{"uid":"cap_3QUrGJkgog47VOxMvVXC7","slug":"duplicate-observations-record-quality-audit-equal-width-histogram-9467341c","name":"Duplicate Observations — Record Quality Audit + Equal-Width Histogram","description":"Duplicate observations — Record quality audit + Equal-width histogram: Record quality audit + 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-04-013?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_UNFust2hOCF0Almm27Cx0","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 two local analytical reports on duplicate-observation data: a record quality audit and an equal-width histogram over up to 200 supplied rows.","exampleAgentPrompt":"Can you run a record quality audit and equal-width histogram on my duplicate observation data? I have 4 rows — row-1 on 2026-10-01 in group-a with 10 duplicate_rows out of 1 total, row-2 on 2026-10-02 in group-b with 20 out of 2, row-3 on 2026-10-03 in group-a with 15 out of 3, and row-4 on 2026-10-04 in group-b with 30 out of 4 — use 5 bins and analyze the duplicate_rows field.","exampleUseCases":[{"title":"Daily deduplication pipeline quality check","prompt":"I need a record quality audit and histogram for yesterday's deduplication run — here are 6 rows across two dataset groups with their duplicate_rows and total_rows counts per date, use 10 bins and focus on the duplicate_rows field."},{"title":"Monthly data integrity review across groups","prompt":"Can you audit these 50 duplicate observation records from last month, split across dataset groups alpha and beta, and generate an equal-width histogram with 8 bins on the total_rows field so I can see the distribution?"},{"title":"Spot-check new dataset for duplicate anomalies","prompt":"I just ingested a new dataset and want to spot-check it for duplicate issues — run a quality audit and 5-bin histogram on these 15 rows of duplicate_rows and total_rows values grouped by region and date."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit summarizing completeness, validity, and anomalies across the supplied duplicate-observation rows, and (2) an equal-width histogram bucketing the chosen field (duplicate_rows or total_rows) into the specified number of bins with counts per bin. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected","Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error","Date field not matching YYYY-MM-DD pattern — schema validation failure","bins value outside 1–30 range — rejected","Empty rows array — minimum 1 item required","Non-numeric values in duplicate_rows or total_rows where numbers are expected — type error"],"whenToPreferThis":"Choose this endpoint when you need two simultaneous analytical reports (quality audit + histogram) on duplicate-observation tabular data without any external API calls, predictions, or live lookups. It is ideal for data engineering pipelines, ETL quality gates, or one-off data integrity checks where you supply the raw duplicate_rows and total_rows metrics and want a quick, cheap ($0.01 USDC) local analysis covering up to 200 rows across multiple dataset groups and dates.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:01.969Z","isFirstParty":false,"canonicalSlug":"duplicate-observations-record-quality-audit-equal-width-histogram-9467341c"}