{"uid":"cap_-OCpzd_Sj6grQfF3aiDSn","slug":"validation-rule-results-exact-row-deduplication-base-100-series-a22fa12b","name":"Validation Rule Results — Exact Row Deduplication + Base-100 Series","description":"Validation rule results — Exact row deduplication + Base-100 series: Exact row deduplication + Base-100 series 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-08-047?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"},"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_75ad6r8s75zNwc7jbLi1y","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":"Deduplicates exact duplicate rows and computes a Base-100 indexed series for validation rule result metrics (passed_rules, total_rules) across up to 200 supplied records.","exampleAgentPrompt":"Take my validation rule results — rows with row_id, dataset_group, date, passed_rules, and total_rules — deduplicate any exact duplicate rows and then generate a Base-100 indexed series for the passed_rules field starting from row index 0. I have about 50 rows across two groups.","exampleUseCases":[{"title":"Data pipeline quality trend indexing","prompt":"I have 120 rows of daily validation rule results with passed_rules and total_rules per dataset group. Can you deduplicate any exact duplicate records and then build a Base-100 series for passed_rules anchored to the first row so I can compare trends across groups?"},{"title":"Audit deduplication for compliance reporting","prompt":"Before I submit my monthly data quality report, can you scrub exact duplicates from my 80 validation rule result rows and give me the deduplicated output plus a base-100 indexed series for total_rules starting at index 0?"},{"title":"Normalize multi-group validation metrics","prompt":"I'm comparing validation coverage across dataset groups A and B over the past quarter — about 150 rows total. Please deduplicate the records and generate a Base-100 series on passed_rules from the beginning of the dataset so I can see relative performance."}],"resultDescription":"Returns two analytical reports: (1) a deduplicated row set with exact duplicate rows removed, and (2) a Base-100 indexed series for the selected metric field (passed_rules or total_rules) anchored to the specified base_index row. Both reports are computed locally against the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — violates minItems constraint","More than 200 rows supplied — violates maxItems constraint","Invalid date format (not YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, dataset_group, date, passed_rules, total_rules) cause validation errors","base_index out of range (must be 0–199 and within actual row count)","Null values in passed_rules or total_rules may affect Base-100 computation","Non-numeric values in numeric fields cause processing errors"],"whenToPreferThis":"Choose this endpoint when you have up to 200 validation rule result records and need both exact deduplication and Base-100 series normalization in a single call without any external data access. It is purpose-built for data quality/validation pipeline analytics and is more efficient than running deduplication and indexing as separate steps. Prefer it over generic analytics tools when your data already conforms to the row_id/dataset_group/date/passed_rules/total_rules schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T12:48:36.909Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-exact-row-deduplication-base-100-series-a22fa12b"}