# Autobound — Full Documentation

> B2B signal data infrastructure. 700+ signal types from 35+ sources across 270M+ contacts and 50M+ companies, delivered via REST API, MCP, GCS push, or flat file.

---

## Company Overview

Autobound is a B2B signal intelligence company. We detect real-time buying signals across the entire business landscape — SEC filings, earnings calls, job postings, LinkedIn activity, Reddit discussions, Glassdoor reviews, funding rounds, tech stack changes, web traffic shifts, patent filings, and hundreds more — then deliver structured, enriched signal data to platforms, sales teams, and AI agents.

Our customers include major data platforms (ZoomInfo, 6sense, RocketReach, Informa TechTarget), sales automation tools (Clay, Instantly), and enterprise GTM teams that embed signal intelligence directly into their workflows.

**Founded:** 2021  
**Headquarters:** San Francisco, CA  
**Security:** SOC 2 Type II compliant  
**Database:** 270M+ contacts, 50M+ companies  
**Signals:** 700+ types from 35+ sources  

---

## Signal Categories

Autobound organizes signals into five primary categories, each containing dozens of specific signal types.

### Financial Signals
Real-time detection of financial events that indicate business change, growth, or strategic shifts.

| Signal Type | Description |
|-------------|-------------|
| SEC 10-K Filings | Annual reports with strategic priorities, risk factors, spending plans |
| SEC 10-Q Filings | Quarterly financial updates |
| SEC 8-K Filings | Material events (leadership changes, acquisitions, restructuring) |
| S-1 Filings | IPO filings indicating rapid growth phase |
| Earnings Calls | Transcript analysis for strategic priorities and pain points |
| Funding Rounds | Seed through Series F+, growth equity, debt rounds |
| M&A Activity | Acquisitions, mergers, divestitures |
| Revenue Changes | Quarter-over-quarter and year-over-year shifts |
| Debt Issuance | New credit facilities, bond offerings |
| Executive Compensation | Stock grants, bonus structures indicating priorities |
| Bankruptcy/Restructuring | Chapter 11 filings, restructuring announcements |

### Workforce Signals
People-movement signals that indicate organizational change, growth, or contraction.

| Signal Type | Description |
|-------------|-------------|
| Hiring Surges | Abnormal increase in open roles by department |
| Job Changes | Individual role changes (promotions, new hires, departures) |
| Layoffs | Workforce reductions, RIF announcements |
| Executive Departures | C-suite and VP-level exits |
| Team Growth | Department-level headcount expansion |
| Team Contraction | Department-level headcount reduction |
| New Role Creation | First-time roles indicating new initiatives |
| Open Headcount | Active job postings by function, level, location |
| Leadership Appointments | New C-suite and VP hires |
| Office Openings/Closings | Geographic expansion or consolidation |

### Market Signals
Competitive, product, and market-position signals.

| Signal Type | Description |
|-------------|-------------|
| Tech Stack Adoption | New technology implementations detected |
| Tech Stack Removal | Technologies being deprecated or replaced |
| Web Traffic Changes | Significant shifts in site traffic volume |
| G2 Reviews | New reviews, rating changes, category rankings |
| Capterra Reviews | Review activity and sentiment |
| Patent Filings | New patent applications and grants |
| Product Launches | New product or feature announcements |
| Partnerships | Strategic alliance announcements |
| Awards/Recognition | Industry awards, analyst recognition |
| Competitive Wins/Losses | Market share movements |
| Pricing Changes | Public pricing updates |

### Social Signals
Public social activity from key stakeholders and company accounts.

| Signal Type | Description |
|-------------|-------------|
| LinkedIn Posts | Company and individual content publication |
| LinkedIn Engagement | Comments, shares, reactions on relevant content |
| Reddit Discussions | Company mentions, employee posts, industry threads |
| Glassdoor Reviews | Employee sentiment, culture signals, leadership ratings |
| YouTube Content | Company channel activity, webinars, product demos |
| X (Twitter) Activity | Company and executive posts, engagement |
| Podcast Appearances | Executive interviews, thought leadership |
| Conference Presentations | Speaking engagements, panel participation |
| GitHub Activity | Open-source contributions, repository changes |
| Medium/Blog Posts | Thought leadership content |

### Intent Signals
Behavioral signals indicating active research, evaluation, or purchase intent.

| Signal Type | Description |
|-------------|-------------|
| Company-Level Intent | Aggregated research behavior by account |
| Contact-Level Intent | Individual-level research and content consumption |
| Topic Intent | 43,000+ topics tracked for surge detection |
| Vendor Evaluation | Active comparison shopping behavior |
| Content Consumption | Whitepaper downloads, webinar attendance |
| Search Behavior | Keyword-level research patterns |
| Review Site Activity | Active vendor comparison on G2, Capterra, TrustRadius |
| RFP/RFI Activity | Formal procurement process signals |

---

## Delivery Methods

### REST API
Sub-200ms response times for real-time signal queries and contact/company enrichment. Query by company domain, contact email, LinkedIn URL, or signal type. Supports filtering, pagination, and bulk lookups.

