# FGAC.ai

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

FGAC.ai provides fine‑grain access control for AI agents, acting as a proxy that enforces policies when AI services call Google APIs and other cloud resources. The platform offers a developer‑friendly interface, documentation, pricing plans, and quick‑start guides to help integrate secure AI workflows. It aims to protect data and manage permissions across multiple AI models and services.

## Kin Score — 19.5 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 53.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 21.4 |
| Access Clarity | 51.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 12.7 (matched via fallback).

## Agent readiness — 15.1 (agent-aware)

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

## Access

Freemium — onboarding: unknown, pricing: freemium, trial: no (confidence: low).

## APIs (1)

- **FGAC AI API** — FGAC AI provides a REST API for policy enforcement and data routing.

## Security (1)

- **FGAC.ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **FGAC.ai Plans Pricing**

## Tags

Artificial Intelligence, Security, Access Control, Proxy, Platform

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