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Create a workspace with 100 accepted events included for testing.
AI Agent Value Measurement
Track tasks. Measure value.
A2EA is a measurement layer for AI agent work. It records task outcomes, compares them with baselines, and shows the value created from speed, accuracy, and after-hours coverage.
Connect one function · First 100 events free · See value dashboard
Your backend function completes a task.
The SDK sends duration, outcome, and type.
A2EA compares against expected performance.
The dashboard reports measured dollar impact.
Install the SDK and add your workspace key server-side.
Each run sends task duration, outcome, and task type.
A2EA compares performance with baseline expectations.
Speed, quality, and coverage are converted into dollar impact.
Use the dashboard to decide what to scale, fix, or stop.
See which workflows create the most value.
Compare agent runtime against expected baselines.
Track success rate and avoided remediation cost.
Measure after-hours work that would otherwise wait.
Keep task records tied to measurable outcomes.
Create a workspace with 100 accepted events included for testing.
A2EA creates the workspace and issues your API key.
Install the Python SDK and wrap the agent function you want measured.
A2EA reads completed task events, so dashboards are tied to real agent behavior instead of surveys, guesses, or manual spreadsheets.
Send telemetry from trusted backend code, workers, queues, or serverless functions so workspace keys stay private.
Use A2SPA when you also need to authorize what agents are allowed to do before execution.
Learn about A2SPA →Use A2EA to measure what agents did after execution and turn task results into value reporting.
Value MeasurementStart with 100 accepted events and a live dashboard.