# Fiber AI

**Canonical:** https://apis.io/providers/fiber-ai/  
**Website:** https://fiber.ai/  
**APIs profiled:** 1

Fiber AI provides an agent‑native B2B data platform enabling sales, recruiting, and go‑to‑market teams to discover companies and contacts, enrich profiles, and run bulk audience workflows via API, MCP, or the Fiber AI plugin. The service offers clear cost controls, privacy‑first data handling, and integrates with LLM agents to automate outreach and talent sourcing.

## Kin Score — 53.6 / 100 (developing)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 66.1 |
| Contract Quality | 64.9 |
| Contract Governance | 22.0 |
| Operational Transparency | 31.0 |
| Developer Ergonomics | 57.1 |
| Access Clarity | 61.7 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 17.3 (matched via fallback).

## Agent readiness — 23.8 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | bearer |
| Idempotency | derived |
| Error Semantics | derived |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | yes |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Paid — onboarding: unknown, pricing: paid, trial: no (confidence: high).

## APIs (2)

- **Fiber AI API** — API for Fiber AI platform
- **Fiber AI API API** — Welcome to the Fiber AI API!

## Security (2)

- **Fiber AI Authentication** — 4 schemes
- **Fiber AI Domain Security** — TLSv1.3 · HSTS

## Plans (1)

- **Fiber AI Plans Pricing**

## Tags

B2B, Data Platform, Sales, Recruiting, Artificial Intelligence

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/fiber-ai/). Scores are computed from the provider's own public artifacts under a published rubric.