- **Base URL:** https://signalapi.autobound.ai
- **Auth:** API key (Bearer token)
- **Rate limits:** Tier-dependent (up to 1,000 req/sec on Enterprise)
- **Response format:** JSON
- **Documentation:** https://autobound-api.readme.io

### MCP Server (Model Context Protocol)
Native integration with AI agents and coding assistants. Connect Claude, Cursor, Windsurf, or any MCP-compatible tool directly to Autobound's signal database.

- Install via npm or configure as remote MCP server
- Full signal query, enrichment, and filtering capabilities
- Designed for AI-native workflows

**URL:** https://www.autobound.ai/integrations/mcp

### GCS/S3 Push (Batch Delivery)
Automated delivery of signal data to your cloud storage on a scheduled cadence.

- Daily or weekly delivery
- Google Cloud Storage or Amazon S3
- Configurable filters (signal types, industries, company size)
- Parquet, JSONL, or CSV format

### Flat File Export
On-demand or scheduled exports in standard data formats.

- **Parquet** — Columnar format optimized for analytics
- **JSONL** — Line-delimited JSON for streaming pipelines
- **CSV** — Universal compatibility

### OEM Licensing
White-label Autobound's signal data within your own platform. Used by ZoomInfo, 6sense, RocketReach, Informa TechTarget, Clay, Instantly, and others.

- Custom data feeds
- Co-branded or fully white-labeled
- Volume-based pricing
- Dedicated support and SLAs

---

## Pricing

All plans include API access, signal queries, and standard support.

| Plan | Price | Credits/mo | Best For |
|------|-------|-----------|----------|
| Starter | $19/mo | 2,000 | Individual users, testing |
| Growth | $49/mo | 5,444 | Small teams, early-stage |
| Scale | $149/mo | — | Growing teams |
| Pro | $499/mo | — | Mid-market teams |
| Enterprise | $1,299/mo | 288,667 | Large teams, heavy usage |
| OEM/Custom | Contact us | Custom | Platform partners, resellers |

**Credit system:** 1 credit = 1 signal lookup or enrichment call. Bulk operations consume credits proportionally. Unused credits do not roll over.

**Self-serve signup:** https://signalapi.autobound.ai/signup

**Pricing page:** https://www.autobound.ai/pricing

---

## API Reference

### Authentication
All API requests require a Bearer token in the Authorization header:
```
Authorization: Bearer YOUR_API_KEY
```

### Core Endpoints

#### Signal Queries
- `GET /v1/signals` — Query signals by company, contact, type, or date range
- `GET /v1/signals/{id}` — Get a specific signal by ID
- `GET /v1/signals/types` — List all available signal types

#### Contact Enrichment
- `GET /v1/contacts/enrich` — Enrich a contact with signals and metadata
- `POST /v1/contacts/bulk-enrich` — Bulk contact enrichment (up to 100 per request)

#### Company Enrichment
- `GET /v1/companies/enrich` — Enrich a company with signals and metadata
- `POST /v1/companies/bulk-enrich` — Bulk company enrichment (up to 100 per request)

#### Buyer Intent
- `GET /v1/buyer-intent/contacts` — Contact-level intent signals
- `GET /v1/buyer-intent/topics` — Available intent topics (43,000+)
- `GET /v1/buyer-intent/filters` — Filter options for intent queries
- `POST /v1/buyer-intent/export` — Export intent data in bulk

#### Signal Database
- `GET /v1/signal-types` — Full catalog of 700+ signal types with metadata
- `GET /v1/sources` — List of 35+ data sources

### Response Format
All responses are JSON with consistent structure:
```json
{
  "data": [...],
  "meta": {
    "total": 1250,
    "page": 1,
    "per_page": 50,
    "has_more": true
  }
}
```

### Full API Documentation
https://autobound-api.readme.io

---

## Use Cases

### For Data Platforms (OEM)
Embed Autobound's signal intelligence into your existing platform. ZoomInfo, 6sense, RocketReach, Informa TechTarget, Clay, and Instantly all use Autobound signals to enrich their products.

