{"uid":"cap_q-GeI5zrzcfsK5YeMyqaQ","slug":"validation-rule-results-analytics-base-100-series-missing-value-fill-98ccaf86","name":"Validation Rule Results Analytics — Base-100 Series + Missing-Value Fill","description":"Validation rule results — Base-100 series + Explicit missing-value fill: Base-100 series + Explicit missing-value fill 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-08-169?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"},"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_SDwQ6smdmGAdhTJr5-RFu","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 and fills missing values (zero/mean/median) for up to 200 rows of validation rule result data (passed_rules, total_rules), delivering two analytical reports.","exampleAgentPrompt":"I have validation rule results for two dataset groups over October 2026 — can you normalize the passed_rules field to a base-100 index starting at row index 0 and fill any missing values using median, across these 4 rows: row-1 group-a 2026-10-01 passed=10 total=1, row-2 group-b 2026-10-02 passed=20 total=2, row-3 group-a 2026-10-03 passed=15 total=3, row-4 group-b 2026-10-04 passed=30 total=4?","exampleUseCases":[{"title":"Data quality trend benchmarking","prompt":"I want to benchmark how our passed_rules counts have changed over the past week relative to day one — can you generate a base-100 indexed series for the passed_rules field starting at index 0, filling any missing days with the median, for these 5 rows across dataset groups 'finance' and 'ops'?"},{"title":"Missing validation data imputation","prompt":"Some of our total_rules entries are null for certain dates in October — can you fill those gaps using mean imputation and give me a base-100 series for total_rules starting at index 0 across these 200 rows of validation results?"},{"title":"Multi-group compliance comparison","prompt":"We have validation results split across two dataset groups, 'schema-checks' and 'referential-integrity', recorded daily through Q4 — can you index the passed_rules metric to base 100 from the first row and fill missing values with zero, so I can compare how compliance tracks across both groups over time?"}],"resultDescription":"Returns two analytical reports: (1) a Base-100 indexed time series for the selected field (passed_rules or total_rules), anchored to the specified base_index row, and (2) an explicit missing-value filled series using the chosen method (zero, mean, or median). Reports cover all supplied rows grouped by dataset_group and date.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","base_index out of range (>= number of rows) — error returned","Field or method enum value not recognized — schema validation failure","All values null for a group — fill may produce degenerate output","Missing required fields (row_id, dataset_group, date) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of validation rule result records (passed_rules, total_rules) and need two specific analytical transforms: a Base-100 normalized index series anchored to a chosen row, and explicit missing-value imputation (zero, mean, or median). It runs entirely on supplied data with no external lookups, making it deterministic and suitable for offline or privacy-sensitive data quality analytics. Prefer this over general-purpose analytics tools when you specifically need indexed trend normalization combined with gap-filling for data quality metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T00:36:53.899Z","isFirstParty":false,"canonicalSlug":"validation-rule-results-analytics-base-100-series-missing-value-fill-98ccaf86"}