Your programmatic edgeProgrammatic edge
to private markets.

Build on Specter's intelligence and access 55M companies, 550M people, and proprietary signals through a simple REST API. Enrich your CRM, power your internal tools, or build custom deal sourcing workflows.

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Trusted by 400+ investment firms

Coverage

55M+

Companies with 250+ data points each

550M+

People with 60+ data points each

330K+

Investors across VC, PE and strategics

1M+

Transactions: funding rounds, M&A and IPOs

Endpoints and enrichment

What the API covers

73 REST endpoints behind one API key.

The REST API covers companies, people, investors and transactions, the four signal feeds, your team's network, and the searches and lists you save in the app. Every endpoint is documented with OpenAPI 3.0 and ships with cURL, Python and JavaScript samples.

Limits and pricing

Enrichment charged per matched result
Unresolved lookups not charged
Enrichment endpoints offer bulk calling
15 requests/second
Pages return up to 5,000 records

Endpoint samples

Company enrichment

People enrichment

Investor signals

Talent signals

Revenue signals

Email lookup

Text search

Saved searches

GET/api/v1/companies/{companyId}Docs

// Enrich companies with 250+ data points:

{
  "id": "1a2b3c4d5e6g1a2b3c4d5e6g",
  "organization_name": "Hedgehog Analytics",
  "organization_rank": 1258,
  "primary_role": "company",
  "roles": ["company"],
  "description": "Hedgehog Analytics is a data-driven company specializing in B2C sales across North America.",
  "customer_focus": "b2c",
  "last_updated": "2025-01-01",
  "tags": ["SaaS", "Data Analytics"],
  "industries": ["Data and Analytics", "DeepTech", "Information Technology", "Software"],
  "sub_industries": ["Analytics", "Open Source", "Software"],
  "operating_status": "active",
  "highlights": ["headcount_surge", "no_recent_funding", "strong_headcount_growth", "strong_social_growth", "strong_web_traffic_growth", "top_tier_investors"],
  "new_highlights": ["headcount_surge", "strong_headcount_growth", "strong_social_growth", "strong_web_traffic_growth", "top_tier_investors"],
  "regions": ["Europe"],
  "founded_year": 2019,
  "founders": ["Sam Specter", "Arthur Miller"],
  "founder_count": 2,
  "employee_count": 39,
  "employee_count_range": "1-10",
  "revenue_estimate_usd": 50000,
  "investors": ["YCombinator"],
  "investor_count": 1,
  "patent_count": 5,
  "trademark_count": 2,
  "website": {
    "domain": "hedgehog_analytics.com",
    "url": "https://www.hedgehog_analytics.com",
    "domain_aliases": ["hh_analytics.com", "hedgehoganalytics.com"]
  },
  "hq": {
    "city": "London",
    "state": "England",
    "country": "United Kingdom",
    "region": "Europe"
  },
  "contact": {
    "phone_number": "075555555",
    "email": "contact@hedgehog_analytics.com"
  },
  "ipo": [{
    "wentPublicOn": "2018-11-28",
    "stockExchange": "cnsx",
    "stockSymbol": "HGAN",
    "sharePrice": 0.001,
    "valuationPrice": 500000,
    "raisedAmount": 50000
  }],
  "growth_stage": "growth_stage",
  "funding": {
    "total_funding_usd": 50000,
    "last_funding_usd": 50000,
    "last_funding_date": "2020-01-01",
    "last_funding_type": "angel",
    "round_count": 1,
    "round_details": [{
      "date": "2020-02-02",
      "investors": ["YCombinator"],
      "type": "angel",
      "raised": 50000
    }],
    "post_money_valuation_usd": 123
  },
  "web": {
    "visits": 770,
    "popularity_rank": 16696448,
    "top_country": "Europe",
    "bounce_rate": 23,
    "bounce_rate_3mo_change": 3,
    "pages_per_visit": 1.02,
    "pages_per_visit_3mo_change": -0.88,
    "session_duration": 43,
    "session_duration_3mo_change": 20,
    "traffic_source": "Direct: 38.0%; Referrals: 8.8%; Search: 45.2%; Social: 5.9%; Mail: 0.1%",
    "country_breakdown": "Reddit: 100.0%"
  },
  "awards": [{
    "award_name": "Top Analytics Startup",
    "award_details": "Rank 2",
    "award_year": 2023,
    "award_org": "Data Innovation Awards",
