{"uid":"cap_co6KtWxDs3k8mgIs9fI5_","slug":"data-reconciliation-equal-width-histogram-iqr-outlier-flags-9ceb1668","name":"Data Reconciliation — Equal-Width Histogram + IQR Outlier Flags","description":"Data reconciliation — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags for supplied data reconciliation records (source_total, target_total). 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-11-170?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","source_total","target_total"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"source_total":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"target_total":{"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","source_total":10,"target_total":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","source_total":20,"target_total":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","source_total":15,"target_total":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","source_total":30,"target_total":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["source_total","target_total"],"type":"string","default":"source_total"}}},"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_cEop8XR5PU4tA3IuKH0Nj","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":"Generates an equal-width histogram and IQR-based outlier flags for source_total or target_total fields across up to 200 data reconciliation records, returning two independent analytical reports.","exampleAgentPrompt":"Can you analyze the distribution and flag any IQR outliers in these 50 reconciliation rows — use source_total as the field and split into 10 equal-width bins? I'll pass the rows with their row_id, dataset_group, and date.","exampleUseCases":[{"title":"Detect outliers in financial reconciliation","prompt":"I have 120 daily reconciliation records with source_total and target_total values — can you build an equal-width histogram with 8 bins and flag any IQR outliers on the source_total field so I can see which rows are anomalies?"},{"title":"Audit target totals across dataset groups","prompt":"Here are 80 reconciliation rows across two dataset groups. Can you analyze the target_total field using 5 bins and IQR outlier detection so I can see if any groups have unusually high or low values?"},{"title":"QA pipeline data before monthly close","prompt":"Before we close the books, I need to check these 200 reconciliation records for distributional anomalies — run the equal-width histogram with 10 bins and IQR outlier flags on source_total so I can spot anything out of range."}],"resultDescription":"Returns two independent analytical reports: (1) an equal-width histogram showing how values are distributed across the specified number of bins, and (2) a list of rows flagged as outliers based on the interquartile range (IQR) method — all computed locally without external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","Missing required fields (row_id, source_total, target_total, dataset_group, date) causes schema error","bin count outside 1–30 range returns validation error","null values in the selected numeric field may affect IQR computation","Malformed JSON body returns 400 error"],"whenToPreferThis":"Choose this endpoint when you need fast, local statistical analysis of reconciliation data — specifically equal-width histogram binning combined with IQR outlier detection — on datasets up to 200 rows, without requiring external data lookups, predictions, or professional assessments. It is ideal for data quality checks, pre-close audits, and anomaly detection on source/target financial totals.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:08.157Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-equal-width-histogram-iqr-outlier-flags-9ceb1668"}