Your developers ask an AI assistant first. Does it get your SDK right?
We run realistic coding tasks for your product through an AI coding assistant, then check every call it writes against the exact version of your Python SDK. Every failure we report is proven: the method or argument does not exist, or is deprecated, in your package.
Get the audit: USD 490What a failure looks like
From our pilot on a notifications API (vendor anonymised): the assistant wrote this from memory.
client.users.update(
"user-123",
properties={"plan": "pro"}, # TypeError: unexpected keyword argument 'properties'
)
# exists in the installed SDK: users.update(user_id, avatar, channel_data, email, locale,
# name, phone_number, preferences, timezone, ...)
In the pilot, 2 of 5 popular API SDKs had calls like this in only 10 tasks each. Your users hit them as stack traces, open tickets, or quietly pick a competitor whose SDK the assistant gets right.
How the audit works
30 real workflows
Tasks a developer would actually ask about your product: auth, core resources, pagination, webhooks, async, errors.
Proof, not opinions
A clean install of your exact package version; every import, attribute and keyword argument is checked statically. Anything we cannot prove is reported as unverified, never as a failure.
Fixes you can ship
For each failure: what exists instead and the sentence to add to your docs or llms.txt so assistants stop making it.
A re-run
After you ship the fixes, we run the same tasks again so you can see the difference.
What you receive
| Item | Detail |
|---|---|
| Report | Summary by verdict, every failing snippet with line, error type and the correct call |
| Fix list | Ready-to-paste docs and llms.txt additions, ordered by impact |
| Raw data | All 30 tasks, the assistant's code and the machine-readable findings (JSON) |
| Re-run | One re-run within 60 days |
| Turnaround | 3 business days |
Method limits, stated in every report: static analysis only (no calls to your API, the code is never run); the assistant and model version are named; Python SDKs only for now.
Pricing
One SDK, 30 workflows, report, fix list, raw data and one re-run.
Order the auditPayment by Polar (merchant of record). Not happy with the report: full refund.