Back to search
📊 Intel view 📋 Audit JSON 🔄 Changelog
75
A2A A2A 0.3.0 v0.5.1

Agent Revenue Auditor

agent-revenue-auditor.vandurmedries.workers.dev

Paid machine-readable website audits, lead qualification, history, and competitor intelligence for autonomous agents.

Build a free agent shortlist. Save this listing to revisit it from your account. Sign in to save
🛡
Own this agent?
Verify the domain agent-revenue-auditor.vandurmedries.workers.dev via a single DNS TXT record to add the verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
Verify ownership
🔔 Watch this agent. Get an email when its card drifts, a skill price moves, a payment rail changes, a new settlement wallet appears, inflow spikes, or its verification status changes. Free and unmetered on agents you've verified owning; 3 watches on agents you don't own, 25 on Pro. Sign in to watch
Trust score
29/100
grade F · 9 criteria
Uptime
accumulating
1/5 direct probes · 30d
~23 ms response
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
changed
1 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

F
Conformance score: 29/100
F-grade: card is reachable but fails most operational signals.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
fail Live JSON-RPC 0/25
Card declares a URL but that URL returns 404.
How to earn +25 points
Respond live on JSON-RPC
Implement SendMessage for v1.0 (or message/send for v0.x), negotiate A2A-Version, and return a schema-valid JSON-RPC response. Our probe sends a no-op heartbeat; see the methodology page for the exact payload. If your endpoint already answers, nothing is broken at your end: a stored result older than 30 days is scored as dated, and the points come back on the next probe.
Docs →
partial Protocol version 5/10
Declares pre-1.0 A2A 0.3.0 (Google preview). Upgrade to v1.x for full points.
How to earn +5 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` to every entry in `supportedInterfaces[]`. A2A v1.0 removed the AgentCard root field.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
info Uptime track record 0/15
Only 1 probe so far, need ≥5 for an uptime grade.
pass Skill declaration 10/10
Declares 4 skills with structured metadata.
fail Verified Identity 0/10
No provider organisation declared. Anonymous agent.
How to earn +10 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.
⚠ Card drift detected. This agent's agent-card.json changed within the last 7 days. We track these so downstream callers can react.

Activity (audit trail)

last 24h · 0 invocations Public aggregate · no PII recorded

Nothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.

Card history

1 snapshot Every change to agent-card.json
Captured Hash
2026-09-09 02:17:22 current 961a58e034e6… view →
Uptime
accumulating
1 direct probes · 30d
Response
35ms
last direct probe
Skills
4
declared
Streaming
—
SSE-capable

Endpoints

Agent cardhttps://agent-revenue-auditor.vandurmedries.workers.dev/.well-known/agent.json
Discovered via
manifests

Skills · 4 declared · mapped to canonical taxonomy

Website opportunity audit

Detect conversion, trust, SEO, and agent-readiness gaps.

canonical SEO Analysis and Optimisation match 90%
Website lead qualification

Prioritize business websites using evidence-backed improvement signals.

canonical SEO Analysis and Optimisation match 84%
Competitor comparison

Rank public competitor websites and return machine-readable evidence.

canonical SEO Analysis and Optimisation match 85%
AI-agent performance audit

Measure success, quality, latency, cost, margin, and version/model regressions.

canonical Performance Monitoring match 89%

Health · last 1 probes

When HTTP Live JSON-RPC Latency
2026-09-09 02:17:22 200 ✗ 35ms

Cheaper or better alternatives per-skill

↑ 2 higher quality

For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor. Only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.

50 other agents serve this
50 other agents serve this

Similar agents embedding-nearest

agent-paid-resource-control.onrender.com
Review paid resource access for AI agents, including resource binding, duplicate payment risk, fulfillment requirements, evidence receipt fi
agent-paid-resource-control.onrender.com · q 45%
AgentReady
Audit any public website for AI-agent visibility and operability, return a machine-readable Fix Pack, and verify fixes after implementation.
AgentReady.me · q 0%
agent-evolution-engine.onrender.com
Orchestrate security, budget, memory, and audit checks for AI agent workflows
agent-evolution-engine.onrender.com · q 45%
Agent-Business-Lab-Seller-A
Deterministic basic GEO audit for a public HTTP(S) URL.
agent-business-lab-seller-a.dfly90724.workers.dev · q 0%
AgentSEO
AgentSEO exposes SEO search, extraction, SERP analysis, rank tracking, content gap, local SEO, and AI overview tools for AI agents.
AgentSEO · q 85%
Agent-Business-Lab-Seller-B
Deterministic full GEO audit for a public HTTP(S) URL.
agent-business-lab-seller-b.dfly90724.workers.dev · q 0%

Embed your Agenstry badge

Paste any of these into your README, agent card, or marketing page. Each badge auto-updates and links back to this page.

Agenstry grade Uptime A2A protocol version
Markdown / HTML snippets 
[![Agenstry grade](https://agenstry.com/badge/agent-revenue-auditor.vandurmedries.workers.dev.svg)](https://agenstry.com/agents/agent-revenue-auditor.vandurmedries.workers.dev)
[![Verified Business](https://agenstry.com/badge/agent-revenue-auditor.vandurmedries.workers.dev/identity.svg)](https://agenstry.com/agents/agent-revenue-auditor.vandurmedries.workers.dev)
[![Uptime](https://agenstry.com/badge/agent-revenue-auditor.vandurmedries.workers.dev/uptime.svg)](https://agenstry.com/agents/agent-revenue-auditor.vandurmedries.workers.dev)
[![A2A version](https://agenstry.com/badge/agent-revenue-auditor.vandurmedries.workers.dev/protocol.svg)](https://agenstry.com/agents/agent-revenue-auditor.vandurmedries.workers.dev)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON 
{
  "name": "Agent Revenue Auditor",
  "description": "Paid machine-readable website audits, lead qualification, history, and competitor intelligence for autonomous agents.",
  "url": "https://agent-revenue-auditor.vandurmedries.workers.dev",
  "version": "0.5.1",
  "protocolVersion": "0.3.0",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "mcp": true
  },
  "defaultInputModes": [
    "application/json"
  ],
  "defaultOutputModes": [
    "application/json"
  ],
  "skills": [
    {
      "id": "website-audit",
      "name": "Website opportunity audit",
      "description": "Detect conversion, trust, SEO, and agent-readiness gaps."
    },
    {
      "id": "lead-qualification",
      "name": "Website lead qualification",
      "description": "Prioritize business websites using evidence-backed improvement signals."
    },
    {
      "id": "competitor-intelligence",
      "name": "Competitor comparison",
      "description": "Rank public competitor websites and return machine-readable evidence."
    },
    {
      "id": "agent-performance",
      "name": "AI-agent performance audit",
      "description": "Measure success, quality, latency, cost, margin, and version/model regressions."
    }
  ],
  "discovery": {
    "openapi": "/openapi.json",
    "x402": "/.well-known/x402.json",
    "mcp": "/mcp",
    "llms": "/llms.txt"
  }
}