{"uid":"cap_qDPxmhz-ZgZwVsxHZZxJB","slug":"product-feature-telemetry-numeric-distribution-07e507f0","name":"Product Feature Telemetry – Numeric Distribution","description":"Product feature telemetry - Numeric distribution: Numeric distribution for Product feature telemetry. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded numeric distribution report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-feature-telemetry-describe?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","feature","date","events","unique_users"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"events":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"feature":{"type":"string","default":"","maxLength":80},"unique_users":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","events":10,"row_id":"row-1","feature":"group-a","unique_users":1},{"date":"2026-10-02","events":20,"row_id":"row-2","feature":"group-b","unique_users":2},{"date":"2026-10-03","events":15,"row_id":"row-3","feature":"group-a","unique_users":3},{"date":"2026-10-04","events":30,"row_id":"row-4","feature":"group-b","unique_users":4}],"maxItems":200,"minItems":1},"field":{"enum":["events","unique_users"],"type":"string","default":"events"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_uU1bSY5EncOz4DQ6dmWmh","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes a descriptive numeric distribution report (histogram, percentiles, summary stats) over up to 200 product feature telemetry records for a chosen metric field.","exampleAgentPrompt":"Can you compute the numeric distribution for my product feature telemetry? I have 4 rows: row-1 on 2026-10-01 with 10 events and 1 unique user for group-a, row-2 on 2026-10-02 with 20 events and 2 unique users for group-b, row-3 on 2026-10-03 with 15 events and 3 unique users for group-a, row-4 on 2026-10-04 with 30 events and 4 unique users for group-b — run the distribution analysis on the events field.","exampleUseCases":[{"title":"Feature engagement spread analysis","prompt":"I've got daily telemetry for two features — checkout and onboarding — over the last 30 days, up to 200 rows, with event counts and unique users per day. Can you give me the numeric distribution of the events field so I see how spread out engagement is?"},{"title":"Unique user distribution by feature group","prompt":"Here are my feature telemetry records for group-a and group-b across October — each row has a date, events, and unique_users. Run a numeric distribution on the unique_users field so I can see the percentiles and spread."},{"title":"Identifying skew in low-traffic features","prompt":"I'm seeing some features with very low usage and want to understand the shape of the distribution. Can you run a descriptive numeric distribution on these 50 telemetry rows using the events field and tell me if there's any significant skew or outliers?"}],"resultDescription":"A bounded descriptive numeric distribution report covering the selected metric field (events or unique_users) across the submitted telemetry rows. Includes summary statistics such as min, max, mean, median, percentiles, and frequency distribution — all computed locally with no external enrichment or forecasting.","failureModes":["Fewer than 1 row submitted — validation error","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) — pattern validation failure","Invalid field value (not 'events' or 'unique_users') — enum validation error","Missing required fields (row_id, feature, date, events, unique_users) — schema error","Payment not included or insufficient — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 product feature telemetry records and need a fast, local descriptive numeric distribution (percentiles, histogram, summary stats) for either the events or unique_users field — with no need for forecasting, enrichment, or external data. Ideal for lightweight analytics pipelines or agent workflows where a bounded statistical profile per feature is sufficient.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:03.030Z","isFirstParty":false,"canonicalSlug":"product-feature-telemetry-numeric-distribution-07e507f0"}