Agentery pricing intelligence · MCP server profile · GenPark Screen Zero Ambient Intent Scorer
MCP server profile · independently tracked by Agentery
GenPark Screen Zero Ambient Intent Scorer logo

GenPark Screen Zero Ambient Intent Scorer

↗ github.com/Alpha-Park/genpark-screen-zero-ambient-intent-scorer-skill official repository

An open-source Python MCP server and agent skill that evaluates lock-screen micro-moments, gaze attention, and ambient context to estimate shopping intent and…

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 liveness28 Oct 2026alive · separate from pricing

What it does

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

GenPark Screen Zero Ambient Intent Scorer

An open-source Python MCP server and agent skill that evaluates lock-screen micro-moments, gaze attention, and ambient context to estimate shopping intent and…

Agentery has not yet captured structured capability detail for this provider.

Official GenPark Screen Zero Ambient Intent Scorer 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 Screen Zero Ambient Intent Scorer 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 Screen Zero Ambient Intent Scorer'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_intent_scorer",
  "name": "GenPark Screen Zero Ambient Intent Scorer",
  "url": "https://github.com/Alpha-Park/genpark-screen-zero-ambient-intent-scorer-skill",
  "logo": "https://github.com/Alpha-Park.png?size=200",
  "niche": null,
  "category": null,
  "short_summary": "An open-source Python MCP server and agent skill that evaluates lock-screen micro-moments, gaze attention, and ambient context to estimate shopping intent and…",
  "task_performed": "unclear",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [],
  "protocols_or_interfaces": [],
  "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 for this repository or skill is shown in the supplied page content.",
    "confidence": "medium",
    "source_url": "https://github.com/Alpha-Park/genpark-screen-zero-ambient-intent-scorer-skill",
    "checked_at": "2026-10-28T01:59:18.316Z",
    "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/Alpha-Park/genpark-screen-zero-ambient-intent-scorer-skill",
    "https://github.com/alphaparkinc/genpark-screen-zero-ambient-intent-scorer-skill"
  ],
  "last_checked": "2026-10-28",
  "profile_checked": null,
  "price_checked": "2026-10-28",
  "how_to_connect": {
    "website": "https://github.com/Alpha-Park/genpark-screen-zero-ambient-intent-scorer-skill",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [],
    "install": null,
    "repository": "https://github.com/Alpha-Park/genpark-screen-zero-ambient-intent-scorer-skill"
  },
  "deployment": {
    "model": "self_hosted",
    "both_offered": false,
    "hosted_endpoint": null,
    "install": null,
    "note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
    "evidence": {
      "sources": [
        "page_text:self_run_wording",
        "page_text:licence"
      ],
      "excerpt": "cies None (0 packages) Protocol Compatibility Anthropic Model Context Protocol (MCP) STDIO JSON-RPC 2.0 Architecture Paradigm Pure Functional & Mathematical Modeling",
      "url": "https://github.com/Alpha-Park/genpark-screen-zero-ambient-intent-scorer-skill",
      "observed_day": "2026-10-27",
      "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: \"-dependency zero-query Resources Readme MIT license Activity Custom properties S\"",
    "observed_day": "2026-10-27",
    "age_days": 2
  },
  "evidence_checks": {
    "price": {
      "status": "unknown",
      "note": "no observed price page text held for this listing"
    },
    "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": 626,
    "uptime_7d": 1,
    "checked_at": "2026-10-28T02:37:01.830Z",
    "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."
}