{"uid":"cap_qbUBLpgH55uJqZ84n0MKt","slug":"product-feature-telemetry-base-100-index-series-c578868c","name":"Product Feature Telemetry – Base-100 Index Series","description":"Product feature telemetry - Base-100 series: Base-100 series 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 base-100 series report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-feature-telemetry-index?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_i6uGG5OEEME5GpY_YsbJK","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 base-100 index series from product feature telemetry rows, normalizing events or unique-user counts relative to a chosen baseline row for local descriptive analytics.","exampleAgentPrompt":"Can you run a base-100 index on my feature telemetry data — I have daily event counts for features 'checkout-v2' and 'dashboard' from Oct 1 to Oct 7, and I want to index everything against the first row using the 'events' field?","exampleUseCases":[{"title":"Feature launch growth comparison","prompt":"I launched two features last quarter and want to compare how quickly each grew. I have daily event counts for 'search-v2' and 'filters-beta' across 60 days — can you index both to 100 starting from day 1 so I can see relative growth side by side?"},{"title":"User adoption baseline report","prompt":"Can you take my product telemetry for the 'onboarding-flow' feature — daily unique_users from January through March — and produce a base-100 index report anchored to January 1st so I can see adoption trends as a percentage of that starting point?"},{"title":"Multi-feature engagement normalization","prompt":"I have four features with wildly different absolute user counts and I want to normalize them all to a base-100 scale using the 'unique_users' field, anchored at row index 0, so I can fairly compare engagement trajectories across features."}],"resultDescription":"Returns a bounded base-100 index series report for up to 200 typed telemetry rows. Each row's selected metric (events or unique_users) is normalized relative to the designated base index row, yielding indexed values that express change relative to 100 at the baseline. The output is a local descriptive analytics result with no enrichment, forecasting, or external data.","failureModes":["Fewer than 1 row supplied — rejected by minItems validation","base_index references a row position outside the supplied array — rejected by maximum constraint","Date strings not matching YYYY-MM-DD pattern — schema validation error","More than 200 rows supplied — rejected by maxItems limit","Invalid field enum value (not 'events' or 'unique_users') — schema error","Null metric values at the base index row may produce undefined or divide-by-zero results"],"whenToPreferThis":"Choose this endpoint when you have up to 200 typed product feature telemetry records and need a relative, base-100 indexed view of event counts or unique-user counts over time — without any forecasting, enrichment, or external data. Ideal for descriptive trend comparison across features where absolute numbers differ greatly and a normalized scale is needed for fair comparison.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:48.960Z","isFirstParty":false,"canonicalSlug":"product-feature-telemetry-base-100-index-series-c578868c"}