# Fabraix

**Canonical:** https://apis.io/providers/fabraix/  
**Website:** https://fabraix.com  
**APIs profiled:** 0

Fabraix builds red-teaming AI agents that continuously find security vulnerabilities in customer-facing AI systems. Its flagship product, Nyx, autonomously discovers exploits across chat, voice, browser, and coding agents without needing source-code access, drawing on a library of more than 10,000 jailbreaks and adaptive attack strategies that pursue promising approaches across hundreds of interactions. Fabraix also created ACE (Adversarial Cost to Exploit), a game-theoretic benchmark that measures AI security by the cost of a successful attack, enabling continuous, lower-cost vulnerability testing that re-assesses systems with each update. Fabraix is a Y Combinator (Summer 2026) company. This profile is maintained by the API Evangelist network; no public API, developer documentation, or machine-readable surface has been published by Fabraix at this time.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| 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 |

## Access

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

## Tags

Company, AI Security, Red Teaming, AI Agents, Adversarial Verification, Cybersecurity, LLM Security, Y Combinator

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