{"uid":"cap_86fBktDEGRoWi1mN1wSgF","slug":"data-reconciliation-numeric-row-ordering-base-100-series-44e5b3e6","name":"Data Reconciliation — Numeric Row Ordering + Base-100 Series","description":"Data reconciliation — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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-11-117?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_-sbgxuIngHWkMf3pMiXVQ","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":"Analyzes up to 200 reconciliation rows and produces two reports: numeric row ordering and a Base-100 indexed series for source_total or target_total fields.","exampleAgentPrompt":"I have 4 reconciliation rows with source and target totals — can you rank them numerically and build a Base-100 series starting at row index 0 on the source_total field? The rows are: row-1 (group-a, 2026-10-01, source 10, target 1), row-2 (group-b, 2026-10-02, source 20, target 2), row-3 (group-a, 2026-10-03, source 15, target 3), row-4 (group-b, 2026-10-04, source 30, target 4).","exampleUseCases":[{"title":"Monthly revenue reconciliation indexing","prompt":"Here are 12 months of revenue reconciliation rows with source and target totals for two dataset groups. Can you rank them by value and create a Base-100 series starting at index 0 on the source_total column?"},{"title":"Vendor payment data comparison","prompt":"I have 50 vendor payment reconciliation records from Q3 with source_total and target_total — please produce a numeric ordering of the rows and a Base-100 index series on the target_total field, starting from the first row."},{"title":"Budget vs actuals drift analysis","prompt":"I've got 30 rows of budget-vs-actuals reconciliation data organized in two groups. Can you give me a row ranking and a Base-100 indexed series on source_total starting from index 0 so I can see how values drift across dates?"}],"resultDescription":"Returns two analytical reports: (1) a numeric row ordering of the submitted reconciliation rows ranked by value, and (2) a Base-100 indexed series showing how the chosen field (source_total or target_total) evolves relative to the selected base row, across up to 200 rows.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, dataset_group, date, source_total, or target_total) — validation error","base_index out of range (must be 0–199) — schema validation failure","Date field not matching YYYY-MM-DD pattern — rejected by pattern validation","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — schema rejection","Payment not completed via x402 protocol — request not processed"],"whenToPreferThis":"Choose this endpoint when you need two complementary analytical views — numeric row ranking and a Base-100 normalized series — on reconciliation data with source and target totals, without needing live data lookups, predictions, or external integrations. It is a cost-effective ($0.01 USDC) option for up to 200 rows when local computation suffices.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:37.691Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-numeric-row-ordering-base-100-series-44e5b3e6"}