{"uid":"cap_agCPHCqLRcjhgBOKDZ8Bm","slug":"data-freshness-analytics-string-normalisation-secondary-measure-3f209d1c","name":"Data Freshness Analytics: String Normalisation + Secondary-Measure Weighted Mean","description":"Data freshness — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied data freshness records (age_minutes, record_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-analytics-06-034?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","age_minutes","record_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"age_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"record_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","age_minutes":10,"record_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","age_minutes":20,"record_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","age_minutes":15,"record_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","age_minutes":30,"record_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["age_minutes","record_count"],"type":"string","default":"age_minutes"}}},"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_wfomWFeh9muAX9OuS3gz_","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 string normalisation and secondary-measure weighted mean analytics on data freshness records (age_minutes, record_count) for up to 200 rows, returning 2 independent reports.","exampleAgentPrompt":"Run string normalisation and secondary-measure weighted mean analytics on my data freshness records — I have rows with age_minutes and record_count across groups 'group-a' and 'group-b' dated from 2026-10-01 to 2026-10-04, and I want the analysis run on the age_minutes field.","exampleUseCases":[{"title":"Pipeline freshness audit by group","prompt":"I have 50 data freshness records with age_minutes and record_count across two dataset groups — can you run string normalisation and weighted mean reports on the age_minutes field so I can see how stale each group's data is?"},{"title":"Record count weighted mean across dates","prompt":"Analyse these 120 data freshness rows for me: compute the string normalisation and secondary-measure weighted mean on record_count, grouped by dataset_group and date, so I can spot which groups have the heaviest recent load."},{"title":"Data quality baseline for monitoring","prompt":"I need two analytical reports — string normalisation and a weighted mean on age_minutes — for this batch of 80 freshness records spread across groups 'prod' and 'staging' to establish a data quality baseline."}],"resultDescription":"Returns 2 independent analytical reports: (1) a string normalisation report and (2) a secondary-measure weighted mean report, computed from the supplied data freshness rows (age_minutes and record_count values) — all processed locally with no external lookups or predictions.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, dataset_group, date, age_minutes, record_count) causes rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Null values in both age_minutes and record_count simultaneously may produce incomplete statistics","minItems:1 violation if empty array is submitted"],"whenToPreferThis":"Choose this endpoint when you need fast, self-contained string normalisation and weighted mean analytics on data freshness records (age_minutes, record_count) without any external lookup, live data fetch, or prediction. Ideal for batch analytical reporting on up to 200 rows where two independent reports are needed in a single low-cost ($0.01 USDC) call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T07:14:44.563Z","isFirstParty":false,"canonicalSlug":"data-freshness-analytics-string-normalisation-secondary-measure-3f209d1c"}