retail USD 0.01225/billable call.
Usage limits: Supply at least one company name or social-profile field; multiple fields are allowed. Name-based lookup is a best match and may select the wrong company for an ambiguous name. The paid expand parameter is excluded.
Supplier limits: 500 requests/minute per IP globally; per-user route limits scale with plan (60/min Starter, 120/min Pro, 600/min Scale). Autocomplete/lookup routes use a separate per-user bucket.
Catalog prices and provider response fields are not proof of actual TREG charges. Reconcile X-Treg-Cost-Micro with call IDs and usage records; caching and overflow may change the charge.
Before enabling, verify business results and charges for this account, plus X-Treg-Meta customer tagging and usage-by-tag reconciliation. Testnet verification results for this definition are recorded below.
Testnet verification (2026-11-04): business result passed; OpenAny debit USD 0.01225 matched the configured retail policy for this request. This is one observed call, not a guarantee for future requests. The paired example is captured from testnet; long excerpts may be shortened. Actual TREG upstream debit was not verified.
Documentation: https://openany.si/apis/e4869358-68b8-4a93-976f-85e66b2b7d9b
Method: POST
Endpoint: https://api.openany.si/v1/agent-apis/treg/call/companyenrich.companies.enrich.by_properties
Price: $0.01225 / call
Provider: treg
Contract revision: 1
Price source: selected implementation in the OpenAny public API catalog. Price update time: not supplied.
Use OPENANY_API_KEY from the environment. API Key calls use your shared balance.
## Prepared request
```bash
curl \
'https://api.openany.si/v1/agent-apis/treg/call/companyenrich.companies.enrich.by_properties' \
-X POST \
-H "Authorization: Bearer $OPENANY_API_KEY" \
-H 'Content-Type: application/json' \
--data-raw '{
"linkedinUrl": "https://www.linkedin.com/company/anthropicresearch",
"name": "Anthropic"
}'
```
## API contract
```json
{
"resource_type": "api",
"name": "Enrich a company by name or social profile",
"endpoint": "https://api.openany.si/v1/agent-apis/treg/call/companyenrich.companies.enrich.by_properties",
"method": "POST",
"content_type": "application/json",
"execution_mode": "sync",
"authentication": {
"type": "bearer",
"environment_variable": "OPENANY_API_KEY"
},
"inputs": [
{
"description": "JSON request body for Enrich a company by name or social profile. See individual field descriptions for input requirements.",
"json_schema": {
"additionalProperties": false,
"anyOf": [
{
"required": [
"name"
]
},
{
"required": [
"linkedinUrl"
]
},
{
"required": [
"linkedinId"
]
},
{
"required": [
"twitterUrl"
]
},
{
"required": [
"facebookUrl"
]
},
{
"required": [
"instagramUrl"
]
},
{
"required": [
"youTubeUrl"
]
}
],
"description": "JSON request body for Enrich a company by name or social profile. See individual field descriptions for input requirements.",
"properties": {
"facebookUrl": {
"description": "company Facebook page URL",
"minLength": 1,
"type": "string"
},
"instagramUrl": {
"description": "company Instagram profile URL",
"minLength": 1,
"type": "string"
},
"linkedinId": {
"description": "numeric LinkedIn company id",
"minLength": 1,
"type": "string"
},
"linkedinUrl": {
"description": "company LinkedIn page URL",
"example": "https://www.linkedin.com/company/anthropicresearch",
"minLength": 1,
"type": "string"
},
"name": {
"description": "company name",
"example": "Anthropic",
"minLength": 1,
"type": "string"
},
"twitterUrl": {
"description": "company X/Twitter profile URL",
"minLength": 1,
"type": "string"
},
"youTubeUrl": {
"description": "company YouTube channel URL",
"minLength": 1,
"type": "string"
}
},
"required": [],
"type": "object"
},
"location": "body",
"name": "body",
"nullable": false,
"pointer": "",
"required": true,
"type": "object"
}
],
"billing": {
"currency": "USD",
"mode": "fixed",
"priceMicroUsd": "12250",
"rounding": null,
"unit": "call",
"unitQuantity": null
},
"examples": [
{
"http_status": 200,
"name": "Third-party reference · Testnet verified: business + billing (ab",
"request": {
"body": {
"linkedinUrl": "https://www.linkedin.com/company/anthropicresearch",
"name": "Anthropic"
},
