{"name":"Tellumen Data Management Agent","description":"Four skills for small-business data: (1) scans a business's public website for data-tracking gaps, (2) audits a CSV export for data-quality issues and scores it, (3) computes period-over-period KPI changes from two sales exports, (4) turns those numbers into chart-ready data plus a short plain-English narrative.","protocolVersion":"0.3.0","version":"0.4.0","url":"https://tellumen-a2a-agent.onrender.com/a2a/jsonrpc","provider":{"organization":"Tellumen","url":"https://tellumen.vercel.app"},"documentationUrl":"https://github.com/e1zurc/tellumen-a2a-agent","skills":[{"id":"scan-business-site","name":"Scan Business Site","description":"Input: plain text \"url\" or \"url, category\". Returns a structured data-readiness finding for that business, plus a real benchmark against other businesses of the same type (ecommerce vs. service) scanned so far — e.g. \"62% of similar businesses have analytics installed\" — computed from an aggregate database of real scans, not available to a general-purpose agent.","tags":["data","audit","small-business","website","benchmark"]},{"id":"audit-csv-data","name":"Audit CSV Data","description":"Input: JSON text {\"business\": \"name\", \"csv\": \"raw csv text\"}. Returns a data-quality score, column profile, duplicates, outliers, and date-coverage gaps computed from the real values in the file.","tags":["data","audit","csv","data-quality"]},{"id":"analyze-kpi-trend","name":"Analyze KPI Trend","description":"Input: JSON text {\"client\": \"name\", \"currentCsv\": \"raw csv\", \"priorCsv\": \"raw csv (optional)\"}. CSV schema: Date, Customer, Product, Quantity, Amount. Returns computed KPIs (revenue, orders, avg order value, repeat-customer rate, top product) and, if priorCsv is given, the period-over-period percent change in each.","tags":["data","kpi","analytics","csv"]},{"id":"tell-data-story","name":"Tell Data Story","description":"Input: JSON text {\"skill\": \"tell-data-story\", \"client\": \"name\", \"currentCsv\": \"raw csv\", \"priorCsv\": \"raw csv (optional)\"} — the \"skill\" field is required to disambiguate from analyze-kpi-trend, which takes the same CSV fields. Returns chart-ready data (labels/series/suggested type — not a rendered image) plus a short plain-English narrative. The narrative uses an AI call and can occasionally be unavailable (reported honestly as narrativeError); the chart data and KPIs never depend on it.","tags":["data","visualization","storytelling","kpi"]}],"capabilities":{"pushNotifications":false},"defaultInputModes":["text"],"defaultOutputModes":["text"]}