Autobound
OpenAI Compatible

Signal data asOpenAI function calls

Build AI agents that can search signals, enrich companies, and monitor accounts using Autobound's REST API with OpenAI function calling.

Get API Key→API Reference
openai_function_calling.py
import openai

# Define Autobound signal search as a tool
tools = [{
    "type": "function",
    "function": {
        "name": "search_signals",
        "description": "Search Autobound for B2B signals",
        "parameters": {
            "type": "object",
            "properties": {
                "query": {"type": "string", "description": "Natural language query"},
                "signal_types": {"type": "array", "items": {"type": "string"}},
                "limit": {"type": "integer", "default": 10}
            },
            "required": ["query"]
        }
    }
}]

# Let GPT decide when to call Autobound
response = openai.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Find companies investing in AI"}],
    tools=tools
)

Use Cases

What you can build

Combine OpenAI's reasoning with Autobound's signal data to create intelligent B2B workflows.

AI SDR Agents

Build autonomous SDRs that research prospects using real signal data before every outreach.

Research Assistants

Create assistants that answer questions about any company's recent activity, hiring trends, and financial signals.

Automated Enrichment

Pipe signal data into your CRM via AI-powered workflows that enrich records on autopilot.

Custom GPTs

Build ChatGPT plugins powered by real-time B2B signals. Give any GPT access to company intelligence.

Available Functions

Define these as OpenAI tools

Each Autobound API endpoint maps cleanly to an OpenAI function definition. Here are the most popular.

POST

search_signals()

/v1/signals/search

Semantic search across 644 signal types. Accepts natural language queries, structured filters, and pagination.

POST

enrich_company()

/v1/companies/enrich

Pass a domain or company name. Returns financial filings, hiring trends, news, tech stack, and more.

POST

enrich_contact()

/v1/contacts/enrich

Returns contact-level signals (job changes, posts, milestones) plus their employer's company signals.

GET

get_company_timeline()

/v1/companies/{domain}/timeline

Chronological feed of all recent signals for a company. Filter by date range and signal type.

GET

get_trending_signals()

/v1/signals/trending

Discover the most active signals across your target market. Great for prospecting workflows.

Full API reference →

How it works

Three steps to AI-powered signals

No SDK required. Just your OpenAI client and an Autobound API key.

01

Get your API key

Sign up at the Autobound developer portal. Your key is ready instantly — no approval queue.

02

Define your functions

Map Autobound endpoints to OpenAI tool definitions. Search, enrich, timeline — each one becomes a callable function.

03

Call OpenAI

Pass your tools to chat.completions.create(). GPT decides when to call Autobound, and you execute the API call.

Start building with signal data

Get your API key, define your functions, and let OpenAI call Autobound when your agents need real-time B2B intelligence.

Get API Key→API Reference