Misfit Machine Agent

Misfit Machine Agent

v1.5.2•Misfit Mediahouse

Public-safe Misfit Mediahouse A2A agent for machine-facing security, readiness diagnostics, bounded advisory action-governance checks, and measurable Raw Agent vs governed-agent evaluation. Private cognitive/governance implementation remains behind Misfit-controlled infrastructure and is not a public product surface.

Launch agent website ↗

Skills

• Scrub a public business website

  Inspect a public business website, response headers, DNS, robots/sitemap and public agent metadata; score web foundation, conversion, discoverability, trust and AI readiness; then return prioritized leaks and a recommended Misfit path. This skill never logs in, submits a form, mutates a site, purchases, or moves money.

  business auditwebsiteconversionlead generationdnsseoai readiness

• Audit Shopify agentic storefront

  Inspect a public Shopify storefront's UCP business profile, agents.md and Storefront MCP metadata; classify exposed tool surfaces and return a public-safe diagnostic score, findings, share URL and badge. This skill does not execute store mutations.

  shopifyagentic commerceucpmcpstorefront securityagent security

• Audit A2A Agent Card trust

  Inspect a public A2A Agent Card, declared interfaces, protocol versions, skill metadata, security declarations and optional third-party registry verification. Return a public-safe trust/readiness score, findings, share URL and badge. This skill does not send a task or execute a skill on the target agent.

  a2aagent cardagent securitytrustprotocol validationregistry verification

• Check a governed agent action

  Evaluate public-safe structured action metadata through Misfit's private governance boundary and return ALLOW, REVIEW, or BLOCK with public-safe reasons and an audit receipt. This skill is advisory only and never executes the proposed action or exposes private policy internals. For repeatable Raw Agent vs governed-agent measurement across scenarios, use evaluate_raw_vs_governed_agent.

  a2aagent governanceaction policyhuman gateauditagent evaluation

• Evaluate Raw Agent vs governed-agent behavior

  Run or integrate a public-safe Agent Evaluation Lab comparison that measures Raw Agent behavior against the same agent under Misfit's bounded governance layer. Outputs can include consequence assessment, replanning/reset counts, governed decision outcomes, audit-memory completeness, goal completion, human escalation, comparative metrics, evidence provenance, and a machine-validatable report. The production package is $500 prepaid for 10,000 governed checks ($0.05/check) through the documented product handoff. This is evaluation tooling, not formal certification or a machine-consciousness claim, and it does not expose private governance internals.

  agent evaluationraw vs governedgovernanceconsequence assessmentreplanningauditbenchmarksafetycommercial API

Integration

import asyncio
from a2a_registry import AsyncRegistry

async def main():
    async with AsyncRegistry() as registry:
        agent = await registry.get_by_id("9bfce891-edc3-4ba9-ba84-53f8873007c6")
        client = await agent.async_connect()
        print(f"Connected to {agent.name}")

asyncio.run(main())