# Frontegg — API Agent Score

> Score: 69/100 (Grade: C) | Domain: frontegg.com | Rubric: 1.0.0 | Checked: July 24, 2026

Frontegg scored 69/100 (C), classified "partially-ready".

[View full report](https://www.postman.com/ai/ai-ready-apis/company/frontegg)
[All organizations](https://www.postman.com/ai/ai-ready-apis/llms.txt)

## Summary

- Overall: 69/100 (C)
- Classification: partially-ready

## Category Scores

- API Design: 75/100 (B)
- Developer Experience: 66/100 (C)
- Agent Discovery: 76/100 (B)
- Agent Understanding: 80/100 (A)
- Agent Usability: 54/100 (D)

## Check Results

### API Design

- [warn] Schema coverage & depth — 26 of 136 public signatures use loose types (anyTypeRatio=0.191). Investigated: sdk 80%, spec 50%.
- [pass] Security & governance hygiene — No credential-shaped strings detected in spec. Investigated: spec 100%, wellknown 0%.
- [warn] Machine-readable, versioned contract — No info.version and no versioning scheme detected. Investigated: spec 50%, docs 0%.
- [warn] Auth declared & discoverable — Authentication applied on 309/346 operations (partial coverage). Investigated: spec 50%, docs 50%.
- [pass] Example coverage — README is present and includes a runnable quickstart. Investigated: sdk 100%, spec 0%, docs 0%.

### Developer Experience

- [pass] Self-service developer portal — Signup page at https://frontegg.com/wp-content/uploads/2021/04/signup.svg; no free-tier language detected in docs/pricing. Investigated: docs 100%.
- [pass] Description completeness — 64% description completeness (target 90%+). Investigated: spec 100%, sdk 4%.
- [pass] Changelog published — Newest official SDK activity 0 day(s) ago. Investigated: sdk 100%, spec 0%, docs 0%.
- [fail] Quickstart present — No quickstart/getting-started page found at the conventional paths. Investigated: docs 0%.
- [fail] Code samples in docs — No detectable code samples across 1 sampled docs pages. Investigated: docs 0%.

### Agent Discovery

- [pass] Registry & SDK presence — Indexed on Context7 (websites/developers_frontegg, 4236 snippets). Investigated: docs 100%, sdk 92%, cli 0%, mcp 0%, wellknown 0%.
- [warn] Docs reachable, not hard auth-gated — Server ignores Accept: text/markdown header (0/1 pages return markdown). Investigated: docs 75%.
- [warn] llms.txt present, valid & comprehensive — No llms.txt directive found in HTML of any of 1 pages. Investigated: docs 50%, sdk 0%.
- [warn] Crawlable / AEO — No sitemap discoverable via robots.txt or /sitemap.xml on the docs host. Investigated: wellknown 50%.

### Agent Understanding

- [pass] Machine-readable errors (RFC 9457) — 5 distinct 4xx/5xx response codes documented. Investigated: spec 100%, docs 100%, sdk 100%.
- [pass] Operation purpose clarity — 99% of operations have a clear summary + operationId an agent can select on. Investigated: spec 100%.
- [warn] Agent-navigable, token-efficient docs — 1 of 1 pages have substantive content differences between markdown and HTML (avg 76% missing). Investigated: docs 80%.
- [fail] Agent instructions file (AGENTS.md) — No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 0%.
- [fail] Docs structured data — Neither JSON-LD nor OpenGraph/meta tags detected across 1 sampled pages — likely a CSR-only docs site. Investigated: docs 0%.
- [skip] Description consistency across surfaces — Only 1 surface description(s) with ≥6 tokens available; need at least 2 to compare.

### Agent Usability

- [pass] Idempotency documented — Built-in retry machinery is present (grep-derived). Investigated: sdk 100%, spec 0%, docs 0%.
- [warn] Sandbox separation — No test-mode flag or sandbox environment is exposed. Investigated: sdk 50%, spec 0%, docs 0%.
- [fail] Rate-limit signaling — No rate-limit response headers documented. Investigated: spec 0%, docs 0%.
- [fail] Pagination documented & consistent — 17 list endpoint(s) exist but no pagination params found. Investigated: spec 0%, docs 0%.
- [fail] Runnable collection with test scripts — No public Postman workspace discovered for the org. Investigated: platform 0%.

## Executive Summary

Frontegg's API program shows strength in contract quality and discovery fundamentals, but partners and their AI agents face two compounding gaps: the documentation lacks the machine-readable signals and structured context agents need to parse and act on the API autonomously, and there is no runnable, executable layer where partners can make a verified first call, test edge cases, or trust that rate-limit and pagination behaviors are clearly defined. Closing the agent-readability and executability gaps together will shorten partner integration cycles and give AI-powered tools the grounded context they need to generate correct code without guessing.