# Agent Benchmark Explorer

Stage: Preview

Audience: AI teams comparing autonomous workflows

## Summary

A structured benchmark surface for measuring whether agents can plan, use tools, recover from errors, and complete useful work rather than only answer prompts.

## Buyer Problem

Agent buyers need to know whether a system can finish work across tools, not whether the base model can write an impressive paragraph. This product turns messy agent demos into repeatable runs with pass/fail evidence.

## Metrics

- Task completion
- Tool-call quality
- Recovery rate
- Cost per resolved task

## Deliverables

- Agent scorecard
- Trace review table
- Failure taxonomy
- Cost per resolved task

## Buyer Questions

- Can the agent recover after a bad tool call?
- Does it verify state before claiming completion?
- How much does each accepted workflow actually cost?
- Which failures should trigger human handoff?

## Demo State

Preview dashboard with synthetic benchmark traces; real trace ingestion is the next build step.

Demo readiness: 76/100

Missing for live demo:
- Reviewer-signed trace
- Real screenshot/media
- Provider or agent export

## Connected Evidence

- [Agentic Reliability Index](/leaderboards#agentic-reliability-index)
- [Browser Operations Suite](/benchmarks/browser-operations-suite)
- [Agent benchmarks article](/articles/agent-benchmarks-that-survive-real-work)

## Visual Preview

![Agent Benchmark Explorer live Studio preview screenshot](/reports/studio/previews/agent-benchmark-explorer.png)