What is the CADRE API?

CADRE is a hiring intelligence API that connects investors, companies, and real-time hiring signals across the VC-backed ecosystem. It lets you query which companies a specific investor backs, what roles those companies have open, how fast they're hiring, and what funding they've raised — all in a single API call.

What data does CADRE provide?

CADRE provides five types of connected data: company profiles (industry, stage, headcount, ATS, funding history), job postings (title, department, location, seniority, posting date), investor data (portfolio companies, lead/follow designation), funding rounds (type, amount, date, investors), and hiring signals (surges, new departments, velocity changes).

Who uses the CADRE API?

CADRE is used by AI recruiting agents, AI SDR and sales tools, research and due diligence platforms, and data enrichment services. Any product that needs structured company intelligence with investor and hiring context — not just static firmographics — is a fit.

How is CADRE different from Crunchbase or LinkedIn?

CADRE connects the data that other platforms keep separate. Crunchbase has funding data but no live job postings. LinkedIn has jobs but no investor relationships. Job boards have listings but no funding context. CADRE joins investor portfolios to company profiles to real-time hiring activity in one structured API — so you can query 'Sequoia-backed Series B companies hiring ML engineers right now' in a single call.

What ATS integrations does CADRE support?

CADRE pulls job postings directly from Greenhouse, Lever, and Ashby APIs, plus career page scraping for companies not on a standard ATS. Data is refreshed continuously.

Introduction

CADRE connects three things that are usually siloed: who's investing, who they're investing in, and what those companies are actually doing — measured by who they're hiring.

It's a single API. You send a query like "Sequoia-backed Series B companies hiring ML engineers" and get back structured data joining the investor, the company profile, funding history, and live job postings. One call instead of stitching together Crunchbase, LinkedIn, and a job board.

What's in the graph

Companies — profile, industry, stage, headcount, HQ, ATS provider, careers page, funding history, investor relationships.

Jobs — title, department, location, remote policy, seniority, posting date, source URL. Pulled directly from Greenhouse, Lever, and Ashby APIs plus career page scraping.

Investors — portfolio companies, fund relationships, lead vs. follow designation.

Signals — hiring surges, new department openings, role removals, velocity changes. What changed this week, not just what exists.

Funding — round type, amount, date, lead investor, all participants.

Who uses this

AI recruiting agents need company context, not just job listings. CADRE gives your agent the difference between "Senior Engineer, San Francisco" and "Senior Engineer at a Sequoia-backed Series B that tripled engineering headcount after closing a $30M round."

AI SDR & sales tools treat funding events and hiring surges as buying signals. CADRE delivers both, structured and ready for agent consumption. No scraping, no parsing press releases.

Research & due diligence platforms can pull portfolio-level hiring data across entire funds. What's the aggregate hiring velocity across Benchmark's portfolio? Which sectors are ramping headcount?

Enrichment platforms & agent toolchains get the investor→company→jobs join in a single call. Plug it into Clay, a waterfall, or any agent that needs company intelligence beyond basic firmographics.

Getting Started →

Getting Started

Base URL

https://api.cadre.careers/v1

Authentication

Pass your API key as a Bearer token in the Authorization header.

curl -H "Authorization: Bearer cadre_sk_xxx" \
  "https://api.cadre.careers/v1/companies?industry=ai-infrastructure"

Response format

Every list endpoint returns JSON with a count and a data array.

{
  "count": 47,
  "data": [ ... ]
}

Rate limits

Limits are per API key. Usage is returned in every response header.

X-RateLimit-Limit: 1000
X-RateLimit-Remaining: 847
X-RateLimit-Reset: 2026-02-16T00:00:00Z

Errors

Status	Meaning
401	Bad or missing API key
404	Resource doesn't exist
429	Rate limit hit
500	Something broke on our end

Companies →

Companies

GET /v1/companies

Search and filter companies. Every result includes investor relationships, open roles, and hiring velocity.

