{"uid":"cap_ykFdrwFEn1CitFV4bmEkA","slug":"duplicate-observations-analytics-string-normalisation-equal-width-92dc83da","name":"Duplicate Observations Analytics: String Normalisation + Equal-Width Histogram","description":"Duplicate observations — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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-04-031?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_f-wRllX85BWKmHTGiUcsC","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":"Runs string normalisation and equal-width histogram analysis on up to 200 duplicate-observation records (duplicate_rows, total_rows) using local analytical engines with no external lookups.","exampleAgentPrompt":"Analyze my duplicate observation data — I have records with duplicate_rows and total_rows fields across groups like 'group-a' and 'group-b' — run string normalisation and an equal-width histogram on the duplicate_rows field using 10 bins for up to 50 rows.","exampleUseCases":[{"title":"Data quality profiling for ETL pipeline","prompt":"I have 120 records from my ETL pipeline with duplicate_rows and total_rows counts per dataset group and date — can you run string normalisation and a 5-bin equal-width histogram on the duplicate_rows field so I can understand the distribution of duplicates?"},{"title":"Comparing duplicate rates across dataset groups","prompt":"I want to see how total_rows is distributed across my dataset groups — can you run string normalisation and a 10-bin histogram on the total_rows field for these 80 duplicate observation records?"},{"title":"Spotting outlier duplicate counts in time-series data","prompt":"I've got daily duplicate observation records from October 2026 covering two groups, and I want a histogram with 8 bins on duplicate_rows to spot any outlier days — can you run the string normalisation and equal-width histogram reports on them?"}],"resultDescription":"Returns two analytical reports: (1) a string normalisation report covering the dataset_group and related text fields, and (2) an equal-width histogram report for the selected numeric field (duplicate_rows or total_rows) divided into the specified number of bins — all computed locally with no external data sources.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) on any row — validation error","Date field does not match YYYY-MM-DD pattern — validation error","Bins value outside 1–30 range — validation error","Numeric fields outside ±1,000,000,000,000 range — validation error","Field enum value not 'duplicate_rows' or 'total_rows' — validation error"],"whenToPreferThis":"Choose this endpoint when you have pre-collected duplicate observation records (with duplicate_rows and total_rows counts per dataset group and date) and need two fast, local analytical reports — string normalisation plus an equal-width histogram — without any live data lookup, ML prediction, or external API calls. Ideal for data quality workflows, ETL audits, or profiling batch exports at low cost ($0.01 for both reports on up to 200 rows).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-20T07:13:24.501Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-analytics-string-normalisation-equal-width-92dc83da"}