Agentery pricing intelligence · MCP server profile · GenPark Influencer Campaign Brief Builder
MCP server profile · independently tracked by Agentery
GenPark Influencer Campaign Brief Builder logo

GenPark Influencer Campaign Brief Builder

↗ github.com/alphaparkinc/genpark-influencer-campaign-brief-builder-skill official repository

An AI agent skill and MCP server that builds structured influencer campaign briefs from campaign goals, target audience, budget, and deliverables.

MCP serverSource repositoryRepository checked daily
Agentery price verdictNo pricing observedsource repository
SourcePublic repositorylicence not verified
Connection modelMCP serverMCP clients
Last observation—pricing pages rechecked daily
Website liveness18 Oct 2026alive · separate from pricing

What it does

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

GenPark Influencer Campaign Brief Builder

An AI agent skill and MCP server that builds structured influencer campaign briefs from campaign goals, target audience, budget, and deliverables.

MCP

Official GenPark Influencer Campaign Brief Builder links

Price status · observed daily

Source repository available · no commercial pricing observed.

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

MCP

Is GenPark Influencer Campaign Brief Builder good value?

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

Source repository

Source repository available · no commercial pricing observed.

A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.

Observed commercial pricenone
Hosting model—
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.

GenPark Influencer Campaign Brief Builder's local market

Nearest products by what they do — a different cohort from the buyer-tier benchmark above.

See the full market →
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
  "agent_id": "genpark_influencer_brief",
  "name": "GenPark Influencer Campaign Brief Builder",
  "url": "https://github.com/alphaparkinc/genpark-influencer-campaign-brief-builder-skill",
  "logo": "https://github.com/alphaparkinc.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "An AI agent skill and MCP server that builds structured influencer campaign briefs from campaign goals, target audience, budget, and deliverables.",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [],
  "autonomy_level": "unclear",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public pricing is shown for this open-source GitHub repository.",
    "confidence": "medium",
    "source_url": "https://github.com/alphaparkinc/genpark-influencer-campaign-brief-builder-skill",
    "checked_at": "2026-10-16T01:51:06.378Z",
    "source_kind": "vendor",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "mcp_server",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://github.com/alphaparkinc/genpark-influencer-campaign-brief-builder-skill"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://github.com/alphaparkinc/genpark-influencer-campaign-brief-builder-skill",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "install": null,
    "repository": "https://github.com/alphaparkinc/genpark-influencer-campaign-brief-builder-skill",
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "deployment": {
    "model": "unknown",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": null,
    "note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
    "evidence": {
      "sources": [
        "page_text:licence"
      ],
      "excerpt": null,
      "url": "https://github.com/alphaparkinc/genpark-influencer-campaign-brief-builder-skill",
      "observed_day": "2026-10-17",
      "age_days": 2,
      "hosted_evidence": null,
      "rule": "deploy-v1"
    }
  },
  "licence": {
    "name": "MIT",
    "note": "Named licence as published; applies to the code, not to where it runs.",
    "evidence": "page text: \"gt; C[Ranked structured output] Loading MIT licensed. Python 3.9+ standard libra\"",
    "observed_day": "2026-10-17",
    "age_days": 2
  },
  "evidence_checks": {
    "price": {
      "source_url": "https://github.com/pricing",
      "last_observed_day": "2026-09-20",
      "age_days": 29,
      "verified_day": null,
      "note": "not verified by the page-text gate"
    },
    "agent_card": {
      "status": "unknown",
      "note": "no Agent Card URL recorded for this listing"
    },
    "endpoint": {
      "status": "unknown",
      "note": "endpoint not yet checked"
    }
  },
  "product_group": null,
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 606,
    "uptime_7d": 1,
    "checked_at": "2026-10-18T02:35:57.834Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}