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📊 Intel view 📋 Audit JSON 🔄 Changelog
85
A2A A2A 0.3.0 v1

Veezee

veezee.io

LinkedIn, Reddit, and X (formerly Twitter) data for AI agents: structured profiles, subreddits, posts, tweets, and search over MCP or REST.

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🛡
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Verify the domain veezee.io 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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🔔 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
39/100
grade F · 9 criteria
Uptime
accumulating
1/5 direct probes · 30d
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: 39/100
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).
partial Live JSON-RPC 10/25
Card declares only gRPC / HTTP+JSON interfaces; the live probe covers JSON-RPC, so the endpoint was not exercised. Not a defect in the card.
How to earn +15 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"` (Major.Minor, no patch number — §3.6) 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 8 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
2026-10-01 08:51:22 current 08cee075a65e… view →
Uptime
accumulating
1 direct probes · 30d
Response
83ms
last direct probe
Skills
8
declared
Streaming
—
SSE-capable

Endpoints

Agent cardhttps://veezee.io/.well-known/agent-card.json
Discovered via
smithery

Skills · 8 declared · mapped to canonical taxonomy

prospect-enrich

Enrich a list of prospects (profile URLs, slugs, or names) with LinkedIn role and experience data via the Veezee MCP server.

canonical Candidate Sourcing match 84%
linkedin
candidate-sourcing

Find LinkedIn candidates matching a role spec (title, company, school), shortlist them, and enrich the shortlist.

canonical Candidate Sourcing match 91%
linkedin
company-enrichment

Enrich a list of companies (LinkedIn URLs, slugs, or website domains) with firmographic data.

canonical Company Registry Lookup match 82%
linkedin
account-research

Deep research on one target company before outreach: company facts, key people, recent posts.

canonical Cold Outreach and Prospecting match 86%
linkedin
post-voice-research

Research what a person or company posts about on LinkedIn: topics, tone, and posting cadence.

canonical Candidate Sourcing match 84%
linkedin
reddit-monitoring

Watch subreddits and Reddit comment chatter for a brand, product, or topic, with per-run credit budget rules.

canonical Performance Monitoring match 87%
linkedin
launch-sentiment-sweep

One-shot sweep of Reddit and X reactions to a launch or announcement: volume, representative quotes, themes, and notable accounts.

canonical Resume Screening match 82%
linkedin
outreach-list-builder

Turn a role or ICP spec into a ranked outbound sales list of LinkedIn prospects with company context and personalized opener hooks.

canonical Candidate Sourcing match 86%
linkedin

Health · last 1 probes

When HTTP Live JSON-RPC Latency
2026-10-01 08:51:22 200 — 83ms

Cheaper or better alternatives per-skill

↑ 5 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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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/veezee.io.svg)](https://agenstry.com/agents/veezee.io)
[![Verified Business](https://agenstry.com/badge/veezee.io/identity.svg)](https://agenstry.com/agents/veezee.io)
[![Uptime](https://agenstry.com/badge/veezee.io/uptime.svg)](https://agenstry.com/agents/veezee.io)
[![A2A version](https://agenstry.com/badge/veezee.io/protocol.svg)](https://agenstry.com/agents/veezee.io)

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
{
  "protocolVersion": "0.3.0",
  "name": "Veezee",
  "description": "LinkedIn, Reddit, and X (formerly Twitter) data for AI agents: structured profiles, subreddits, posts, tweets, and search over MCP or REST.",
  "url": "https://veezee.io",
  "version": "1",
  "preferredTransport": "MCP",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false
  },
  "supportedInterfaces": [
    {
      "url": "https://mcp.veezee.io/linkedin",
      "transport": "MCP"
    },
    {
      "url": "https://mcp.veezee.io/reddit",
      "transport": "MCP"
    },
    {
      "url": "https://mcp.veezee.io/x",
      "transport": "MCP"
    },
    {
      "url": "https://mcp.veezee.io/all",
      "transport": "MCP"
    }
  ],
  "additionalInterfaces": [
    {
      "url": "https://mcp.veezee.io/linkedin",
      "transport": "MCP"
    },
    {
      "url": "https://mcp.veezee.io/reddit",
      "transport": "MCP"
    },
    {
      "url": "https://mcp.veezee.io/x",
      "transport": "MCP"
    },
    {
      "url": "https://mcp.veezee.io/all",
      "transport": "MCP"
    }
  ],
  "skills": [
    {
      "id": "prospect-enrich",
      "name": "prospect-enrich",
      "description": "Enrich a list of prospects (profile URLs, slugs, or names) with LinkedIn role and experience data via the Veezee MCP server.",
      "tags": [
        "linkedin"
      ]
    },
    {
      "id": "candidate-sourcing",
      "name": "candidate-sourcing",
      "description": "Find LinkedIn candidates matching a role spec (title, company, school), shortlist them, and enrich the shortlist.",
      "tags": [
        "linkedin"
      ]
    },
    {
      "id": "company-enrichment",
      "name": "company-enrichment",
      "description": "Enrich a list of companies (LinkedIn URLs, slugs, or website domains) with firmographic data.",
      "tags": [
        "linkedin"
      ]
    },
    {
      "id": "account-research",
      "name": "account-research",
      "description": "Deep research on one target company before outreach: company facts, key people, recent posts.",
      "tags": [
        "linkedin"
      ]
    },
    {
      "id": "post-voice-research",
      "name": "post-voice-research",
      "description": "Research what a person or company posts about on LinkedIn: topics, tone, and posting cadence.",
      "tags": [
        "linkedin"
      ]
    },
    {
      "id": "reddit-monitoring",
      "name": "reddit-monitoring",
      "description": "Watch subreddits and Reddit comment chatter for a brand, product, or topic, with per-run credit budget rules.",
      "tags": [
        "linkedin"
      ]
    },
    {
      "id": "launch-sentiment-sweep",
      "name": "launch-sentiment-sweep",
      "description": "One-shot sweep of Reddit and X reactions to a launch or announcement: volume, representative quotes, themes, and notable accounts.",
      "tags": [
        "linkedin"
      ]
    },
    {
      "id": "outreach-list-builder",
      "name": "outreach-list-builder",
      "description": "Turn a role or ICP spec into a ranked outbound sales list of LinkedIn prospects with company context and personalized opener hooks.",
      "tags": [
        "linkedin"
      ]
    }
  ],
  "skillsIndex": "https://veezee.io/.well-known/agent-skills/index.json"
}