Veezee
veezee.io
LinkedIn, Reddit, and X (formerly Twitter) data for AI agents: structured profiles, subreddits, posts, tweets, and search over MCP or REST.
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.
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 ▴
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 recordedNothing 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 toagent-card.json
| Captured | Hash | |
|---|---|---|
| 2026-10-01 08:51:22 current | 08cee075a65e… |
view → |
Skills · 8 declared · mapped to canonical taxonomy
Enrich a list of prospects (profile URLs, slugs, or names) with LinkedIn role and experience data via the Veezee MCP server.
Find LinkedIn candidates matching a role spec (title, company, school), shortlist them, and enrich the shortlist.
Enrich a list of companies (LinkedIn URLs, slugs, or website domains) with firmographic data.
Deep research on one target company before outreach: company facts, key people, recent posts.
Research what a person or company posts about on LinkedIn: topics, tone, and posting cadence.
Watch subreddits and Reddit comment chatter for a brand, product, or topic, with per-run credit budget rules.
One-shot sweep of Reddit and X reactions to a launch or announcement: volume, representative quotes, themes, and notable accounts.
Turn a role or ICP spec into a ranked outbound sales list of LinkedIn prospects with company context and personalized opener hooks.
Health · last 1 probes
Cheaper or better alternatives per-skill
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.
Similar agents embedding-nearest
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.
Markdown / HTML snippets
[](https://agenstry.com/agents/veezee.io) [](https://agenstry.com/agents/veezee.io) [](https://agenstry.com/agents/veezee.io) [](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.
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"
}