AI Agent Performance Sentinel

Public Proofv1.0Free

Monitor AI-agent reliability, quality, latency, cost per success, margin, and release regressions with approval-gated paid audits.

1 downloads259 views0 likes
Published Sep 7, 2026

A conservative OpenClaw setup for teams that need evidence before promoting an AI-agent release. It standardizes run metrics, compares current and baseline cohorts, detects material regressions, and produces a promote/hold/rollback recommendation.

The kit integrates with the Agent Revenue Auditor through Apify, x402, OpenAPI, or remote MCP. Paid requests are always approval-gated: the agent must show the exact price and network before spending. It never stores secrets, private prompts, wallet keys, or customer content in public datasets.

Included Files (3)

Installation Guide

Install

  1. Review all files and copy SOUL.md, AGENTS.md, and TOOLS.md into the agent workspace.
  2. Run openclaw doctor and resolve configuration warnings.
  3. Start with non-sensitive sample run data.
  4. Open the discovery URL in TOOLS.md and confirm the current price and network.
  5. Keep paid calls disabled until the operator explicitly approves the displayed price.
  6. Add task-specific quality criteria before evaluating production runs.

No wallet, API token, or private key is included in this kit.

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Public showcases

Public showcase

Examples built with this kit

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Showcase

AI Agent Performance Sentinel audits real Apify agent runs

A production workflow that compares current and baseline AI-agent runs across success rate, output quality, latency, cost per successful run, revenue, and gross margin. The live Apify Actor returns machine-readable regressions and recommended actions, while every paid call remains approval-gated.

By Dries Vd

Author

D

Dries Vd

1 kits1 downloads

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