When someone tells Claude Code
to build with your API, does it succeed?

Third Shift Labs runs real tasks against your API with every major coding agent. We report where they succeed, where they stall, and where they quietly give up.

If we emailed you, your Agent Readiness Report is already built. Reply "send it" and it's yours.

No form. No call. The report is finished; it just needs an address.

Agent Readiness Report · Stripe144 runs · Aug 2026
Create metered subscription$0.31
Checkout session + dynamic tax$0.58
Webhook signature verification$2.74
Failed-payment retry schedule$0.44
Test-clock renewal simulation$6.32
completedcompleted with frictiongave up
The problem

Agents fail on your API and never file a bug report.

A developer hands your platform to their coding agent. The agent reads your docs, hits a wall in your auth flow, retries a few times, and gives up. The developer does not open a support ticket. They do not post in your Discord. They conclude your product does not work, and they try your competitor, whose quickstart happened to parse cleanly.

All your analytics recorded was a handful of 401s at 2:14 in the morning.

The agent is now the first user of your API. It reads every word of your documentation, takes every error message literally, and churns without saying goodbye. You have never once watched it work.

Sample report · Stripe

We ran twelve real tasks against Stripe. Read every one.

Not toy prompts. Jobs a working developer would actually delegate: create a metered subscription, migrate a customer between plans, issue a partial refund against a disputed charge. Each task ran across four coding agents, three model tiers, and multiple reasoning settings.

Every transcript is public. Including the embarrassing ones. Especially the embarrassing ones.

9 of 12
tasks completed by every agent on the first attempt
1
task no agent completed without human help
$0.14
the cheapest successful run
$6.32
the most expensive failure
TaskClaude CodeCodexCursorGemini CLI
Create customer + default payment method
Create a metered subscription
Partial refund on a disputed charge
Migrate a customer between plans (proration)
Webhook endpoint + signature verification
Usage-based invoice with line-item discounts
Trial with payment-method collection
Checkout session with dynamic tax
Failed-payment retry schedule
Export payouts + reconcile fees
Connected account + funds transfer
Test-clock renewal simulation
 completed completed with friction gave upbest result across model tiers · 144 total runs · 87.5% completed
Highlighted dead-end
run 87 · cursor · webhook signature verification

Retried the same webhook signature verification eleven times before concluding the API was down.

The API was not down. The docs assume the raw request body; every framework example the agent could find had already parsed it.

The agent was very patient. A prospective customer would not have been.

Get the full Stripe report →
Methodology

How a run works.

01

We infer the jobs

For each platform, the ten to twelve tasks a developer would most plausibly hand to an agent. Real outcomes with ground truth, not "write hello world."

02

We run the matrix

Every task runs on every agent (Claude Code, Codex, Cursor, Gemini CLI), across model tiers, at multiple reasoning-effort settings. Identical starting conditions each time: API key already in the environment, your docs exactly as they are today, no coaching. The benchmark starts at the first prompt.

03

We measure four things

Goal completion, verified against ground truth rather than vibes. Cost, in tokens and dollars. Wall-clock time. And friction: retries, wrong turns, and the exact paragraph of documentation or error message where a run died.

04

We keep everything

Full transcripts, failures included. If a claim in the report cannot be traced to a transcript, it does not go in the report.

What we do not do: no cherry-picked runs. No pay-to-raise-your-score. And we benchmark before anyone hires us, because a benchmark commissioned by its subject is not evidence. It's marketing.
The Agent Readiness Report

Yours is already written.

If we emailed you, we already ran the full matrix against your platform: four agents, three model tiers, 144 real runs. Inside:

This is the document you forward when you have been saying "our docs need work" for two quarters and getting nowhere. Now you have receipts.

It reads like an audit of the docs, not of you. Most dead-ends we find are things someone inside already suspected and could never prove. Now you can prove it.

144 runs, about $430 in compute and 11 hours of agent wall-clock time. Already spent. The report is free anyway.

Reply "send it" to the email. That's the whole process.

After the report

What happens after you read it.

Nothing, if you like

The report is free. No strings, no drip sequence, no "just circling back on this."

If you want the failures fixed

That is what we sell. We rewrite the docs, error messages, and examples where agents dead-ended, then re-run the identical benchmark. The before-and-after is the proof, not our word.

When new models ship

What worked last quarter can quietly break. We re-run your benchmark and tell you before your users find out.

Yes, the second and third parts are the business. The report is real either way.

The name

Why "Third Shift"

The third shift is the one that works while you sleep. That is when agents integrate against your API: no onboarding call, no sales engineer, nobody watching.

We watch.

Your report is sitting in our outbox.

Reply "send it" to the email you received. It was written while you slept. Reading it takes about ten minutes.

It reflects this month's models. When the next family ships, these numbers change.

No email from us? Write to [email protected] and we'll put your platform in the queue. We run a few platforms a month; the queue is real.