The agent experience platform

You see the calls.
Not the agent.

Your logs show the 10% above the waterline — 200s and 401s. Ardea runs real coding agents and shows you the 90% below: the reasoning, the retries, the dead-ends.

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Clerk · no login required
01 What agents do02 Where it breaks03 What to fix04 What to build05 Where you stand
200 · 200 · 401 · 200 — the visible tip
10% — what your logs capture90% — what the agent actually lived
10 / 90
Agent run · sign up & start a session
01 Create user
POST/v1/users200
02 Verify email
POST/v1/users/{id}/verify200
03 Start session
POST/v1/sessions404
POST/v1/sessions ↺404
no session route on the Backend API — the agent stalled here
01 / 05

What does the agent actually do?

Every call, grouped by intent.

Value reached · % of missions that reach their goal
OnboardOrgM2MSSOB2B SaaS92804170Enterprise88846090Marketplace76643855AI platform70583048
reachedpartialstalled
02 / 05

Where does it break — and for whom?

AI platforms × M2M auth is the risk zone — only 30% reach their goal.

Trace-backed fix → rerun
Document the Content-Type header on POST /v1/users.
before 57%after 88%
88% · +31
same missions · only the doc fix changed · n=42
03 / 05

What do you fix — and did it work?

A trace-backed fix, measured by a rerun.

A workflow agents repeat
POST /users
GET /users/{id}
POST /organizations
POST …/memberships
POST /invitations
GET /sessions
org_onboarding
suggested tool
04 / 05

What should you ship next?

Six calls could collapse into one — fewer tokens, fewer dead-ends.

05 / 05 · where you stand
B+
Outcome
Coverage
Friction
Value lift
Trust
one honest grade — every point links to the runs behind it

See it on a real API.

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