{"uid":"cap_YXOHsBxCoNtVpxjW976tC","slug":"data-reconciliation-numeric-interval-filter-secondary-measure-2d4724e5","name":"Data Reconciliation — Numeric Interval Filter + Secondary-Measure Weighted Mean","description":"Data reconciliation — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean 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-11-132?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_QP7ZlViS-DNiMzm6aDbM2","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":"Filters reconciliation rows by a numeric interval on a chosen field and computes a secondary-measure weighted mean, returning two analytical reports for up to 200 source/target rows.","exampleAgentPrompt":"I have reconciliation data with source_total and target_total across 80 rows — can you filter to rows where source_total is between 50 and 5000 and compute the secondary-measure weighted mean, giving me both analytical reports?","exampleUseCases":[{"title":"ETL pipeline source-target gap analysis","prompt":"I've got 120 reconciliation rows from my ETL pipeline with source_total and target_total values — filter them to the range 100 to 50000 on source_total and give me the weighted mean report so I can spot where the pipeline is drifting."},{"title":"Finance team monthly close reconciliation","prompt":"We're doing month-end close and I need to check our source vs target totals for the 'revenue' dataset group — filter out anything below 0 or above 1000000 and run the weighted mean analysis on target_total across all 60 rows."},{"title":"Outlier exclusion before reconciliation sign-off","prompt":"Before I sign off on this reconciliation, can you filter the 45 rows to only those with source_total between 500 and 250000 and return the two reports including the weighted mean so I can confirm the numbers look clean?"}],"resultDescription":"Returns two analytical reports: (1) the subset of input rows whose chosen field (source_total or target_total) falls within the specified [minimum, maximum] interval, and (2) a secondary-measure weighted mean computed over those filtered rows. Up to 200 input rows are supported per call.","failureModes":["Fewer than 1 row provided — validation error","More than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — schema validation failure","minimum greater than maximum — may return empty filtered set or error","source_total or target_total out of allowed range (±1 trillion) — validation error","Invalid field enum value — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have tabular reconciliation data with source and target numeric totals and need both an interval-based row filter and a weighted mean statistic in a single call. It is purpose-built for data reconciliation workflows (ETL validation, financial close, audit checks) and delivers two reports for a flat $0.01 USDC. Prefer it over general analytics services when your input is already structured as row_id/dataset_group/date/source_total/target_total records and you need offline, local analytical computation with no external lookups or side effects.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:46:04.845Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-numeric-interval-filter-secondary-measure-2d4724e5"}