    "award_link": "https://data_awards.com/leaderboards/analytics-2023",
    "logo_url": "https://specter-company-logo.s3.amazonaws.com/data_awards.jpeg"
  }],
  "award_count": 1,
  "news": [{
    "date": "2025-01-01",
    "title": "Hedgehog Analytics set to transform data-driven decision making in 2025",
    "url": "https://technews.com/2025/hedgehog-analytics-vision",
    "publisher": "TechNews Ltd"
  }],
  "reviews": {
    "g2": {
      "products": [{ "product_name": "Hedgehog Insights", "url": "https://www.g2.com/products/hedgehog_insights/reviews", "review_count": 15, "rating": 3.5 }],
      "rating_avg": 3.5,
      "review_count": 15
    },
    "trustpilot": { "url": "https://www.trustpilot.com/reviews/hedgehog_insights.com", "review_count": 5, "review_avg": 2.8 },
    "chrome_extensions": {
      "products": [{ "url": "https://chromewebstore.google.com/detail/hedgehod-customer-extension/fdafneoiangoeinaeoigneon", "name": "Hedgehog Customer Extension", "review_count": 15, "rating": 3.5, "user_count": 3.5, "overall_rank": 120, "is_featured": false }],
      "rating_avg": 3.5,
      "review_count": 15,
      "user_count": 150
    }
  },
  "socials": {
    "twitter": { "url": "twitter.com/hedgehog_analytics", "follower_count": 10 },
    "facebook": { "url": "facebook.com/hedgehog_analytics" },
    "linkedin": { "url": "linkedin.com/company/hedgehog_analytics", "follower_count": 5000 },
    "itunes": { "url": "apps.apple.com/sa/app/hedgehog_analytics/id34454543", "app_id": "hh3242533", "review_count": 50, "rating": 3.8 },
    "googleplay": { "url": "play.google.com/store/apps/details?id=com.hedgehog_analytics", "app_id": "hedgehog_analytics", "review_count": 50, "rating": 2.4, "install_count": 5000 },
    "instagram": { "url": "instagram.com/hedgehog_analytics", "follower_count": 40, "following_count": 2 },
    "crunchbase": { "url": "crunchbase.com/organization/hedgehog_analytics" }
  },
  "organization_name_aliases": "Porcupine Analytics",
  "tagline": "Hedgehog Analytics future data-driven sales company.",
  "certifications": [["HIPPA", "GDPR", "SOC 2", "B Corp", "ISO 27001"]],
  "customer_profile": "Small to medium business wanted to expand and improve their sales pipelines.",
  "traction_highlights": "5 million monthly unique users",
  "reported_clients": [["3a1b3c4d5e4g1a4453c4d5e3a", "2a4b3c6d75efg132b3c4d5e2f"]],
  "founder_info": [{
    "specter_person_id": "per_7f8d9e2a1b3c4d5e6f7g8h9i0",
    "full_name": "Sarah Chen",
    "title": "Co-Founder & CTO",
    "departments": ["Senior Leadership"],
    "seniority": "Executive Level"
  }],
  "acquisition": { "acquirer": "Acquire Er", "date": "2022-01-01", "amount_usd": 500000 },
  "technologies": ["Cloudflare CDN", "French Server Location", "Gravatar Profiles", "Hubspot Hosted"],
  "it_spend": 40,
  "traction_metrics": {
    "web_visits": { "latest": 12260, "1mo": { "value": 13649, "change": 130, "percentage": 1 }, "3mo": { "value": 13649, "change": 130, "percentage": 1 }, "6mo": { "value": 13649, "change": 130, "percentage": 1 }, "12mo": { "value": 13649, "change": 130, "percentage": 1 } },
    "employee_count": { "latest": 12260, "1mo": { "value": 13649, "change": 130, "percentage": 1 }, "3mo": { "value": 13649, "change": 130, "percentage": 1 }, "6mo": { "value": 13649, "change": 130, "percentage": 1 }, "12mo": { "value": 13649, "change": 130, "percentage": 1 } },
    "linkedin_followers": { "latest": 12260, "1mo": { "value": 13649, "change": 130, "percentage": 1 }, "3mo": { "value": 13649, "change": 130, "percentage": 1 }, "6mo": { "value": 13649, "change": 130, "percentage": 1 }, "12mo": { "value": 13649, "change": 130, "percentage": 1 } },
    "twitter_followers": { "latest": 12260, "1mo": { "value": 13649, "change": 130, "percentage": 1 }, "3mo": { "value": 13649, "change": 130, "percentage": 1 }, "6mo": { "value": 13649, "change": 130, "percentage": 1 }, "12mo": { "value": 13649, "change": 130, "percentage": 1 } }
  },
  "specter_strategic_signal_ids": ["adced32f-8a8b-495f-a8f3-333449769736"]
}

