# Eng — API Agent Score

> Score: 69/100 (Grade: C) | Domain: eng.it | Rubric: 1.0.0 | Checked: July 30, 2026

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

[View full report](https://www.postman.com/ai/ai-ready-apis/company/eng)
[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: 56/100 (D)
- Agent Discovery: 70/100 (B)
- Agent Understanding: 69/100 (C)
- Agent Usability: 72/100 (B)

## Check Results

### API Design

- [pass] Schema coverage & depth — 66/66 enums are named types (not bare strings). Investigated: sdk 100%.
- [pass] Example coverage — README is present and includes a runnable quickstart. Investigated: sdk 100%, docs 0%.
- [fail] Security & governance hygiene — No security.txt at /.well-known/security.txt or /security.txt. Investigated: wellknown 0%.
- [skip] Machine-readable, versioned contract — No surface produced evidence for this capability in this run.
- [skip] Auth declared & discoverable — No surface produced evidence for this capability in this run.

### Developer Experience

- [pass] Self-service developer portal — Signup page at https://www.eng.it/en/careers/join-us; no free-tier language detected in docs/pricing. Investigated: docs 100%.
- [pass] Changelog published — Newest official SDK activity 0 day(s) ago. Investigated: sdk 100%.
- [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 19 sampled docs pages. Investigated: docs 0%.
- [fail] Description completeness — 3/3 operations lack a description. Investigated: sdk 0%.

### Agent Discovery

- [pass] Registry & SDK presence — Indexed on Context7 (websites/godotengine_en_4_7, 109392 snippets). Investigated: docs 100%, sdk 33%, cli 0%, mcp 0%, wellknown 0%.
- [warn] Docs reachable, not hard auth-gated — Server ignores Accept: text/markdown header (0/50 sampled pages return markdown). Investigated: docs 75%.
- [pass] Crawlable / AEO — Docs paths crawlable by all monitored AI agents. Investigated: wellknown 100%.
- [fail] llms.txt present, valid & comprehensive — No llms.txt found at any candidate location (https://www.eng.it/en/llms.txt, https://www.eng.it/llms.txt, https://www.eng.it/docs/llms.txt). Investigated: docs 0%, sdk 0%.

### Agent Understanding

- [pass] Machine-readable errors (RFC 9457) — Single base error "PanopticError" with 209 subclasses. Investigated: sdk 100%.
- [warn] Agent-navigable, token-efficient docs — No sampled pages support .md URLs (0/50 tested). Investigated: docs 64%.
- [warn] Docs structured data — JSON-LD on 2/18 assessed pages, but coverage is sparse or dateModified is missing. Investigated: docs 50%.
- [fail] Agent instructions file (AGENTS.md) — No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 0%.
- [fail] Description consistency across surfaces — Mean pairwise description similarity across 2 surfaces (docs, sdk) is 0% (threshold 35% for full credit).
- [skip] Operation purpose clarity — No surface produced evidence for this capability in this run.

### Agent Usability

- [pass] Idempotency documented — Built-in retry machinery is present (grep-derived). Investigated: sdk 100%.
- [warn] Sandbox separation — No test-mode flag or sandbox environment is exposed. Investigated: sdk 50%.
- [fail] Runnable collection with test scripts — No public Postman workspace discovered for the org. Investigated: platform 0%.
- [skip] Rate-limit signaling — No surface produced evidence for this capability in this run.
- [skip] Pagination documented & consistent — No surface produced evidence for this capability in this run.

## Executive Summary

Eng's API program shows meaningful strength in agent usability foundations and discovery reachability, but two areas are holding back partner momentum most acutely: Developer Experience is weak enough that partners cannot get hands-on quickly — there is no quickstart, no code samples, and descriptions are incomplete — and Agent Understanding is undermined by missing agent-specific guidance files and inconsistent descriptions across surfaces. Prioritize closing the onboarding and description gaps first to compress time to a partner's first successful integration, then harden agent discoverability and runnable truth so AI-assisted workflows can operate reliably without human intervention.