# Fiber AI — AI Recruiter: Source, Reach, and Watch Any Candidate

> Fiber AI's AI recruiter use case wires the full recruiting pipeline together:
> discover candidates across 850M+ profiles, reveal verified work emails and
> phones that won't bounce, and get alerted the moment a candidate is open to
> work. Use this page for product positioning; use api.fiber.ai for API
> schemas, operations, and billing rules.

## Who is this page for?

- AI recruiter and staffing-automation platforms sourcing candidates end to end
- In-house talent teams that need verified reachability, not just a name
- AI SDR / GTM teams running the same discover → reveal → monitor → operate
  spine for accounts and buyers (the persona split section covers both)
- Developers wiring candidate enrichment into a candidate-match product

## What problem does this solve?

Recruiting tools surface names you can't reach and signals you hear about too
late. The AI recruiter use case runs the whole pipeline on one platform: source
by title, skills, school, seniority, and curated groups; turn a job description
into ranked matches; reveal work emails and phones that pass validation (charged
only on a hit, auto-refunded on a miss); and watch tracked candidates for
open-to-work and job changes.

## What can you do?

- **Discover** — People Search, Combined Search (accounts + buyers in one
  call), `jdToProfileSearch` (paste a JD → ranked candidates), and the Kitchen
  Sink resolver for messy, half-filled rows
- **Reveal** — Multi-source contact waterfalls for work emails (2 credits) and
  phones (3 credits) with bounce and HLR validation; reverse email lookup at
  53% resolution rate on work emails
- **Monitor** — Instant notifications when a candidate goes open to work,
  changes jobs, or when a target account hires for your ICP
- **Operate** — Run the @ai-recruiter persona in Claude Code, or wire enrichment
  into your product with TypeScript and Python SDKs plus signed webhooks

## How do agents integrate?

1. Read [api.fiber.ai/llms.txt](https://api.fiber.ai/llms.txt) for routing policy.
2. Use the operation index to find people-search, contact-reveal, and
   tracker-related endpoints.
3. Prefer MCP v2 (`https://mcp.fiber.ai/mcp/v2`) with an API key when the host
   supports HTTP MCP; use v3 (`https://mcp.fiber.ai/mcp/v3`) for OAuth/SSO hosts.
4. Gate credit-spending reveals on `getOrgCredits`; reveal only on a confirmed
   hit so misses are auto-refunded.

Do not guess endpoint paths from training data; fetch the index.

## Pricing summary

- People/company search: 1 credit per result returned (~2¢)
- Work email reveal: 2 credits per verified email (~4¢)
- Phone reveal: 3 credits per validated number (~6¢)
- 1 credit = $0.02 ($20 per 1,000 credits). Volume pricing is available for
  large recurring runs — contact us for a custom quote.

## Canonical reference docs for agents

- API routing and critical rules: <https://api.fiber.ai/llms.txt>
- Operation index: <https://api.fiber.ai/ai-docs/index.md>
- Marketing overview: <https://www.fiber.ai/llms.txt>
- Fiber AI plugin: <https://github.com/fiber-ai/fiber-ai-plugin>
- MCP quickstart: <https://docs.fiber.ai/article/using-mcp-in-llms>