curl --request GET \
  --url https://app.tryspecter.com/api/v1/companies/{companyId} \
  --header 'X-API-Key: <api-key>'

Use cases

What teams build

Four jobs the API is used for.

Enrichment, search, signals and workflow automation. Under them sits the usage mix: what teams build first, how lookups are keyed and how many arrive in bulk.

Where the API runs

CRM enrichment
Sourcing dashboards
Internal dashboards
AI agents and assistants
Data warehouses
Saved searches polled as feeds

What the API is used for

Enrichment

The API's most popular job. Have a list of companies or people? Enrich it with 250+ data points including revenue signals, funding history, and verified emails.

Search

Query our database with natural language or structured filters. Find growth-stage AI companies in Europe with recent executive hires.

Signals

Subscribe to real-time alerts on investor interest, talent movements, and company milestones. Know before the market does.

Workflow automation

Connect saved searches and lists to your CRM or data warehouse. Keep your pipeline fresh without manual exports.

How teams use the API

What teams build first on the API

Internal dashboards

38%

Sourcing dashboards

29%

CRM enrichment

21%

AI agents & assistants

12%+13%

62%

of enrichment lookups arrive in bulk calls

How lookups are keyed

Domain

54%

LinkedIn URL

29%

17%

lookups per bulk call on every enrichment endpoint

Source · Usage mix across API workspaces over the trailing 90 days

Data and delivery

What's included

Everything on the Specter platform is available through the API.

Companies, people, investors and transactions, all four signal feeds, your team's network graph, and the searches and lists you save in the app. Call the API for records and feeds on demand, or take bulk delivery when you're loading a warehouse. Both read the same live record.

Datasets and delivery

55M+ companies and 550M+ people
330K+ investors and 1M+ transactions
Revenue, talent, interest and news signals as endpoints
Signals published with date and source
Bulk delivery to AWS, GCP or Snowflake
CSV or Parquet

How data is delivered

Where API data lands

Data warehouse

36%

Internal tools

31%

Agent harness

19%+11%

CRM

14%

48%

of workspaces poll a saved search as a feed

5,000

records per page at 15 requests per second per key

How often feeds are pulled

Daily

52%

Hourly

31%

Weekly

17%

Source · Usage mix across API workspaces over the trailing 90 days

Capabilities

Market signals via API

Revenue, talent, investor interest and news signals are all endpoints. Each is available as soon as it's published, with its date and source attached.

Search everything in plain English

One AI-search endpoint covers all eight products (companies, people, investors, talent and interest signals, funding rounds, acquisitions and IPOs) and returns the same rich objects the entity endpoints do.

Build searches programmatically

Build a search via API and cadence pulls with timestamps to fetch the right data at the right time.

Revenue and valuation on demand

The latest modeled revenue and post-money valuation sit on their own company endpoints with growth rates, next to funding rounds, acquisitions and IPOs.

Query your team's network

Who your team knows at a target company, deduplicated across teammates, with the teammate IDs that hold each connection. It's the warm intro path as JSON.

Misses never cost a credit

Enrichment is charged per matched result, so a lookup that finds nothing is free. Specter starts gathering that record so your next call can hit. Managing lists and searches is free too.

