# JPMorgan Chase & Co. — API Agent Score

> Score: 43/100 (Grade: F) | Domain: jpmorgan.com | Rubric: 1.0.0 | Checked: July 24, 2026

JPMorgan Chase & Co. scored 43/100 (F), classified "not-ai-ready".

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

## Summary

- Overall: 43/100 (F)
- Classification: not-ai-ready

## Category Scores

- API Design: 40/100 (F)
- Developer Experience: 45/100 (F)
- Agent Discovery: 63/100 (C)
- Agent Understanding: 40/100 (F)
- Agent Usability: 40/100 (F)

## Check Results

### API Design

- [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] Schema coverage & depth — No surface produced evidence for this capability in this run.
- [skip] Auth declared & discoverable — No surface produced evidence for this capability in this run.
- [skip] Example coverage — 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%.
- [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] Quickstart present — No quickstart/getting-started page found at the conventional paths. Investigated: docs 0%.
- [skip] Code samples in docs — No surface produced evidence for this capability in this run.
- [skip] Description completeness — No surface produced evidence for this capability in this run.

### Agent Discovery

- [pass] Registry & SDK presence — Indexed on Context7 (devotts/jpmorgan-api-docs, 400 snippets). Investigated: docs 100%, sdk 0%, cli 0%.
- [warn] Crawlable / AEO — Sitemap lastmod coverage 0% or newest entry older than 90 days. Investigated: wellknown 75%.
- [fail] llms.txt present, valid & comprehensive — No /llms-full.txt found at the candidate origins. Investigated: docs 0%.
- [skip] Docs reachable, not hard auth-gated — No surface produced evidence for this capability in this run.

### Agent Understanding

- [fail] Agent instructions file (AGENTS.md) — No AGENTS.md at the site root or /.well-known/. Investigated: wellknown 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] Agent-navigable, token-efficient docs — No surface produced evidence for this capability in this run.
- [skip] Docs structured data — 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

- [fail] Runnable collection with test scripts — No public Postman workspace discovered for the org. Investigated: platform 0%.
- [skip] Idempotency documented — No surface produced evidence for this capability in this run.
- [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.
- [skip] Sandbox separation — No surface produced evidence for this capability in this run.

## Executive Summary

JPMorgan's external API program shows meaningful strength in crawlability, but faces critical gaps in partner onboarding, agent readiness, and security governance that will stall partner adoption and block AI agent integrations before they start. The most urgent priorities are closing the self-service onboarding gap — partners currently cannot discover, evaluate, or make a first call without a sales conversation — and establishing the machine-readable artifacts (llms.txt, AGENTS.md, runnable collections) that AI agents require to integrate autonomously. Fixing these together will transform the program from a gated, high-friction experience into a self-serve partner ecosystem ready for both human developers and AI agents.