← Files CE Cosmos Deep DiveARCHIVED FILE

.codex-plugin/plugin.json

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{
  "apps": "./.app.json",
  "author": {
    "name": "consumeredge.com"
  },
  "description": "Cosmos brings Consumer Edge's transaction data directly into ChatGPT. Ask questions in plain English and get analyst-grade answers built on near-real-time spend data from millions of US credit and debit cards, covering thousands of brands and merchants \u2014 weeks ahead of company reporting. Work directly with transaction-level data to build custom cohorts, run price-point analyses, and answer questions aggregates can't.\n\nEach question runs through Cosmos, Consumer Edge's AI analytics engine, which selects the right metrics, handles panel weighting and merchant hierarchies, and returns a structured summary with the underlying data. Results come back as queryable tables, so ChatGPT can run follow-up analysis, calculate custom metrics, or build charts without re-querying.\n\n\nKey features:\n\nNatural language querying \u2014 no SQL or schema knowledge required; ask about brands, tickers, or merchant groups directly\n\nFull KPI coverage \u2014 spend, transactions, average ticket, unique shoppers, visit frequency, and new customer acquisition\n\nDemographic and cohort breakdowns \u2014 segment any brand's performance by customer income cohort\n\nFlexible time grains \u2014 daily, monthly, or quarterly trends, including quarter-to-date reads on partial periods\n\nAnalyst-ready output \u2014 answers flag accelerations, decelerations, calendar shifts, and partial-month caveats automatically\n\nUse it to:\n\nTrack brand performance ahead of earnings \u2014 monthly and quarter-to-date spend growth versus prior periods\n\nRun competitive benchmarking \u2014 compare KPIs and market share shifts across any set of brands\n\nAnalyze customer behavior \u2014 see where new customer growth comes from and whether cohorts are trading down\n\nSpot inflection points \u2014 decompose month-over-month changes into customer count, frequency, and ticket drivers\n\nRequires a Consumer Edge subscription with MCP access enabled.",
  "interface": {
    "capabilities": [],
    "category": "Business & Operations",
    "defaultPrompt": null,
    "developerName": "consumeredge.com",
    "displayName": "CE Cosmos Deep Dive",
    "longDescription": "Cosmos brings Consumer Edge's transaction data directly into ChatGPT. Ask questions in plain English and get analyst-grade answers built on near-real-time spend data from millions of US credit and debit cards, covering thousands of brands and merchants \u2014 weeks ahead of company reporting. Work directly with transaction-level data to build custom cohorts, run price-point analyses, and answer questions aggregates can't.\n\nEach question runs through Cosmos, Consumer Edge's AI analytics engine, which selects the right metrics, handles panel weighting and merchant hierarchies, and returns a structured summary with the underlying data. Results come back as queryable tables, so ChatGPT can run follow-up analysis, calculate custom metrics, or build charts without re-querying.\n\n\nKey features:\n\nNatural language querying \u2014 no SQL or schema knowledge required; ask about brands, tickers, or merchant groups directly\n\nFull KPI coverage \u2014 spend, transactions, average ticket, unique shoppers, visit frequency, and new customer acquisition\n\nDemographic and cohort breakdowns \u2014 segment any brand's performance by customer income cohort\n\nFlexible time grains \u2014 daily, monthly, or quarterly trends, including quarter-to-date reads on partial periods\n\nAnalyst-ready output \u2014 answers flag accelerations, decelerations, calendar shifts, and partial-month caveats automatically\n\nUse it to:\n\nTrack brand performance ahead of earnings \u2014 monthly and quarter-to-date spend growth versus prior periods\n\nRun competitive benchmarking \u2014 compare KPIs and market share shifts across any set of brands\n\nAnalyze customer behavior \u2014 see where new customer growth comes from and whether cohorts are trading down\n\nSpot inflection points \u2014 decompose month-over-month changes into customer count, frequency, and ticket drivers\n\nRequires a Consumer Edge subscription with MCP access enabled.",
    "privacyPolicyURL": "https://www.consumeredge.com/privacy-policy/",
    "shortDescription": "Granular access to CE data",
    "supportURL": "https://www.consumeredge.com/about-us/contact-us/",
    "termsOfServiceURL": "https://www.consumeredge.com/terms-of-use/",
    "websiteURL": "https://consumeredge.com"
  },
  "name": "app-6a631f1b9dc88191a576ad6f8251cde4",
  "version": "2.0.0"
}

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