Organic growth or hype in AI/software?
pytorch · Open Source Ecosystem
Top drivers
⌁ mcp.call("adw-008") View → downloads vs stars/issues divergence → driver label
Version v1.2 · validated to beat a naive baseline · benchmark: GitHub raw (free); no packaged competitor
One call returns the answer with its reasoning attached. This is the live sample from build/samples/ADW-008.json.
{
"product_id": "ADW-008",
"entity": "pytorch",
"score": 0.91,
"trend": "strong",
"confidence": 0.96,
"top_drivers": [
{
"factor": "Model Release Velocity",
"contribution": 0.45
},
{
"factor": "GitHub Star Growth",
"contribution": 0.3
}
],
"prediction_horizon": "30d",
"recommended_use": "Tech stack selection",
"methodology_version": "v1.2",
"freshness": "2026-06-19T06:00:00Z",
"coverage": "Open Source Ecosystem",
"health_score": 0.91,
"primary_driver_label": "AI Research Adoption",
"download_trend": "increasing",
"engagement_trend": "high",
"source_lineage": [
"GitHub",
"npm",
"PyPI"
],
"allowed_use": "evaluation, commercial"
}Every product conforms to the 13-field Intelligence Object Model — typed, versioned, and discoverable.
Dashboard
Read the score + drivers in the console.
REST API
/v1/intelligence/adw-008
MCP tool
adw.adw_008
Marketplace
List via data marketplaces + the MCP registry.
White-label
Embed under your own brand (Platinum).