Gate an AI Agent Release Against a Baseline

Created by

Dries Vd

Actor

AI Agent Performance Auditor

Compare current AI-agent runs with a previous model or release. Detect reliability, quality, latency, cost-per-success, and margin regressions before production rollout.

Try for free

AI Agent Performance Auditorwintry_nutmeg/ai-agent-performance-auditor

Release decision

Health score

Status

Performance metrics

+5 fields

Input

Current AI-agent runs(required)

id:run-101+2

success:true+2

costUsd:0.04+2

revenueUsd:0.2+2

latencyMs:1200+2

qualityScore:92+2

version:1.1+2

model:model-a+2

Optional baseline runs

id:run-001+1

success:true+1

costUsd:0.06+1

revenueUsd:0.2+1

latencyMs:1700+1

qualityScore:84+1

version:1.0+1

model:model-a+1

Optional regression thresholds:{5 fields}

Output fields

Release decision

Health score

Status

Performance metrics

Regressions

Versions

Models

Recommended actions

Checked

How it works

Sign up on Apify or log in

The AI Agent Performance Auditor Actor is ready to run with the inputs already set for "Gate an AI Agent Release Against a Baseline". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Gate an AI Agent Release Against a Baseline" task

The AI Agent Performance Auditor Actor will start running based on the input automatically. You can also change all the input fields, like current ai-agent runs, optional baseline runs, and more, to match your specific use case.

Receive the "Gate an AI Agent Release Against a Baseline" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as release decision, health score, status, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Gate an AI Agent Release Against a Baseline" task via API.