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Build with signal data

RESTful API. Sub-200ms responses. 28 signal sources across 250M+ contacts and 50M+ companies. Enterprise-grade signal intelligence.

Contact Sales Full API Reference

First API call in 5 minutes

Three steps from zero to signal data in your application.

Get API access

Contact our team to discuss your use case. We will provision your API credentials and get you started.

Make your first call

Search for signals across any company or contact. Filter by signal type, date range, or industry.

curl -X POST https://signals.autobound.ai/v1/signals/search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "companies hiring data engineers", "limit": 5}'

Enrich a contact

Get all signals associated with a specific person — job changes, company news, social activity, and more.

curl -X POST https://signals.autobound.ai/v1/contacts/enrich \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"email": "jane@example.com"}'

Key endpoints

Everything you need to search, enrich, and score B2B signals.

POST

/v1/signals/search

Search signals by keyword, company, or contact across all 28 signal sources

POST

/v1/contacts/enrich

Get all signals for a specific contact by email or LinkedIn URL

POST

/v1/companies/enrich

Get company-level signals by domain, name, or company ID

POST

/v1/generate-insights

AI-ranked signal insights for a contact — ready-to-use intelligence

GET

/v1/signals/types

List all available signal types with metadata and coverage stats

POST

/v1/intent/score

Score a company or contact's buying intent based on signal activity

View all 28 endpoints→

Code examples

Drop signal data into your stack in minutes.

Python

import requests

API_KEY = "your_api_key"
BASE_URL = "https://signals.autobound.ai/v1"

# Search for hiring signals at companies in SaaS
response = requests.post(
    f"{BASE_URL}/signals/search",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "query": "hiring data engineers",
        "signal_types": ["hiring_surge", "job_posting"],
        "industries": ["saas"],
        "limit": 10
    }
)

signals = response.json()["results"]
for signal in signals:
    print(f"{signal['company_name']}: {signal['title']}")

Node.js

const API_KEY = "your_api_key";
const BASE_URL = "https://signals.autobound.ai/v1";

// Enrich a contact with all available signals
const response = await fetch(`${BASE_URL}/contacts/enrich`, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${API_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    email: "jane@example.com"
  })
});

const { contact, signals } = await response.json();
console.log(`Found ${signals.length} signals for ${contact.name}`);

cURL

# Get intent score for a company
curl -X POST https://signals.autobound.ai/v1/intent/score \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "domain": "example.com",
    "signal_types": ["hiring_surge", "funding", "leadership_change"],
    "lookback_days": 90
  }'