**How it works:**
1. License signal categories relevant to your product
2. Receive data via API, cloud push, or flat file
3. White-label signals within your platform UX
4. Your customers see signals as native to your product

### For Sales Teams
Identify which accounts are showing buying signals right now and understand exactly why they're in-market.

**How it works:**
1. Connect via API or MCP server
2. Monitor your target account list for signal activity
3. Receive alerts when key signals fire (funding, hiring surge, tech adoption)
4. Use signal context to personalize outreach

### For AI Agents
Give your AI agent real-time access to B2B signal data. Use the MCP server to connect Autobound to Claude, Cursor, or any MCP-compatible agent.

**How it works:**
1. Install Autobound MCP server
2. Agent queries signals in natural language
3. Agent uses signal context for research, outreach, or analysis
4. Works with any MCP-compatible AI tool

### For RevOps & Data Teams
Build signal-driven workflows, scoring models, and automations using structured signal data.

**How it works:**
1. Ingest signals via REST API or GCS push
2. Build custom scoring based on signal combinations
3. Route accounts to reps based on signal triggers
4. Track signal-to-pipeline attribution

---

## Competitive Positioning

### Autobound vs. ZoomInfo
**ZoomInfo** sells static contact and firmographic data — who someone is, where they work, their email and phone. Data decays 15-20% annually.

**Autobound** sells real-time signals — what is happening at a company right now. A hiring surge in engineering, an SEC filing mentioning "cost optimization," a new CTO appointment. Signals are detected in real-time, not scraped quarterly.

**Key difference:** ZoomInfo answers "who is this person?" Autobound answers "why should you contact them today?"

### Autobound vs. Bombora / 6sense
**Bombora and 6sense** sell intent data based on content consumption — topic surges derived from B2B media network tracking.

**Autobound** delivers intent data PLUS 34 other signal categories. Financial signals (SEC filings, funding), workforce signals (hiring, layoffs), market signals (tech adoption, patents), and social signals (LinkedIn, Reddit, Glassdoor). Intent is one input; Autobound provides the full picture.

**Key difference:** Intent tells you someone is researching. Autobound tells you WHY they're researching (the CFO just left, they raised $50M, they posted on Reddit about evaluating vendors).

### Autobound vs. Apollo
**Apollo** sells a contact database with email sequencing — a workflow tool for sending emails at scale.

**Autobound** is the signal data layer that powers platforms like Apollo. We don't send emails; we provide the intelligence that makes outreach relevant.

**Key difference:** Apollo is a delivery mechanism. Autobound is the intelligence layer.

### Autobound vs. Clearbit (now HubSpot)
**Clearbit** provides static enrichment — company size, industry, technologies used, employee count. Point-in-time snapshots.

**Autobound** detects dynamic signals — real-time events indicating change. A company that Clearbit says "uses Salesforce" might be showing signals of switching to HubSpot (job postings for HubSpot admins, HubSpot tech detected, Salesforce removal detected).

**Key difference:** Clearbit tells you what WAS true. Autobound tells you what is CHANGING.

---

## Guides & Resources

### Getting Started
- Quick Start Guide: https://www.autobound.ai/guides
- API Documentation: https://autobound-api.readme.io
- Self-Serve Signup: https://signalapi.autobound.ai/signup

### Developer Resources
- Developer Hub: https://www.autobound.ai/developers
- MCP Server Setup: https://www.autobound.ai/integrations/mcp
- Signal Schema Reference: https://autobound-api.readme.io/docs/schema

### Signal Database
- Browse all 700+ signal types: https://www.autobound.ai/signal-data
- Signal categories and sources: https://www.autobound.ai/signal-api

---

## Key URLs

| Resource | URL |
|----------|-----|
| Homepage | https://www.autobound.ai |
| Signal Database | https://www.autobound.ai/signal-data |
| Signal API | https://www.autobound.ai/signal-api |
| Developer Hub | https://www.autobound.ai/developers |
| MCP Integration | https://www.autobound.ai/integrations/mcp |
| Pricing | https://www.autobound.ai/pricing |
| Guides | https://www.autobound.ai/guides |
| API Docs | https://autobound-api.readme.io |
| Signup | https://signalapi.autobound.ai/signup |

---

## Contact

- **Website:** https://www.autobound.ai
- **API Docs:** https://autobound-api.readme.io
- **Support:** support@autobound.ai
- **Sales:** https://www.autobound.ai (request demo)