Autobound

Overview

Autobound is a B2B signal intelligence platform that provides the real-time data layer for enterprise go-to-market (GTM), AI-native tools, and data platforms. The Autobound Signal API exposes 700+ signal types aggregated from 35+ distinct sources, spanning more than 250 million contacts and 50 million companies. Unlike static firmographic or legacy intent datasets, Autobound delivers structured, event-level intelligence through a REST API, Google Cloud Storage (GCS) push, or fully white-label OEM licensing. It is positioned as the signal layer for tech stack shifts, enabling teams to detect buying triggers as they happen and act on them programmatically.

Signal coverage includes 35 signal types such as CapEx investments, funding rounds, IPOs, acquisitions, product launches, new customer wins, executive hires, partnerships, earnings reports, and valuation changes. Each signal is extracted, verified, deduplicated, and fully timestamped, with refresh cycles ranging from daily to weekly. Autobound also provides coverage and segmentation reports with measured geography, join keys, and data freshness, so enterprises can audit fill rates and volume by signal type. The live signal feed surfaces examples of detected events from the last 24 hours, illustrating the breadth and immediacy of the dataset.

Engineered for AI and automation, Autobound integrates directly with the Model Context Protocol (MCP), supporting clients such as Claude, Cursor, and any MCP-compatible agent. It also supports Claude Code and OpenAI function calling, allowing large language models to query and act upon signal data in native tool-call workflows. For platform providers, Autobound offers white-label embedding and OEM licensing to embed signal intelligence directly into their products. This structured layer helps AI SDR platforms, revenue operations teams, and product teams build automated, signal-timed outreach sequences; the company reports that signal-timed sends achieve 15–25% reply rates, compared with generic outreach.

Autobound is designed to replace fragmented data stacks and eliminate manual research by surfacing the right trigger in milliseconds. It transforms intent data from a black box into transparent, sourced events that specify what happened, when, and to whom. With customizable signal selection, each GTM motion can choose the exact event types that matter. The data is refreshed continuously and stale records are removed, ensuring LLM tools and downstream systems operate on clean, current information. Use cases span AI SDR platforms, data consolidation, product intelligence, provider comparison, and sales engineering — making Autobound a central data infrastructure for modern go-to-market teams.

Core capabilities

Signal Database

700+ signal types from 35+ sources covering 250M+ contacts and 50M+ companies.

REST API

Endpoints for search, enrichment, intent detection, and email verification.

Live Signal Feed

Daily refreshed stream of verified, deduplicated events detected in the last 24 hours.

Coverage & Segmentation

Audited fill rates and volumes per signal type with measured geography, join keys, and freshness.

MCP Server Integration

Model Context Protocol server compatible with Claude, Cursor, and any MCP client.

AI Agent Workflows

OpenAI function calling and Claude Code support for LLM-driven signal execution.

OEM / White-Label Licensing

License or embed signal data directly into your product or platform.

GCS Push Delivery

Distribute signal data via Google Cloud Storage for batch and real-time consumption.

Signal-Timed Outreach

Enables trigger-based automated sequences with reported 15–25% reply rates.

Use cases

AI-powered outreach with signal-timed, trigger-based messaging

Data consolidation to replace 3–5 fragmented B2B data vendors

Product intelligence and competitive monitoring

Intent data enrichment for lead scoring, routing, and prioritization

Building AI agents that act on structured business events

White-label signal data for OEM and embedded product experiences

Real-time account-based marketing (ABM) alerting and orchestration