Bigger pages and fewer round-trips

Pages return up to 5,000 records at 15 requests per second, and every enrichment endpoint takes 50 lookups per bulk call.

Built to be read by your agents

Docs ship as llms.txt, llms-full.txt and Markdown on every page, and the same data is reachable through Specter MCP inside any agent you run.

Comparison

How the table was built

How the Specter API compares.

Specter's column comes from the API docs. "Other platforms" aggregates the published documentation and pricing of the private-markets and enrichment APIs we're most often compared with, as of August 2026.

Where the API differs

Modeled revenue and valuation endpoints
Growth rates included
Plain-English search across all eight products
Docs as llms.txt, llms-full.txt and Markdown
Same data through Specter MCP

Comparison table

Capability

Other platforms

What's included

Programmatic access

Yes

REST, 73 endpoints

Companies & people

Yes, coverage varies widely

55M+ companies · 550M+ people

Investors & transactions

Often a paid add-on, or fields on the company record

Included · 330K+ investors, 1M+ transactions

Modeled revenue & valuation

Occasional estimates on the profile

Own endpoints, with growth rates

Signal feeds as endpoints

In-app scores or change events

Revenue, Talent, Interest, News

Team network graph

In-app relationship tools at best

Dedicated endpoints

Verified email retrieval

Quota-limited or add-on credits

Per-person and in bulk

Querying & workflows

Plain-English search endpoint

In-app assistant only

One endpoint, all eight products

Saved searches as live feeds

In-app alerts and watchlists

Searches and lists, polled for new matches

Bulk lookups

Varies by endpoint

50 per request, every enrichment endpoint

Lookups that find no match

Rarely published; usually billed

Free. The record is gathered on demand

Scale & freshness

Max page size

50–1,000 records per request

Up to 5,000

Rate limit

Rarely published

15 requests/sec, per key

Data freshness

Snapshots that can lag up to two weeks

The live record

Warehouse delivery

Enterprise licensing or custom datasets

AWS, GCP, Snowflake · CSV/Parquet

Docs & agents

LLM-native documentation

Rarely published

llms.txt, llms-full.txt + Markdown per page

Runs inside AI agents

Several ship an MCP server

Specter MCP, all four signal feeds

Specter's column comes from our API docs. "Other platforms" aggregates the published documentation and pricing of the private-markets and enrichment APIs we're most often compared with, as of August 2026. "Rarely published" means the figure isn't public, not that the capability is missing.

Getting started

What you need

Get a key and start building.

Request a key from your API dashboard. Keys are approved within one business day and come with 200 trial credits. Test endpoints in the interactive console, then integrate with the REST API from your CRM, internal tools or agents.

Included with a key

200 trial credits
Approval within one business day
Interactive API console
OpenAPI 3.0 spec
cURL, Python and JavaScript samples
Docs as llms.txt for your agents

Three steps

Request an API key

Sign up and request access from your API dashboard. Keys are approved within one business day, and 200 trial credits come with it.

Test in the console

Use our interactive API console to explore endpoints and test queries before integrating.

Integrate and build

Add Specter's data to your CRM, internal tools, or custom workflows with our REST API.

100+ teams have migrated from:

Ready to build?

Start integrating Specter's data into your workflows today. Book a demo and we'll get you set up.

View documentation

Now we spend far less time on infrastructure and spend more of our time building those relationships and investing behind the best founders in our ecosystems. I think Specter will become table stakes for any fund that wants to be in the top quartile.

Richard Dulude

Partner at Underscore VC

In a short period of time, Specter has become an integral part of how we ensure we have 100% coverage of the markets we operate in.

Gideon Hayden

Partner at Leaders Fund

Case Study→

We continually evaluate tools on the market, and Specter repeatedly stands out with its highly differentiated UX and comprehensive data.

Andrea Gurnari

Partner at 2100 Ventures

Case Study→

We are embedding Specter into all our workstreams, and it is showing significant promise as part of our strategy to find the next company we will back.

