# Mem0 — API Agent Score

> Score: 73/100 (Grade: B) | Domain: mem0.ai | Rubric: 1.0.0 | Checked: July 24, 2026

Mem0 scored 73/100 (B), classified "partially-ready".

[View full report](https://www.postman.com/ai/ai-ready-apis/company/mem0)
[All organizations](https://www.postman.com/ai/ai-ready-apis/llms.txt)

## Summary

- Overall: 73/100 (B)
- Classification: partially-ready

## Category Scores

- API Design: 94/100 (A+)
- Developer Experience: 63/100 (C)
- Agent Discovery: 100/100 (A+)
- Agent Understanding: 67/100 (C)
- Agent Usability: 51/100 (D)

## Check Results

### API Design

- [pass] Schema coverage & depth — package.json "types" → ./dist/index.d.ts. Investigated: sdk 100%, spec 67%.
- [pass] Auth declared & discoverable — Authentication required (global or on every operation). Investigated: spec 100%, docs 100%.
- [warn] Machine-readable, versioned contract — info.version="v1" set but no versioning scheme (URL / header / media type) detected. Investigated: spec 75%, docs 50%.
- [pass] Security & governance hygiene — No credential-shaped strings detected in spec. Investigated: spec 100%, wellknown 0%.
- [pass] Example coverage — README is present and includes a runnable quickstart. Investigated: sdk 100%, spec 0%, docs 0%.

### Developer Experience

- [pass] Quickstart present — Quickstart at https://docs.mem0.ai/platform/quickstart with a runnable first-call sample. Investigated: docs 100%.
- [pass] Description completeness — 78% description completeness (target 90%+). Investigated: spec 100%.
- [pass] Changelog published — changelog documented in the docs site at https://docs.mem0.ai/changelog/highlights. Investigated: spec 100%, docs 100%, sdk 100%.
- [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 20 sampled docs pages. Investigated: docs 0%.

### Agent Discovery

- [pass] llms.txt present, valid & comprehensive — llms.txt found at https://docs.mem0.ai/llms.txt. Investigated: docs 100%, sdk 0%.
- [pass] Docs reachable, not hard auth-gated — All 1 pages are publicly accessible. Investigated: docs 100%.
- [pass] Registry & SDK presence — Indexed on Context7 (mem0ai/mem0, 5428 snippets). Investigated: docs 100%, cli 100%, sdk 50%, mcp 0%, wellknown 0%.
- [pass] Crawlable / AEO — Docs paths crawlable by all monitored AI agents. Investigated: wellknown 100%.

### Agent Understanding

- [pass] Machine-readable errors (RFC 9457) — 4 distinct 4xx/5xx response codes documented. Investigated: docs 100%, spec 50%.
- [pass] Agent-navigable, token-efficient docs — All 1 pages contain server-rendered content. Investigated: docs 100%.
- [pass] Docs structured data — JSON-LD Article markup on 19/19 assessed pages (100%) with dateModified present. Investigated: docs 100%.
- [warn] Description consistency across surfaces — Mean pairwise description similarity across 2 surfaces (docs, sdk) is 7% (threshold 35% for full credit).
- [fail] Operation purpose clarity — 50% of operations are agent-inferable. Investigated: spec 0%.
- [fail] Agent instructions file (AGENTS.md) — No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 0%.

### Agent Usability

- [pass] Pagination documented & consistent — Pagination params detected on 8 list endpoint(s). Investigated: spec 100%, docs 100%.
- [warn] Sandbox separation — No test-mode flag or sandbox environment is exposed. Investigated: sdk 50%, spec 0%, docs 0%.
- [fail] Idempotency documented — 0% of mutating operations document idempotency. Investigated: spec 0%, docs 0%, sdk 0%.
- [fail] Rate-limit signaling — No rate-limit response headers documented. Investigated: spec 0%, docs 0%.
- [fail] Runnable collection with test scripts — No public Postman workspace discovered for the org. Investigated: platform 0%.

## Executive Summary

Mem0's API program has a strong foundation in machine-readable contract quality, but partners and their AI agents are currently blocked by two critical gaps: a lack of clear operation semantics and agent-oriented context, and an absence of runnable, testable examples that agents need to integrate confidently. Fixing agent understanding and runnable usability first will unlock partner self-service and allow AI coding agents to integrate correctly without guesswork; onboarding and reliability improvements will then compound that momentum into faster partner activation and safer production integrations.