Parameter	Description
industry	ai-infrastructure, ai-applications, fintech, cybersecurity, healthtech, defense, devtools, data-analytics, climate, logistics, edtech, biotech, hardware, etc.
stage	seed, series-a, series-b, series-c, series-d, late-stage
investor	Investor name or ID
hq	City, state, or country
size	1-10, 11-50, 51-200, 201-1000, 1000+
funded_within	30d, 90d, 180d, 365d
has_open_roles	true / false
min_open_roles	Minimum active postings
department	engineering, product, design, sales, marketing, operations, data
domain	Company domain for direct lookup

# sequoia-backed series b companies hiring engineers
curl -H "Authorization: Bearer cadre_sk_xxx" \
  "https://api.cadre.careers/v1/companies?investor=sequoia-capital&stage=series-b&department=engineering&has_open_roles=true"

{
  "count": 12,
  "data": [
    {
      "id": "comp_abc123",
      "name": "Acme AI",
      "domain": "acme.ai",
      "industry": "ai-infrastructure",
      "stage": "series-b",
      "total_raised": 45000000,
      "last_round_date": "2025-11-15",
      "size": "51-200",
      "hq": "San Francisco, CA",
      "open_roles": 23,
      "roles_by_dept": { "engineering": 14, "product": 3, "sales": 4 },
      "hiring_velocity": 2.3,
      "investors": [
        { "name": "Sequoia Capital", "lead": true },
        { "name": "Founders Fund", "lead": false }
      ],
      "ats": "greenhouse"
    }
  ]
}

GET /v1/companies/{id}

Everything about one company — profile, every funding round, full investor list, and all current open roles.

{
  "id": "comp_abc123",
  "name": "Acme AI",
  "description": "Foundation models for robotics.",
  "domain": "acme.ai",
  "industry": "ai-infrastructure",
  "stage": "series-b",
  "founded_year": 2022,
  "size": "51-200",
  "hq": "San Francisco, CA",
  "total_raised": 45000000,
  "funding_rounds": [
    {
      "type": "series-b",
      "amount": 30000000,
      "date": "2025-11-15",
      "lead": "Sequoia Capital"
    }
  ],
  "investors": [
    { "name": "Sequoia Capital", "lead": true },
    { "name": "Founders Fund", "lead": true },
    { "name": "Y Combinator", "lead": false }
  ],
  "open_roles": 23,
  "roles_by_dept": {
    "engineering": 14,
    "product": 3,
    "sales": 4,
    "operations": 2
  },
  "hiring_velocity": 2.3,
  "ats": "greenhouse",
  "careers_url": "https://boards.greenhouse.io/acmeai",
  "jobs": [
    {
      "id": "job_001",
      "title": "Senior ML Engineer",
      "department": "engineering",
      "location": "San Francisco, CA",
      "posted": "2026-02-01",
      "url": "https://boards.greenhouse.io/acmeai/jobs/12345"
    }
  ]
}

Jobs →

Jobs

GET /v1/jobs

Search open roles across the graph. Every job comes back with its company context — who the investors are, what stage they're at, how fast they're hiring.

Parameter	Description
title	Keyword match on job title
department	engineering, product, design, sales, marketing, operations, data
location	City, state, or "remote"
industry	Filter by parent company industry
stage	Filter by parent company stage
investor	Filter by parent company investor
posted_within	7d, 14d, 30d

# ml roles at a16z portfolio companies, last 14 days
curl -H "Authorization: Bearer cadre_sk_xxx" \
  "https://api.cadre.careers/v1/jobs?title=ml+engineer&investor=a16z&posted_within=14d"

{
  "count": 31,
  "data": [
    {
      "id": "job_001",
      "title": "Senior ML Engineer",
      "department": "engineering",
      "location": "San Francisco, CA",
      "posted": "2026-02-01",
      "url": "https://boards.greenhouse.io/acmeai/jobs/12345",
      "company": {
        "id": "comp_abc123",
        "name": "Acme AI",
        "stage": "series-b",
        "total_raised": 45000000,
        "investors": ["Sequoia Capital", "Founders Fund"],
        "hiring_velocity": 2.3
      }
    }
  ]
}

Investors →

Investors

GET /v1/investors

Browse the investor graph. See which funds have actively hiring portfolio companies, aggregate open roles, and the companies ramping fastest.

