{"uid":"cap_HUOsLTkHHehKbphCHEBjY","slug":"product-feature-telemetry-secondary-measure-weighted-mean-a8778813","name":"Product Feature Telemetry - Secondary-Measure Weighted Mean","description":"Product feature telemetry - Secondary-measure weighted mean: Secondary-measure weighted mean 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 secondary-measure weighted mean report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-feature-telemetry-weighted-average?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_iODW08kOr5yZ9GgM_oaI9","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 secondary-measure weighted mean (e.g. events weighted by unique_users) across product feature telemetry records, returning a local descriptive analytics report.","exampleAgentPrompt":"Can you compute the secondary-measure weighted mean for my product feature telemetry — I have 4 rows of daily data: feature 'group-a' on 2026-10-01 with 10 events and 1 unique user, 'group-b' on 2026-10-02 with 20 events and 2 unique users, 'group-a' on 2026-10-03 with 15 events and 3 unique users, and 'group-b' on 2026-10-04 with 30 events and 4 unique users — weight the 'events' field by unique_users?","exampleUseCases":[{"title":"Weekly feature usage weighted summary","prompt":"I have a week of product telemetry — each row has a feature name, date, events fired, and unique users. Can you run a secondary-measure weighted mean on the events field, weighting by unique_users, so I know which features are most actively used relative to user count?"},{"title":"Compare two features by weighted event rate","prompt":"I've got 10 days of telemetry rows for two features, 'checkout-v2' and 'checkout-v1', each with daily event counts and unique user counts. Please compute the secondary-measure weighted mean on events weighted by unique_users so I can compare the two."},{"title":"Daily rollup for product analytics dashboard","prompt":"Here are 50 telemetry records from our product — each has a row_id, feature, date, events, and unique_users. Can you give me the weighted mean of unique_users, using events as the secondary measure, for our analytics dashboard?"}],"resultDescription":"A bounded descriptive analytics report containing the secondary-measure weighted mean of the chosen field (events or unique_users), calculated across up to 200 supplied product feature telemetry records, with no external enrichment or forecasting.","failureModes":["Empty or missing rows array returns validation error","More than 200 rows supplied exceeds maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in numeric fields may affect mean calculation","Invalid field enum value (not 'events' or 'unique_users') causes rejection","Payment of 0.01 USDC not fulfilled causes 402 error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 product feature telemetry records and need a secondary-measure weighted mean as a local, self-contained descriptive statistic — no ML, forecasting, or external data enrichment required. Prefer this over general-purpose analytics tools when you want a cost-effective ($0.01 USDC), bounded computation on structured daily feature usage data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:49.545Z","isFirstParty":false,"canonicalSlug":"product-feature-telemetry-secondary-measure-weighted-mean-a8778813"}