{"uid":"cap_I88U_xWL_iC1Ibdik2MwC","slug":"data-reconciliation-analytics-equal-width-histogram-date-by-category-317bffbb","name":"Data Reconciliation Analytics: Equal-Width Histogram + Date-by-Category Pivot","description":"Data reconciliation — Equal-width histogram + Date by category pivot: Equal-width histogram + Date by category pivot 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-11-173?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_E-6TaQ8xq4GSv_BwpLtMW","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 two analytical reports for data reconciliation records — an equal-width histogram of a chosen numeric field and a date-by-category pivot table — for up to 200 rows of source/target totals.","exampleAgentPrompt":"Analyze my reconciliation data — I have 50 rows with source_total and target_total values grouped by dataset_group and date. Run the equal-width histogram on source_total using 10 bins and give me the date-by-category pivot too.","exampleUseCases":[{"title":"ETL pipeline source vs target audit","prompt":"I've got 120 reconciliation records from last month's ETL run with source_total and target_total for each row, grouped into 'finance' and 'ops' dataset groups. Can you run a histogram of source_total with 8 bins and a date-by-category pivot so I can see where the mismatches are clustering?"},{"title":"Data warehouse daily total distribution","prompt":"Here are 80 rows from our data warehouse reconciliation check — each has a date, a dataset_group like 'sales' or 'returns', and both source_total and target_total. Please compute an equal-width histogram with 5 bins on target_total and pivot the totals by date and category."},{"title":"Monthly financial reconciliation report","prompt":"I need to analyze these 200 reconciliation records covering Q1 — they have source_total and target_total per group. Run the histogram on source_total with 15 bins and generate the date-by-category pivot so I can spot which groups and dates have the biggest gaps."}],"resultDescription":"Returns two independent analytical reports: (1) an equal-width histogram showing the frequency distribution of the chosen field (source_total or target_total) across up to 30 bins, and (2) a date-by-category pivot table breaking down totals by date and dataset_group. Both reports are computed locally from the supplied rows with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes validation error","Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection","bins value outside 1–30 range causes validation error","Null values in source_total or target_total may affect histogram bin calculations","Payment not included or incorrect USDC amount causes x402 payment failure"],"whenToPreferThis":"Choose this endpoint when you need two complementary analytical views — a numeric distribution histogram and a date-by-category pivot — on reconciliation data (source vs target totals) in a single low-cost call. Ideal for data engineers and analysts who want to quickly audit ETL or warehouse reconciliation outputs without setting up a full BI tool. Best suited for datasets under 200 rows where batch local computation is sufficient and no live external data is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:54.261Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-analytics-equal-width-histogram-date-by-category-317bffbb"}