Autobound

Autobound provides a signal layer for go-to-market teams, data platforms, agencies, and developers. Its Signal Database covers 35 feeds (financial filings, social, workforce, market, and intent sources) that land in one schema with 700+ signal types. Signals can be accessed through a real-time REST API, batch file delivery to Google Cloud Storage in JSONL, Parquet, or CSV, OEM licensing for embedding in a partner's product under its own brand, or an MCP server for use with ChatGPT and Claude. The page states that coverage is measured weekly and published in a coverage report, and that Signal Database, REST API, and MCP run on one account and credit balance. It also lists SOC 2 Type II audit in progress and offers scoped data tests and sample downloads for data teams.

Key features

• Signal Database with 35 feeds and 700+ signal types in one schema
• REST API for real-time search, enrich, and subscribe
• Scheduled file delivery to GCS in JSONL, Parquet, or CSV
• OEM licensing with white-label embedding and custom SLAs
• MCP server for ChatGPT and Claude, with OAuth sign-in
• Coverage report with audited volumes per feed
• Sample downloads per signal type and scoped data tests
• Sources labeled first-hand or partner-sourced per signal type
• Signals include news events, hiring trends, job changes, LinkedIn posts, website changes, Form D funding, and SEC 8-K filings
• Intent signals powered by behavioral data across 43,000+ topics

Best suited for

• GTM and RevOps teams scoring, routing, and triggering outreach
• Data teams licensing signal feeds into a warehouse
• Data platforms and software products embedding signals
• Agencies delivering one feed across multiple clients
• Developers and AI builders using LLM tools and workflows

Pricing

Not stated on the website