Your API was built for humans.
Your next integration won't be.
Athena audits how well AI coding agents — Cursor, Claude Code, Copilot — can actually integrate with your API. Then it tells you exactly what to fix.
Used by API teams at
The problem
In 2026, most integrations are written by agents — not humans.
Agents don't read your docs — they parse them.
The gap between human-readable and agent-readable is where integrations fail.
Your SDKs drift in silence.
Python returns an iterator, Node returns a cursor — agents generate code that's subtly wrong across languages.
Activation stalls, support tickets spike.
When the first integration attempt fails, your trial-to-paid conversion takes the hit.
Methodology
10 dimensions of AI-agent readiness.
Every audit scores your API across ten independent surfaces. Here's what we measure, and why each one matters.
Time to first call
Can an agent go from landing on your docs to a working API call in under five minutes?
OpenAPI spec quality
Is your spec complete, current, and parseable? Missing examples and undocumented error shapes are where agents hallucinate.
llms.txt coverage
A structured index of your docs built specifically for LLMs. Most APIs don't have one.
Docs structure
Is your documentation organized so an agent can find what it needs without scraping the whole site?
SDK consistency
Do your SDKs follow the same patterns across languages? Inconsistency breaks cross-language code generation.
Error documentation
Are error responses documented with real example bodies? This is the top source of agent-generated bugs.
Authentication clarity
Can an agent set up auth correctly on the first try, including edge cases like token refresh?
MCP server availability
Do you publish a Model Context Protocol server so agents can interact with your API directly?
Agent skills & rules
Have you published Cursor rules, Copilot instructions, or Claude skills for your API?
Drift & versioning
When your API changes, do your docs, SDKs, and AI assets stay in sync?
How it works
From URL to report in 15 minutes.
Point us at your API.
Give us your docs URL and primary OpenAPI spec. We handle the rest.
We run the audit.
Our system probes your API surface across all 10 dimensions — about 15 minutes.
You get a 12-page report.
Exact findings, evidence, and prioritized fixes. Polished PDF, scored out of 100.
Want continuous monitoring? Subscribe to catch drift on every PR, auto-generate missing AI assets, and track your score over time.
See plansSample report
12 pages. Every number backed by evidence.
Every audit produces a 12-page PDF: executive summary, scored breakdown by dimension, concrete evidence with code snippets, and prioritized next steps. Here's what a real one looks like.
Download a sample (no email required)Pricing
Simple pricing. Cancel anytime.
Start with a free audit. Upgrade when drift is costing you time.
Free audit
one-time
- 1 OpenAPI spec, 1 SDK repo
- Full 12-page PDF report
- No credit card required
Starter
or $4,990/yr · save 17%
- 1 OpenAPI spec, 2 SDK repos
- Monthly re-audit
- Auto-generated llms.txt & agent skills
- Monthly PDF report
- Email support
Growth
or $19,990/yr · save 17%
- Up to 5 OpenAPI specs, 10 SDK repos
- Continuous monitoring on every PR (500/mo)
- MCP server, Cursor rules, Copilot instructions
- PR-comment bot
- Weekly drift report + dashboard
- Shared Slack, 1-day response
Scale
or $49,990/yr · save 17%
- Unlimited specs, SDK repos, docs domains
- 5,000 monitored PRs/month
- Custom asset templates, custom rules
- Quarterly review call
- Dedicated Slack, 4-hour response
Need SOC 2, SSO, or self-hosted? Talk to us about Enterprise — from $25K/year.
FAQ
Questions.
What exactly does the audit check?
Each of the 10 dimensions has its own sub-score and page in the report. We publish the full methodology.
Do I need to give you access to private repos?
No. Athena audits the public surface only — what an AI agent would see. No auth, no secrets, no access.
How long does an audit take?
About 15 minutes for the automated pass. If you opt into human review, 48 hours.
Is this just a wrapper around an LLM?
No. We run deterministic probes across your docs, SDKs, and OpenAPI surface. LLMs are used only where judgment is genuinely needed, and those judgments are separately graded.
What if I don't have an OpenAPI spec?
We can generate one for you as a paid add-on ($2,500). Most companies who start there become long-term subscribers because the spec becomes the foundation for everything else.
Who's behind Athena?
Athena is built by Momentum AI. Founded by [FOUNDER NAME].
How is this different from hiring a DevRel consultant?
Consultants deliver a one-time report. Athena keeps watching — on every PR, as your API evolves. And our benchmark improves with every API we audit.
What counts as a "monitored PR"?
Every time a pull request touches your OpenAPI spec, SDK, or docs, Athena inspects it and flags drift before it ships.
See what an agent sees when it looks at your API.
Free audit. 15 minutes. No credit card.
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