"headers": {},
"path": {},
"query": {}
},
"response_body": {
"categories": [
"b2b",
"b2g",
"saas"
],
"description": "Anthropic is an AI safety and research company developing reliable, interpretable, and steerable artificial intelligence systems. The company conducts frontier AI research across areas including interpretability, reinforcement learning from… [truncated]",
"domain": "anthropic.com",
"employees": "1K-5K",
"financial": {
"funding": [
{
"amount": "42000000000 USD",
"date": "2026-10-01T00:00:00",
"from": "Broadcom",
"type": "Debt Financing",
"url": null
},
{
"amount": "50000000000 USD",
"date": "2026-05-28T00:00:00",
"from": "Altimeter Capital, Capital Group, Coatue, D1 Capital Partners, Dragoneer Investment Group, GIC, Greenoaks, ICONIQ Capital, Sequoia Capital, XN",
"type": "Series H",
"url": null
},
{
"amount": "10000000000 USD",
"date": "2026-04-24T00:00:00",
"from": "Google",
"type": "Series H",
"url": null
},
{
"amount": "5000000000 USD",
"date": "2026-04-20T00:00:00",
"from": "Amazon",
"type": "Series H",
"url": null
},
{
"amount": "30000000000 USD",
"date": "2026-02-12T00:00:00",
"from": "Coatue, D. E. Shaw & Co., Dragoneer Investment Group, Founders Fund, GIC, ICONIQ Capital, MGX",
"type": "Series G",
"url": null
},
{
"amount": "13000000000 USD",
"date": "2025-09-02T00:00:00",
"from": "Fidelity, ICONIQ Capital, Lightspeed Venture Partners",
"type": "Series F",
"url": null
},
{
"amount": "2500000000 USD",
"date": "2025-05-16T00:00:00",
"from": null,
"type": "Debt Financing",
"url": null
},
{
"amount": "3500000000 USD",
"date": "2025-03-03T00:00:00",
"from": "Lightspeed Venture Partners",
"type": "Series E",
"url": null
},
{
"amount": "1000000000 USD",
"date": "2025-01-22T00:00:00",
"from": "Google",
"type": "Corporate Round",
"url": null
},
{
"amount": "4000000000 USD",
"date": "2024-11-22T00:00:00",
"from": "Amazon",
"type": "Corporate Round",
"url": null
},
{
"amount": null,
"date": "2024-06-11T00:00:00",
"from": null,
"type": "Venture Round",
"url": null
},
{
"amount": null,
"date": "2024-05-31T00:00:00",
"from": "G Squared, Manhattan Venture Partners (MVP)",
"type": "Secondary Market",
"url": null
},
{
"amount": null,
"date": "2024-03-22T00:00:00",
"from": "Advanced Technology Investment Company, Manhattan Venture Partners (MVP)",
"type": "Secondary Market",
"url": null
},
{
"amount": null,
"date": "2024-01-11T00:00:00",
"from": "Menlo Ventures",
"type": "Series D",
"url": null
},
{
"amount": null,
"date": "2023-10-27T00:00:00",
"from": "Google",
"type": "Corporate Round",
"url": null
}
],
"funding_date": "2026-10-01T00:00:00",
"funding_stage": "debt_financing",
"stock_exchange": null,
"stock_symbol": null,
"total_funding": 161000000000
},
"founded_year": 2021,
"id": "01925daf-4d65-7b71-b410-c66b43867984",
"industries": [
"Software",
"Business Services",
"Business Services/Management Consulting",
"Business Services/Research & Development"
],
"industry": "Business Services",
"keywords": [
"ai safety research",
"frontier ai research",
"interpretable ai",
"steerable ai",
"reliable ai systems",
"large language models",
"ai alignment",
"model interpretability",
"reinforcement learning from human feedback",
"ai governance",
"responsible ai",
"ai policy",
"societal impacts of ai",
"claude",
"ai agents",
"coding assistants",
"code modernization",
"customer support automation",
"cybersecurity ai",
"financial services ai",
"healthcare ai",
"life sciences ai",
"higher education ai",
"government ai",
"legal ai",
"enterprise ai",
"developer platform",
"language model api",
"model safety",
"ai security",
"research workbench",
"public benefit corporation",
"ai safety",
"generative ai",
"ai research",
"ai products",
"machine learning",
"public benefit",
"artificial intelligence"
],
"legalName": "Anthropic PBC",
"location": {
"address": "195 Howard St, San Francisco, CA 94105, USA",
"city": {
"id": 131186,
"latitude": 37.77493,
"longitude": -122.41942,
"name": "San Francisco"
},
"country": {
"code": "US",
"latitude": 38,
"longitude": -97,
"name": "United States"
},
"phone": "+1 909-481-8999",
"postal_code": "94104-5401",
"state": {
"code": "CA",
"id": 4845,
"latitude": 36.77826,
"longitude": -119.41793,
"name": "California"
