{"uid":"cap_j11tanQpRsXfM2I4_AxsY","slug":"validation-rule-results-string-normalisation-numeric-interval-filter-0e163edb","name":"Validation Rule Results — String Normalisation + Numeric Interval Filter","description":"Validation rule results — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter for supplied validation rule results records (passed_rules, total_rules). 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-08-026?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","passed_rules","total_rules"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"total_rules":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"passed_rules":{"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","total_rules":1,"passed_rules":10,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","total_rules":2,"passed_rules":20,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","total_rules":3,"passed_rules":15,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","total_rules":4,"passed_rules":30,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["passed_rules","total_rules"],"type":"string","default":"passed_rules"},"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_2xG8k2v3uKVqFJo0l1sk5","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":"Normalises string fields and filters rows by a numeric interval (min/max) on passed_rules or total_rules columns from validation rule results data, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run string normalisation and apply a numeric interval filter on my validation rule results — I have 50 rows with passed_rules and total_rules values, and I want to filter passed_rules between 5 and 80? The dataset groups are 'group-a' and 'group-b' with dates starting 2026-10-01.","exampleUseCases":[{"title":"QA pipeline pass rate range check","prompt":"I've got 120 rows of validation rule results from our nightly QA pipeline — can you normalise the dataset group strings and filter to only show rows where passed_rules is between 20 and 150? Dates run from 2026-09-01, row IDs are row-1 through row-120."},{"title":"Data quality audit by total rules range","prompt":"Filter my validation rule dataset to records where total_rules falls between 5 and 50, and clean up the string fields while you're at it — I have about 80 rows covering dataset groups 'finance' and 'ops' with dates from 2026-08-01."},{"title":"Compliance report with normalised group names","prompt":"I need to generate two analytical reports on my compliance validation results — normalise the dataset_group strings and filter passed_rules between 0 and 100 for my 60 rows. Row IDs go from chk-001 to chk-060 and dates start 2026-07-15."}],"resultDescription":"Returns up to 2 independent analytical reports covering string-normalised records and rows filtered to the specified numeric interval on the chosen field (passed_rules or total_rules), based solely on the supplied input data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected at maxItems limit","Invalid date format (not YYYY-MM-DD) — schema validation error","Numeric values outside ±1,000,000,000,000 — rejected by min/max constraints","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) — validation error","Field enum value not 'passed_rules' or 'total_rules' — rejected","minimum greater than maximum — may return empty filtered result set"],"whenToPreferThis":"Choose this endpoint when you need both string normalisation of dataset group labels and numeric range filtering on validation rule result metrics (passed_rules or total_rules) in a single call, for up to 200 rows, at low cost ($0.01 USDC for 2 reports). Prefer it over general analytics endpoints when your data is specifically structured as validation rule results with pass/total rule counts and you want a self-contained, no-external-lookup computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:38.785Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-string-normalisation-numeric-interval-filter-0e163edb"}