# Cartesia — API Agent Score

> Score: 80/100 (Grade: A) | Domain: cartesia.ai | Rubric: 1.0.0 | Checked: July 24, 2026

Cartesia scored 80/100 (A), classified "ai-ready".

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

## Summary

- Overall: 80/100 (A)
- Classification: ai-ready

## Category Scores

- API Design: 75/100 (B)
- Developer Experience: 54/100 (D)
- Agent Discovery: 100/100 (A+)
- Agent Understanding: 82/100 (A)
- Agent Usability: 86/100 (A)

## Check Results

### API Design

- [warn] Schema coverage & depth — 214/216 (99%) public params are fully typed (no any/**kwargs). Analyzer reports not all methods have a derivable input schema. 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] Changelog published — Newest official SDK activity 0 day(s) ago. Investigated: sdk 100%.
- [warn] Quickstart present — Quickstart page reachable (1 variants scanned starting at https://docs.cartesia.ai/get-started/overview) but no runnable code sample detected in HTML or .md variant. Investigated: docs 50%.
- [warn] Description completeness — 27/117 operations lack a description. Investigated: sdk 77%.
- [fail] Self-service developer portal — No signup page detected across conventional paths (/signup, /sign-up, /register, /get-started, /console/signup, /dashboard/signup, /try, /try-free, /free, /free-trial, /start, /start-free). Investigated: docs 0%.
- [fail] Code samples in docs — No detectable code samples across 19 sampled docs pages. Investigated: docs 0%.

### Agent Discovery

- [pass] llms.txt present, valid & comprehensive — llms-full.txt reachable at https://docs.cartesia.ai/llms-full.txt. Investigated: docs 100%, sdk 0%.
- [pass] Registry & SDK presence — Indexed on Context7 (websites/cartesia_ai, 3015 snippets). Investigated: docs 100%, sdk 92%, cli 0%, mcp 0%, wellknown 0%.
- [pass] Crawlable / AEO — Docs paths crawlable by all monitored AI agents. Investigated: wellknown 100%.
- [skip] Docs reachable, not hard auth-gated — No surface produced evidence for this capability in this run.

### Agent Understanding

- [pass] Machine-readable errors (RFC 9457) — Single base error "APIError" with 51 subclasses. Investigated: sdk 100%.
- [pass] Docs structured data — JSON-LD Article markup on 19/19 assessed pages (100%) with dateModified present. Investigated: docs 100%.
- [fail] Agent instructions file (AGENTS.md) — No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 0%.
- [skip] Operation purpose clarity — No surface produced evidence for this capability in this run.
- [skip] Agent-navigable, token-efficient docs — No surface produced evidence for this capability in this run.
- [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%.
- [pass] Sandbox separation — Sandbox environments are exposed (sandbox). Investigated: sdk 100%.
- [warn] Pagination documented & consistent — 13/16 list method(s) return an auto-paginating iterable. Investigated: sdk 81%.
- [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.

## Executive Summary

Cartesia's API program shows real strengths in schema design and operational reliability, but two areas are holding back partner adoption: developer experience is the weakest link, with no self-service portal and missing code samples meaning partners can't get hands-on without friction. Equally, agents and AI coding tools lack the runnable context and instruction files they need to integrate correctly. Prioritize establishing a self-service developer portal with embedded code samples first, then layer in runnable collections and agent-specific context to make the program fully AI-agent-ready.