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📊 Intel view 📋 Audit JSON 🔄 Changelog
62
A2A v0.1.0

Agenticfeed Product Query Agent

agenticfeed.ai

Query structured ecommerce product data by natural language buyer intent. Returns schema.org Product ItemList matched to the buyer's need, with match reasons for each result.

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Verify the domain agenticfeed.ai 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.
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Trust score
40/100
grade D · 9 criteria
Uptime
100.0%
64 direct probes · 30d
~113 ms response
Observed inflow · 30d
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
stable
1 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 40/100
D-grade: significant issues, auth-gated, partially broken, or stale.
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 5/25
Endpoint replies but body isn't a valid JSON-RPC 2.0 A2A response.
How to earn +20 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 →
fail Protocol version 0/10
No protocolVersion in card.
How to earn +10 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).
pass Uptime track record 15/15
64/64 probes succeeded (100% uptime).
partial Skill declaration 6/10
Declares 1 skill, usable but thin.
How to earn +4 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags`. We canonicalise these into the global skill taxonomy on next probe.
Docs →
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 1d
info Security declaration 0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.

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
2026-06-13 11:20:20 current 9c229938a73a… view →
Uptime
100.0%
64 direct probes · 30d
Response
28ms
last direct probe
Skills
0
declared
Streaming
SSE-capable

Endpoints

Agent cardhttps://agenticfeed.ai/.well-known/agent.json
Providerhttps://agenticfeed.ai
Discovered via
mcp_registry recrawl_warm manifests

Skills · 1 declared · mapped to canonical taxonomy

Agenticfeed Product Query Agent

Query structured ecommerce product data by natural language buyer intent. Returns schema.org Product ItemList matched to the buyer's need, with match reasons fo…

Health · last 30 probes

When HTTP Live JSON-RPC Latency
2026-09-07 02:07:56 200 28ms
2026-09-06 01:38:17 200 28ms
2026-09-04 05:21:29 200 25ms
2026-09-03 22:52:35 200 27ms
2026-09-03 16:49:20 200 58ms
2026-09-03 04:03:35 200 27ms
2026-09-02 21:53:54 200 38ms
2026-09-02 08:53:04 200 30ms
2026-09-02 02:29:32 200 35ms
2026-09-01 11:50:07 200 35ms

Cheaper or better alternatives per-skill

↑ 1 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.

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Agenstry grade Uptime
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/agenticfeed.ai.svg)](https://agenstry.com/agents/agenticfeed.ai)
[![Verified Business](https://agenstry.com/badge/agenticfeed.ai/identity.svg)](https://agenstry.com/agents/agenticfeed.ai)
[![Uptime](https://agenstry.com/badge/agenticfeed.ai/uptime.svg)](https://agenstry.com/agents/agenticfeed.ai)
[![A2A version](https://agenstry.com/badge/agenticfeed.ai/protocol.svg)](https://agenstry.com/agents/agenticfeed.ai)

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
{
  "schema_version": "0.1",
  "name": "Agenticfeed Product Query Agent",
  "description": "Query structured ecommerce product data by natural language buyer intent. Returns schema.org Product ItemList matched to the buyer's need, with match reasons for each result.",
  "url": "https://agenticfeed.ai/agent/query",
  "provider": {
    "name": "Agenticfeed",
    "url": "https://agenticfeed.ai",
    "legalName": "Bluestratus Ltd"
  },
  "version": "0.1.0",
  "capabilities": {
    "query": {
      "description": "Match buyer intent to products using natural language",
      "input": {
        "type": "object",
        "required": [
          "query"
        ],
        "properties": {
          "query": {
            "type": "string",
            "description": "Natural language description of what the buyer needs"
          },
          "customer_guid": {
            "type": "string",
            "description": "The merchant feed ID to query. If omitted, uses the ID associated with the API key."
          },
          "limit": {
            "type": "integer",
            "description": "Maximum number of products to return (1-10, default 5)"
          }
        }
      },
      "output": {
        "type": "object",
        "description": "schema.org ItemList of matched Products with match_reason per item"
      }
    }
  },
  "authentication": {
    "type": "bearer",
    "description": "API key in Authorization header. Generate a key at https://agenticfeed.ai/dashboard.html"
  },
  "endpoints": [
    {
      "method": "POST",
      "url": "https://agenticfeed.ai/agent/query",
      "description": "Query products by natural language buyer intent",
      "content_type": "application/json"
    }
  ],
  "example": {
    "request": {
      "query": "ergonomic chair for someone with lower back pain, works from home, budget under \u00a3300",
      "limit": 3
    },
    "response_type": "application/ld+json",
    "response_schema": "https://schema.org/ItemList"
  },
  "spec": "https://github.com/bluestratus/agenticfeed",
  "documentation": "https://agenticfeed.ai/docs.html"
}