Company and people discovery
Search for companies and people using filters or natural-language intent that is translated into structured queries.
Overview
Fiber AI is an agent-native B2B data platform for sales, recruiting, and GTM operations. It combines company and people search, enrichment, and audience building in one workflow so teams can discover prospects or candidates and move them into usable lists or integrations.
The platform is designed for both humans and coding agents. Users can work through the API, MCP, or the Fiber AI plugin, while agent-oriented documentation and per-page workflow docs support repeated tasks such as outbound prospecting, recruiting, and internal data enrichment.
Core capabilities
Profile enrichment
Reveal work emails, phone numbers, live LinkedIn snapshots, and full profile payloads without hand-picking field groups.
Bulk audience workflows
Build server-side audiences with explicit build, estimate, enrich, and export steps for repeatable workflows.
API and MCP access
Use the same API and MCP surface for human operators and coding agents, with documentation designed for agent consumption.
Plugin for coding agents
Operate through a first-party plugin that includes skills and personas for SDR, recruiting, GTM strategy, and vendor comparison workflows.
Common use cases
Sales prospecting
Build outbound prospect lists by finding companies and people, then enriching the resulting profiles with work contact details and LinkedIn context.
Recruiting and staffing
Source candidates at scale for recruiting or staffing workflows, using search plus enrichment to assemble shortlists.
Product integrations
Embed B2B data into signup flows, job boards, or internal tools through the API rather than manual data entry.
RevOps workflows
Run repeatable audience workflows with estimate-before-spend controls, especially when list creation and exports need to be audited.
Agent-assisted operations
Use MCP and the plugin to let coding agents execute SDR, recruiting, and GTM-oriented tasks with shared routing and docs.
Pros and Cons
Pros
- Combines search, enrichment, and bulk export in one platform.
- Supports both human users and coding agents through API, MCP, and a plugin.
- Includes explicit build, estimate, enrich, and export steps for audience workflows.
- Surfaces per-call cost metadata so agents can estimate spend before charging.
- Provides agent-focused documentation, including llms.txt and per-page workflow docs.
Cons
- The homepage does not publish pricing, plan limits, or trial details.
- The source highlights several documentation paths, but it does not show the complete API surface in the homepage text.
FAQ
What is Fiber AI?
Fiber AI is a B2B data platform built for both humans and coding agents. It supports prospecting, recruiting shortlists, and product integrations through the same API and MCP surface.
How do coding agents integrate with Fiber AI?
The site points users to a first-party Fiber AI plugin on GitHub, the site’s `/llms.txt`, and the API’s machine-readable docs and routing rules for agent integration.
Where is the API reference?
Interactive API documentation is available at `api.fiber.ai/docs`, and machine-readable docs are available at `api.fiber.ai/ai-docs/index.md`.
What pages are available on the site for different workflows?
The homepage highlights per-page agent docs for Sales / SDR, Recruiting, Google Maps SMB data, About Fiber AI, and a site map.
Quick Facts
- Category
- B2B data platform
- Primary users
- Sales teams, recruiting teams, RevOps, developers, and automation platforms
- Access methods
- API, MCP, and a Fiber AI plugin
- Website domain
- fiber.ai
- Notable workflow
- Discover, enrich, build audiences, and operate in agents
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