{"uid":"cap_0TTlbtWFajTc-VfRmPOwy","slug":"product-feature-telemetry-two-measure-correlation-2a7957d1","name":"Product Feature Telemetry – Two-Measure Correlation","description":"Product feature telemetry - Two-measure correlation: Two-measure correlation 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 two-measure correlation report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-feature-telemetry-correlation?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}}},"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_NrkIyGSy8hWwwHH8KFdoU","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 two-measure correlation (events vs. unique_users) across up to 200 product feature telemetry records, returning a local descriptive analytics report with no enrichment or forecasting.","exampleAgentPrompt":"I have telemetry data for two product features — 'checkout-v2' and 'search-bar' — with daily event counts and unique user counts over the past week. Can you run a two-measure correlation report on those rows to see how tightly events and unique users move together?","exampleUseCases":[{"title":"Feature engagement correlation check","prompt":"I've got 30 days of telemetry for our 'recommendations' feature — each row has a date, event count, and unique users count. Can you run a two-measure correlation to tell me how closely those two metrics track each other?"},{"title":"Comparing two features side by side","prompt":"Here are 60 records for two features, 'dark-mode' and 'notifications', each with daily events and unique users. Run a correlation analysis on this data so I can see which feature shows a stronger relationship between usage volume and user reach."},{"title":"Validating a new feature rollout","prompt":"We just rolled out 'onboarding-flow' last month and I have 28 days of data with event and unique-user counts per day. Can you compute the two-measure correlation to see whether event spikes are tied to growth in unique users?"}],"resultDescription":"A bounded two-measure correlation report covering the submitted telemetry rows, including the statistical correlation between the 'events' and 'unique_users' measures, computed locally with no external enrichment or forecasting. Output is a self-contained descriptive analytics summary for the supplied dataset.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, feature, date, events, unique_users) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","Numeric fields out of allowed range — schema rejection","Payment not supplied or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you need a quick, local, descriptive correlation between two numeric product telemetry measures (events and unique users) on a small to medium dataset of up to 200 records, without requiring external enrichment, forecasting, or complex multi-measure analysis. It is ideal for product managers or analysts who want a bounded, cost-effective ($0.01 USDC) correlation report on feature usage data without exposing data to a heavy analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T18:48:35.013Z","isFirstParty":false,"canonicalSlug":"product-feature-telemetry-two-measure-correlation-2a7957d1"}