{"uid":"cap_tNnBxdN0wtKFFk1Pmp-dW","slug":"data-reconciliation-analytics-daily-sum-series-equal-width-histogram-fc6174a8","name":"Data Reconciliation Analytics — Daily Sum Series + Equal-Width Histogram","description":"Data reconciliation — Daily sum series + Equal-width histogram: Daily sum series + 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-11-139?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_JgJ2sMxknSpldKJxQAYL4","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 (a daily sum time series and an equal-width histogram) over supplied source/target reconciliation data, using local computation on up to 200 rows.","exampleAgentPrompt":"Can you run daily sum series and histogram analytics on my reconciliation data? I have 4 rows for group-a and group-b from 2026-10-01 to 2026-10-04 with source_total values of 10, 20, 15, and 30 — analyze the source_total field using 5 bins.","exampleUseCases":[{"title":"Financial pipeline reconciliation summary","prompt":"I have daily source and target totals from our ETL pipeline for October — can you generate a daily sum series and a 10-bin histogram over the source_total field so I can see how values are distributed and trending? Here are the rows: [row-1, finance-team, 2026-10-01, source=5000, target=4950], [row-2, finance-team, 2026-10-02, source=7200, target=7100]."},{"title":"Detecting skew in target totals","prompt":"Run a histogram with 8 equal-width bins on the target_total field across these 20 reconciliation records spanning November 2026 — I want to see if the target values are skewed or evenly spread across groups A and B."},{"title":"Daily aggregation audit for data ops","prompt":"We need to audit our daily ingestion pipeline — can you generate a daily sum series for source_total across these 150 reconciliation rows covering the last quarter, grouped by dataset_group, so we can spot any days where totals look anomalous?"}],"resultDescription":"Returns two independent analytical reports: (1) a daily sum time series aggregating the selected field (source_total or target_total) by date, and (2) an equal-width histogram with configurable bin count (1–30, default 5) showing the value distribution — all computed locally from the supplied rows with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Invalid date format (not YYYY-MM-DD) causes row validation failure","bins value outside 1–30 range causes schema validation error","Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row causes rejection","null values in source_total or target_total may affect aggregation results","Payment of 0.01 USDC not provided — endpoint returns 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of source/target reconciliation data and need both a daily time series summary and a histogram distribution report in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical review of reconciliation outputs without needing a live database, external lookup, or prediction service. Prefer it over general-purpose analytics when you want two bundled reports (time series + histogram) specifically tailored to reconciliation (source_total vs target_total) fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:52.275Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-analytics-daily-sum-series-equal-width-histogram-fc6174a8"}