Agentery pricing intelligence · Provider profile · Zooq
Provider profile · independently tracked by Agentery
Zooq logo

Zooq

zooq.dev official website

Live LinkedIn data for AI agents — 44 tools covering profiles, companies, jobs, posts, people search, job-change signals and email finding. **Your LinkedIn ac…

infrastructure
Agentery price verdictNo pricing observed
Billing model
Last checkedpricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Live LinkedIn data for AI agents — 44 tools covering profiles, companies, jobs, posts, people search, job-change signals and email finding. **Your LinkedIn account is never involved.** Most LinkedIn MCP servers borrow your logged-in session cookie, which puts your own account at ban risk and breaks whenever LinkedIn changes. ZOOQ runs on its own infrastructure — you paste one API key and your account stays out of it. **Free tier:** 300 credits, no card required — [zooq.dev/signup](https://zooq.dev/signup) Typical agent recipes: - **AI SDR** — `search_people` → `profile_enrich` → `posts_all` → personalized opener → `email_find_by_profile` - **Job-change triggers** — `search_job_changes` on target accounts, reach out the week they land - **Account research** — `companies_enrich` + `companies_employees_data` + `companies_jobs` → a briefing your agent writes itself Credit-based pricing, pay per call. Failed upstream calls are auto-refunded. Responses carry `_meta.credits_remaining` so

MCPMCPautonomy: workflow automation

Official Zooq links

Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Zooq good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
Niche
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

Zooq's local market

Nearest products by what they do.

See the full market →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "zooq",
  "name": "Zooq",
  "url": "https://zooq.dev",
  "logo": "https://agentery.com/logos/CP-TA6QZK-128.png",
  "niche": null,
  "category": null,
  "short_summary": "Live LinkedIn data for AI agents — 44 tools covering profiles, companies, jobs, posts, people search, job-change signals and email finding.\n\n**Your LinkedIn ac…",
  "task_performed": "Live LinkedIn data for AI agents — 44 tools covering profiles, companies, jobs, posts, people search, job-change signals and email finding.\n\n**Your LinkedIn account is never involved.** Most LinkedIn MCP servers borrow your logged-in session cookie, which puts your own account at ban risk and breaks whenever LinkedIn changes. ZOOQ runs on its own infrastructure — you paste one API key and your account stays out of it.\n\n**Free tier:** 300 credits, no card required — [zooq.dev/signup](https://zooq.dev/signup)\n\nTypical agent recipes:\n- **AI SDR** — `search_people` → `profile_enrich` → `posts_all` → personalized opener → `email_find_by_profile`\n- **Job-change triggers** — `search_job_changes` on target accounts, reach out the week they land\n- **Account research** — `companies_enrich` + `companies_employees_data` + `companies_jobs` → a briefing your agent writes itself\n\nCredit-based pricing, pay per call. Failed upstream calls are auto-refunded. Responses carry `_meta.credits_remaining` so",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "workflow automation",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": null,
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://zooq.dev"
  ],
  "last_checked": "2026-08-25",
  "how_to_connect": {
    "website": "https://zooq.dev",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": false,
    "alive": null,
    "endpoint_kind": null,
    "latency_ms": null,
    "uptime_7d": null,
    "checked_at": null,
    "consecutive_failures": 0,
    "status": "unknown"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}