# Cash App — API Agent Score

> Score: 68/100 (Grade: C) | Domain: cash.app | Rubric: 1.0.0 | Checked: July 29, 2026

Cash App scored 68/100 (C), classified "partially-ready".

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

## Summary

- Overall: 68/100 (C)
- Classification: partially-ready

## Category Scores

- API Design: 87/100 (A)
- Developer Experience: 61/100 (C)
- Agent Discovery: 91/100 (A+)
- Agent Understanding: 59/100 (D)
- Agent Usability: 53/100 (D)

## Check Results

### API Design

- [pass] Schema coverage & depth — 9/9 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%.
- [warn] Security & governance hygiene — security.txt present but missing or expired Expires. Investigated: wellknown 50%.
- [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://cash.app/login?su; no free-tier language detected in docs/pricing. Investigated: docs 100%.
- [pass] Changelog published — Newest official SDK activity 161 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 8 sampled docs pages. Investigated: docs 0%.
- [skip] Description completeness — No surface produced evidence for this capability in this run.

### Agent Discovery

- [pass] Docs reachable, not hard auth-gated — All 1 pages are publicly accessible. Investigated: docs 100%.
- [pass] Registry & SDK presence — Indexed on Context7 (websites/browser_cash, 171 snippets). Investigated: docs 100%, sdk 50%, cli 0%.
- [warn] llms.txt present, valid & comprehensive — llms.txt covers 0/1 sitemap doc pages (0%); 1 missing. Investigated: docs 75%, sdk 0%.
- [warn] Crawlable / AEO — Sitemap lastmod coverage 66% or newest entry older than 90 days. Investigated: wellknown 75%.

### Agent Understanding

- [warn] Agent-navigable, token-efficient docs — 2 of 4 endpoints have aggressive caching or missing cache headers. Investigated: docs 85%.
- [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 3 assessed pages (3 JS-rendered). Investigated: docs 0%.
- [skip] Machine-readable errors (RFC 9457) — No surface produced evidence for this capability in this run.
- [skip] Operation purpose clarity — No surface produced evidence for this capability in this run.
- [skip] Description consistency across surfaces — Only 0 surface description(s) with ≥6 tokens available; need at least 2 to compare.

### Agent Usability

- [pass] Sandbox separation — Sandbox environments are exposed (sandbox). Investigated: sdk 100%.
- [fail] Idempotency documented — No built-in retry machinery was found; transient failures are not retried. Investigated: sdk 0%.
- [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

Cash's API program earns strong marks for authentication, security, and discoverability — partners and agents can already find your APIs without a sales conversation. The critical gaps are in agent understanding and operational reliability: there are no machine-readable agent instructions, no structured documentation metadata, no idempotency guidance, and no runnable collection with test scripts. Fixing these in order will let partners — and the AI agents they deploy — move from evaluation to live integration without guesswork or manual handholding.