{"uid":"cap_0RLsPo-2C0JHz29QidoXP","slug":"data-reconciliation-numeric-distribution-base-100-series-374bc079","name":"Data Reconciliation — Numeric Distribution + Base-100 Series","description":"Data reconciliation — Numeric distribution + Base-100 series: Numeric distribution + 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-11-078?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_tS75JydsRcFO3rKHouYoL","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 (numeric distribution summary and Base-100 indexed series) for supplied source/target reconciliation data, supporting up to 200 rows per call.","exampleAgentPrompt":"Can you run a numeric distribution and Base-100 series analysis on my reconciliation data? I have rows for group-a and group-b from 2026-10-01 to 2026-10-04 with source_total values of 10, 20, 15, 30 and target_total values of 1, 2, 3, 4 — analyze the source_total field and use row index 0 as the base.","exampleUseCases":[{"title":"Monthly finance reconciliation distribution check","prompt":"I have 50 rows of monthly reconciliation records across two dataset groups from Jan to June 2026, each with a source_total and target_total. Can you give me a numeric distribution summary and a Base-100 indexed series for the source_total field, starting from the first row?"},{"title":"ETL pipeline source vs target drift analysis","prompt":"Our ETL pipeline produces daily source and target totals across two data groups for Q1 2026 — about 90 rows total. Run a distribution and Base-100 rebase report on the target_total values using row 0 as the base index so I can see how much drift has accumulated."},{"title":"Cross-team dataset group comparison","prompt":"I need to analyze two dataset groups — 'team-east' and 'team-west' — for source_total spread over the last 30 days. Can you produce a numeric distribution report and Base-100 series for source_total, rebased to index 0?"}],"resultDescription":"Returns two independent analytical reports: (1) a numeric distribution summary with quantiles and population statistics for the chosen field (source_total or target_total) across up to 200 reconciliation rows, and (2) a Base-100 indexed series rebasing all values relative to the specified base row index — both computed locally without external lookups.","failureModes":["rows array is empty or exceeds 200 items — validation error returned","base_index out of range (0–199) for the provided dataset — index error","source_total or target_total values outside ±1,000,000,000,000 — validation rejection","date strings not matching YYYY-MM-DD pattern — schema validation error","null values in source_total or target_total may affect distribution computation — partial or degraded output","missing required row fields (row_id, dataset_group, date) — row-level validation failure"],"whenToPreferThis":"Choose this endpoint when you need both a statistical distribution breakdown and a Base-100 normalized time series for reconciliation data in a single call. It is ideal for batch analysis of up to 200 source/target reconciliation rows where no external data, predictions, or professional assessments are required — just local analytical computation on your supplied values. Prefer alternatives if you need outlier flagging (IQR), trend fitting, or ranking rather than distribution and indexing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:45:44.378Z","isFirstParty":false,"canonicalSlug":"data-reconciliation-numeric-distribution-base-100-series-374bc079"}