}
},
"logo_url": "https://api.companyenrich.com/companies/logo/01925daf-4d65-7b71-b410-c66b43867984",
"naics_codes": [
"513210",
"541715"
],
"name": "Anthropic",
"page_rank": 5.346816,
"reported_employees": "501-1K",
"revenue": "50m-100m",
"seo_description": "We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.",
"socials": {
"angellist_url": null,
"crunchbase_url": "https://www.crunchbase.com/organization/anthropic",
"facebook_url": "https://facebook.com/AnthropicAI/?ref=py_c",
"g2_url": "https://www.g2.com/products/anthropic-claude/reviews",
"github_url": null,
"instagram_url": null,
"linkedin_id": "74126343",
"linkedin_url": "https://www.linkedin.com/company/anthropicresearch",
"twitter_url": "https://x.com/AnthropicAI",
"youtube_url": "https://www.youtube.com/@anthropic-ai"
},
"subsidiaries": null,
"technologies": [
"Cloudflare DNS",
"Gmail",
"Google Apps",
"Microsoft Office 365",
"Amazon AWS",
"Atlassian Cloud"
],
"type": "private",
"updated_at": "2026-10-26T12:29:04.542953Z",
"website": "https://anthropic.com"
}
}
]
}
```Error handling
| Status | Next step |
|---|---|
400 | Check the offering and request fields. |
401 / 403 | Verify your credentials and access permissions. |
402 | Inspect the selected access mode and returned payment requirements. |
429 | Respect the returned rate limit and retry guidance. |
5xx | Inspect the error and usage record before retrying a paid operation. |
Third-party reference · Testnet verified: business + billing (ab
Historical third-party reference. It may differ from the current provider response; verify the original contract before use.
Prepare your environment
Use a terminal with cURL installed.
Use an OpenAny API key with shared-balance access. Confirm availability and price before running; a call may charge your balance.
Set the key in your terminal using the hidden prompt below. Keep its value out of source files and logs.
Terminal · macOS / Linuxprintf 'OpenAny API key: ' read -r -s OPENANY_API_KEY export OPENANY_API_KEY printf '\n'Run the request
Paste the complete command below into your terminal.
Values to replace before running 1
Review these request fields before running. Keep the published provider and request method unchanged.
body- JSON request body for Enrich a company by name or social profile. See individual field descriptions for input requirements.
Terminal · cURLcurl \ 'https://api.openany.si/v1/agent-apis/treg/call/companyenrich.companies.enrich.by_properties' \ -X POST \ -H "Authorization: Bearer $OPENANY_API_KEY" \ -H 'Content-Type: application/json' \ --data-raw '{ "linkedinUrl": "https://www.linkedin.com/company/anthropicresearch", "name": "Anthropic" }'Check the response
Third-party response reference · Documented HTTP 200; not a live result.
Third-party reference · not a live result{ "categories": [ "b2b", "b2g", "saas" ], "description": "Anthropic is an AI safety and research company developing reliable, interpretable, and steerable artificial intelligence systems. The company conducts frontier AI research across areas including interpretability, reinforcement learning from… [truncated]", "domain": "anthropic.com", "employees": "1K-5K", "financial": { "funding": [ { "amount": "42000000000 USD", "date": "2026-10-01T00:00:00", "from": "Broadcom", "type": "Debt Financing", "url": null }, { "amount": "50000000000 USD", "date": "2026-05-28T00:00:00", "from": "Altimeter Capital, Capital Group, Coatue, D1 Capital Partners, Dragoneer Investment Group, GIC, Greenoaks, ICONIQ Capital, Sequoia Capital, XN", "type": "Series H", "url": null }, { "amount": "10000000000 USD", "date": "2026-04-24T00:00:00", "from": "Google", "type": "Series H", "url": null }, { "amount": "5000000000 USD", "date": "2026-04-20T00:00:00", "from": "Amazon", "type": "Series H", "url": null }, { "amount": "30000000000 USD", "date": "2026-02-12T00:00:00", "from": "Coatue, D. E. 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Common questions
Do I need a separate key for every provider?
Use your OpenAny API key for standard API access. Read it from OPENANY_API_KEY in your environment and keep it out of prompts, source code and logs.
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