{"uid":"cap_Z4dLQRAesxOzaseDEjkBy","slug":"data-reconciliation-string-normalisation-equal-width-histogram-61163a60","name":"Data Reconciliation: String Normalisation + Equal-Width Histogram","description":"Data reconciliation — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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-11-031?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","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_8aY1jpMRWFClANtPlugf9","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 reconciliation data: string normalisation of row fields and an equal-width histogram over a chosen numeric column (source_total or target_total), for up to 200 rows.","exampleAgentPrompt":"I have 50 reconciliation rows with source_total and target_total values across two dataset groups from October 2026 — can you normalize the string fields and generate a 10-bin equal-width histogram over the source_total column?","exampleUseCases":[{"title":"Auditing financial reconciliation spread","prompt":"I've got 120 rows of daily source and target totals for our finance reconciliation — can you run a 5-bin histogram on source_total and normalize all the string fields so I can see how the values are distributed?"},{"title":"Spotting label inconsistencies in grouped data","prompt":"My reconciliation export has messy dataset_group and row_id labels across 80 rows — normalize the strings and give me an equal-width histogram of target_total with 8 bins so I can spot any outliers."},{"title":"Cross-group distribution check for two totals","prompt":"For these 30 reconciliation records split across group-a and group-b from Q4 2026, run the string normalization and a 5-bin histogram on source_total so I can see if the groups have similar distributions."}],"resultDescription":"Returns two analytical reports: (1) a string normalization report cleaning row_id, dataset_group, and date fields across all submitted rows, and (2) an equal-width histogram report showing bin edges, counts, and frequency distribution for the selected numeric column (source_total or target_total), across up to 200 rows. No external lookups or predictions are made.","failureModes":["Rows array empty or missing — validation error returned","More than 200 rows submitted — rejected with maxItems error","Invalid date format (not YYYY-MM-DD) — schema validation failure","bin count outside 1–30 range — rejected with min/max constraint error","source_total or target_total values outside ±1,000,000,000,000 — rejected","field value not one of 'source_total' or 'target_total' — enum validation error","Missing required row fields (row_id, dataset_group, date) — validation failure"],"whenToPreferThis":"Choose this endpoint when you need fast, local analytical processing of reconciliation data combining string normalization with histogram analysis in a single call. Ideal when you have up to 200 rows of source/target reconciliation records and want both data quality cleanup and a frequency distribution summary without any external lookups, live predictions, or professional assessments. Good value when you need two distinct reports for a flat $0.01 USDC fee.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:20.065Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-string-normalisation-equal-width-histogram-61163a60"}