.codex-plugin/plugin.json

{
  "apps": "./.app.json",
  "author": {
    "name": "Placer.ai"
  },
  "description": "Placer.ai Pi answers business questions that turn on measured real-world behavior. Ask a full analytical question in plain language and Pi runs a complete Placer.ai analysis - foot traffic trends, visitor demographics and journeys, trade areas, cross-shopping, and sales and spend - then returns a written answer with data-honesty caveats, any web sources it used, and a deep link that opens the same analysis, with its interactive map, in Pi. A full analysis normally takes several minutes: ask_pi starts it and returns a handle, and get_pi_result collects the answer, reporting progress while the work runs. Typical workflows include store and portfolio performance, trade-area and site analysis, competitive benchmarking, tenant mix and co-tenancy review, market feasibility, and category or market-share tracking. Follow-up questions can reuse a previous analysis so the numbers stay consistent across a conversation. Access requires a Placer.ai account with Pi and the MCP access entitlement; Pi returns only the data the signed-in Placer user is entitled to see.",
  "interface": {
    "capabilities": [],
    "category": "Business & Operations",
    "defaultPrompt": null,
    "developerName": "Placer.ai",
    "displayName": "Pi by Placer.ai",
    "longDescription": "Placer.ai Pi answers business questions that turn on measured real-world behavior. Ask a full analytical question in plain language and Pi runs a complete Placer.ai analysis - foot traffic trends, visitor demographics and journeys, trade areas, cross-shopping, and sales and spend - then returns a written answer with data-honesty caveats, any web sources it used, and a deep link that opens the same analysis, with its interactive map, in Pi. A full analysis normally takes several minutes: ask_pi starts it and returns a handle, and get_pi_result collects the answer, reporting progress while the work runs. Typical workflows include store and portfolio performance, trade-area and site analysis, competitive benchmarking, tenant mix and co-tenancy review, market feasibility, and category or market-share tracking. Follow-up questions can reuse a previous analysis so the numbers stay consistent across a conversation. Access requires a Placer.ai account with Pi and the MCP access entitlement; Pi returns only the data the signed-in Placer user is entitled to see.",
    "privacyPolicyURL": "https://www.placer.ai/privacy-policy/platform-services-privacy-policy",
    "shortDescription": "Physical world, answered",
    "supportURL": "https://www.placer.ai/company/contact-us",
    "termsOfServiceURL": "https://www.placer.ai/placer-license-agreement",
    "websiteURL": "https://placer.ai"
  },
  "name": "app-6a7b5a0c6f5c8191978777f40f445540",
  "version": "1.0.1"
}