Parameter	Description
name	Investor name (partial match)
has_active_hiring	Only return investors with portfolio companies currently hiring

# sequoia portfolio — companies and hiring activity
curl -H "Authorization: Bearer cadre_sk_xxx" \
  "https://api.cadre.careers/v1/investors?name=sequoia"

{
  "data": [
    {
      "id": "inv_001",
      "name": "Sequoia Capital",
      "portfolio_count": 34,
      "actively_hiring": 28,
      "total_open_roles": 412,
      "top_hiring": [
        { "name": "Acme AI", "open_roles": 23, "velocity": 2.3 },
        { "name": "Nexus Labs", "open_roles": 18, "velocity": 1.8 }
      ]
    }
  ]
}

Funding →

Funding

GET /v1/funding

Recent funding rounds with hiring activity attached. A company that just raised and is on a hiring surge is the strongest signal there is — this endpoint gives you both in one response.

Parameter	Description
industry	Same values as /companies
round_type	seed, series-a, series-b, series-c, series-d
recency	30d, 90d, 180d
lead_investor	Investor name or ID

# ai companies that raised in the last 90 days
curl -H "Authorization: Bearer cadre_sk_xxx" \
  "https://api.cadre.careers/v1/funding?industry=ai-infrastructure&recency=90d"

{
  "count": 23,
  "data": [
    {
      "company_id": "comp_ghi789",
      "company_name": "Nexus Labs",
      "round_type": "series-a",
      "amount": 18000000,
      "date": "2026-01-22",
      "lead_investor": "Benchmark",
      "investors": ["Benchmark", "Y Combinator", "SV Angel"],
      "open_roles": 18,
      "hiring_velocity": 3.1
    }
  ]
}

Signals →

Signals

GET /v1/signals

What changed recently. Hiring surges, new departments, roles disappearing. This is the temporal layer — it tells you what's happening, not just what exists.

Parameter	Description
type	hiring-surge, new-department, first-hire, role-removed
industry	Same values as /companies
investor	Filter by company investor
recency	7d, 14d, 30d

# hiring surges in the last 7 days
curl -H "Authorization: Bearer cadre_sk_xxx" \
  "https://api.cadre.careers/v1/signals?type=hiring-surge&recency=7d"

{
  "count": 8,
  "data": [
    {
      "company_id": "comp_abc123",
      "company_name": "Acme AI",
      "type": "hiring-surge",
      "detail": "Engineering roles: 6 → 14 in 7 days",
      "stage": "series-b",
      "last_round_date": "2025-11-15",
      "investors": ["Sequoia Capital", "Founders Fund"],
      "detected_at": "2026-02-14T08:00:00Z"
    }
  ]
}

Example Queries →

Example Queries

These are real queries the API was built around. Each one maps to something a specific type of buyer actually needs.

Recruiting agents

"sequoia-backed series b companies hiring ML engineers right now"

/v1/companies?investor=sequoia-capital&stage=series-b&department=engineering&has_open_roles=true

"all remote engineering roles at recently funded companies"

/v1/jobs?department=engineering&location=remote&posted_within=30d

SDR & sales agents

"companies that just raised and are on a hiring surge — best outbound targets"

/v1/signals?type=hiring-surge&recency=14d

"fintech companies that closed series b+ in the last 6 months"

/v1/funding?industry=fintech&round_type=series-b,series-c&recency=180d

Research & due diligence

"full a16z portfolio — headcount, roles, velocity by department"

/v1/investors?name=a16z

"ai infrastructure companies ranked by hiring velocity"

/v1/companies?industry=ai-infrastructure&has_open_roles=true&sort=hiring_velocity:desc

Enrichment & platforms

"enrich a domain with investors, stage, funding, and live hiring data"

/v1/companies?domain=acme.ai

Request Access →

Request Access

Early access. Tell us what you're building and we'll get you a key.

matt@cadre.careers