Agent Health Monitor (AHM)

Agent Health Monitor (AHM)

v0.1.0• Digital Intensity Ltd

A trust-scoring and health-monitoring service for AI agents. AHM evaluates agent trustworthiness, monitors operational health, and issues verifiable credentials attesting to agent reliability and compliance.

Launch agent website ↗

Skills

• Trust Score Evaluation

  Evaluates an AI agent's trustworthiness based on behavioral analysis, historical performance, compliance posture, and peer attestations. Returns a composite trust score (0-100) with dimensional breakdowns.

  trustscoringevaluationrisk-assessment

• Agent Health Monitoring

  Continuously monitors an AI agent's operational health including uptime, response latency, error rates, and behavioral consistency. Supports push notifications for health status changes.

  healthmonitoringuptimeobservability

• Verifiable Credential Issuance

  Issues W3C-compliant verifiable credentials attesting to an agent's trust score, health status, or compliance with specific standards. Credentials can be cryptographically verified by any relying party.

  credentialsverifiableattestationcomplianceW3C-VC

• Trust Report Generation

  Generates detailed trust assessment reports for an agent, including historical trends, dimensional analysis (reliability, safety, transparency, compliance), and comparative benchmarks.

  reportanalyticstrust-historybenchmarking

• Agent Registration

  Registers a new AI agent for trust scoring and health monitoring. Accepts an agent's A2A Agent Card URL or manual configuration. Begins baseline trust assessment upon registration.

  registrationonboardingdiscovery

Integration

import asyncio
from a2a_registry import AsyncRegistry

async def main():
    async with AsyncRegistry() as registry:
        agent = await registry.get_by_id("dce706a3-ae6a-4694-ad0d-f31402d7c1f3")
        client = await agent.async_connect()
        print(f"Connected to {agent.name}")

asyncio.run(main())