{"uid":"cap_BQIP4XSS8RjLlEhKIQDrE","slug":"duplicate-observations-string-normalisation-grouped-numeric-summary-260ec3fd","name":"Duplicate Observations — String Normalisation + Grouped Numeric Summary","description":"Duplicate observations — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary for supplied duplicate observations records (duplicate_rows, total_rows). 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-04-023?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","duplicate_rows","total_rows"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dataset_group":{"type":"string","default":"","maxLength":80},"duplicate_rows":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","total_rows":1,"dataset_group":"group-a","duplicate_rows":10},{"date":"2026-10-02","row_id":"row-2","total_rows":2,"dataset_group":"group-b","duplicate_rows":20},{"date":"2026-10-03","row_id":"row-3","total_rows":3,"dataset_group":"group-a","duplicate_rows":15},{"date":"2026-10-04","row_id":"row-4","total_rows":4,"dataset_group":"group-b","duplicate_rows":30}],"maxItems":200,"minItems":1},"field":{"enum":["duplicate_rows","total_rows"],"type":"string","default":"duplicate_rows"}}},"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_ohyyPRnSZHj0fj8hFwkR9","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":"Accepts up to 200 duplicate-observation records and produces two local analytical reports: string normalisation of labels/groups and a grouped numeric summary of duplicate_rows and total_rows metrics.","exampleAgentPrompt":"I have 50 records tracking duplicate rows across dataset groups like 'group-a' and 'group-b' with daily dates — can you normalize the group name strings and give me a grouped numeric summary of the duplicate_rows field across all of them?","exampleUseCases":[{"title":"ETL pipeline duplicate audit","prompt":"We ran a deduplication pass on our ingestion pipeline and logged 120 records with dataset_group, date, duplicate_rows, and total_rows. Can you normalize the group name strings and give me a grouped numeric summary of duplicate_rows so I can see which groups are worst?"},{"title":"Monthly data quality review","prompt":"Here are 80 daily observations from our data quality log — each has a row_id, date, dataset_group, duplicate_rows, and total_rows. Normalize the group labels and summarize the total_rows field grouped by dataset_group so I can build a quality report."},{"title":"Multi-team dataset dedup comparison","prompt":"I have records from four different dataset groups tracking how many duplicate rows appeared each day over the last month. Can you normalize the group name strings and produce a grouped numeric summary of both duplicate_rows and total_rows so I can compare teams?"}],"resultDescription":"Returns two analytical reports: (1) normalised string representations of the dataset_group labels and other string fields, and (2) a grouped numeric summary of the chosen field (duplicate_rows or total_rows) aggregated by dataset group — including statistics like counts, sums, and averages per group. All processing is local with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) causes validation error","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside ±1,000,000,000,000 range are rejected","Empty rows array fails minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you have up to 200 duplicate-observation records (with duplicate_rows and total_rows fields) and need both string normalisation of group labels and a grouped numeric summary in a single $0.01 call. Prefer it over general analytics tools when you want lightweight, offline, no-external-lookup analysis of duplicate counts grouped by dataset_group.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:19:32.173Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-string-normalisation-grouped-numeric-summary-260ec3fd"}