Ozge Sevim

Investor at 212 Ventures

Case Study→

Specter enhances the efficiency of our operations, and contributes to the in-house data systems we build to generate alpha. Covering both bases makes it a highly versatile and valued part of our tech stack.

Abhijay Thacker

VP at Picus Capital

Case Study→

Specter allows me to narrow or expand the scope of searches at will, without needing to build or maintain any of the data pipelines and infrastructure myself. Using it on a daily basis is super powerful.

Timothy Chen

Partner at Essence VC

Case Study→

We've already found one of our investments through Specter! That being said, its value extends beyond pure sourcing. Signals provide a level of intelligence that's valuable throughout the entire investment lifecycle.

Pietro Invernizzi

Founder of firedrop

Case Study→

Specter's performance-based signals draw us towards the right startups at the right time, so we're prepared as we can be to make the right decision.

Danny Chepenko

Corporate VC at inDrive

Case Study→

We've invested in a founder with roots at Stanford and Wharton. They were a rising star in their industry with a strong technical background. We found them as a Stealth signal through Specter.

Iynna Halilou

Partner at The MBA Fund

Case Study→

Tools like Specter surface early talent signals, company foundations, team moves, and nascent traction, beyond what internal scouts can manually track. We see companies we wouldn't see otherwise.

Ben Urwin

Data at Giant Ventures

Specter has been a useful addition to our sourcing stack - it's surfaced interesting companies we might have otherwise missed and helps keep our pipeline fresh.

Dominique Yadegar

VP at Bonfire Ventures

Case Study→

Specter is my go-to for founder outreach before anything else. My time on LinkedIn is substantially reduced; I open Specter, run our saved searches, look at Talent and Investor signals, and reach out

Aarushi Sharma

Investor at BEENEXT

Richard Dulude

Partner at Underscore VC

In a short period of time, Specter has become an integral part of how we ensure we have 100% coverage of the markets we operate in.

Gideon Hayden

Partner at Leaders Fund

Case Study→

We continually evaluate tools on the market, and Specter repeatedly stands out with its highly differentiated UX and comprehensive data.

Andrea Gurnari

Partner at 2100 Ventures

Case Study→

We are embedding Specter into all our workstreams, and it is showing significant promise as part of our strategy to find the next company we will back.

Ozge Sevim

Investor at 212 Ventures

Case Study→

Abhijay Thacker

VP at Picus Capital

Case Study→

Timothy Chen

Partner at Essence VC

Case Study→

Pietro Invernizzi

Founder of firedrop

Case Study→

Specter's performance-based signals draw us towards the right startups at the right time, so we're prepared as we can be to make the right decision.

Danny Chepenko

Corporate VC at inDrive

Case Study→

We've invested in a founder with roots at Stanford and Wharton. They were a rising star in their industry with a strong technical background. We found them as a Stealth signal through Specter.

Iynna Halilou

Partner at The MBA Fund

Case Study→

Tools like Specter surface early talent signals, company foundations, team moves, and nascent traction, beyond what internal scouts can manually track. We see companies we wouldn't see otherwise.

Ben Urwin

Data at Giant Ventures

Specter has been a useful addition to our sourcing stack - it's surfaced interesting companies we might have otherwise missed and helps keep our pipeline fresh.

Dominique Yadegar

VP at Bonfire Ventures

Case Study→

Aarushi Sharma

Investor at BEENEXT

Your programmatic edgeProgrammatic edge to private markets.

Endpoints and enrichment

73 REST endpoints behind one API key.

Use cases

Four jobs the API is used for.

Enrichment

Search

Signals

Workflow automation

What teams build first on the API

How lookups are keyed

Data and delivery

Everything on the Specter platform is available through the API.

Where API data lands

How often feeds are pulled

Market signals via API

Search everything in plain English

Build searches programmatically

Revenue and valuation on demand

Query your team's network

Misses never cost a credit

Bigger pages and fewer round-trips

Built to be read by your agents

Comparison

How the Specter API compares.

Getting started

Get a key and start building.

Request an API key

Test in the console

Integrate and build

Ready to build?

Build on the best API for private markets.

Your programmatic edgeProgrammatic edge
to private markets.