{"uid":"cap_penuKQrwsnY6PshgEILyP","slug":"data-validation-results-base-100-index-series-a7e64b71","name":"Data Validation Results – Base-100 Index Series","description":"Data validation results - Base-100 series: Base-100 series for Data validation results. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded base-100 series report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-validation-results-index?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","rule","date","checked_records","failed_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"rule":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"failed_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","rule":"group-a","row_id":"row-1","failed_records":1,"checked_records":10},{"date":"2026-10-02","rule":"group-b","row_id":"row-2","failed_records":2,"checked_records":20},{"date":"2026-10-03","rule":"group-a","row_id":"row-3","failed_records":3,"checked_records":15},{"date":"2026-10-04","rule":"group-b","row_id":"row-4","failed_records":4,"checked_records":30}],"maxItems":200,"minItems":1},"field":{"enum":["checked_records","failed_records"],"type":"string","default":"checked_records"},"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_2SfC-oQJL3UzBK3320sRY","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":"Computes a base-100 indexed time series from up to 200 supplied data validation result records (checked vs. failed records per rule and date), returning local descriptive analytics with no enrichment or forecasting.","exampleAgentPrompt":"Take my data validation results — 4 rows covering Oct 1–4 2026 for rules group-a and group-b with checked and failed record counts — and produce a base-100 index series on the checked_records field, starting from row index 0.","exampleUseCases":[{"title":"QA pipeline trend report","prompt":"I have a week's worth of daily validation run results with checked and failed record counts per rule — can you normalize them into a base-100 index series on failed_records starting from the first row so I can see how failure rates trended relative to that baseline?"},{"title":"Data quality benchmarking across rules","prompt":"Here are 50 validation result rows across three different data rules over the past month. Index the checked_records to base-100 starting at row index 0 so I can compare each rule's throughput trend on a common scale."},{"title":"Audit report for data ingestion review","prompt":"I need a descriptive analytics report for our data ingestion validation results from last quarter — I have up to 150 records with dates, rule names, and checked vs failed counts. Can you run a base-100 index on the failed_records field anchored to the first row?"}],"resultDescription":"Returns a base-100 indexed series computed from the supplied validation records for the selected field (checked_records or failed_records), along with local descriptive analytics such as relative changes over time, all scoped to the provided data with no external enrichment or forecasting.","failureModes":["Empty or missing rows array returns a validation error","Rows exceeding 200 items are rejected (maxItems constraint)","Invalid date format (non-YYYY-MM-DD) causes schema validation failure","base_index out of range (0–199) returns an error","Null values in numeric fields may affect index computation","Missing required fields (row_id, rule, date, checked_records, failed_records) cause rejection"],"whenToPreferThis":"Choose this endpoint when you have raw data validation result records (checked and failed counts by rule and date) and need a normalized base-100 index series for trend comparison or reporting — especially when you want local descriptive analytics without external data enrichment, forecasting, or cross-dataset joins. It is ideal for lightweight, self-contained QA reporting workflows processing up to 200 records at a time.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T00:52:24.215Z","isFirstParty":false,"canonicalSlug":"data-validation-results-base-100-index-series-a7e64b71"}