{"uid":"cap_FQBNB1L74WB553w_i5gj7","slug":"schema-conformity-numeric-distribution-missing-value-fill-7c46aa96","name":"Schema Conformity: Numeric Distribution + Missing-Value Fill","description":"Schema conformity — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied schema conformity records (valid_records, checked_records). 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-02-085?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","valid_records","checked_records"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"dataset_group":{"type":"string","default":"","maxLength":80},"valid_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"checked_records":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","dataset_group":"group-a","valid_records":10,"checked_records":1},{"date":"2026-10-02","row_id":"row-2","dataset_group":"group-b","valid_records":20,"checked_records":2},{"date":"2026-10-03","row_id":"row-3","dataset_group":"group-a","valid_records":15,"checked_records":3},{"date":"2026-10-04","row_id":"row-4","dataset_group":"group-b","valid_records":30,"checked_records":4}],"maxItems":200,"minItems":1},"field":{"enum":["valid_records","checked_records"],"type":"string","default":"valid_records"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_0-A-_GHRxfFPEJHXqEFek","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 numeric distribution statistics and fills missing values for valid_records and checked_records schema conformity data across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"Analyze the distribution of valid_records in my schema conformity data and fill any missing values using median imputation — here are my 5 rows: row-1 (group-a, 2026-10-01, valid_records=10, checked_records=1), row-2 (group-b, 2026-10-02, valid_records=20, checked_records=2), row-3 (group-a, 2026-10-03, valid_records=null, checked_records=3), row-4 (group-b, 2026-10-04, valid_records=30, checked_records=4), row-5 (group-a, 2026-10-05, valid_records=15, checked_records=5).","exampleUseCases":[{"title":"Data quality audit across dataset groups","prompt":"I have 50 rows of schema conformity data with valid_records and checked_records tracked daily across two dataset groups. Can you run a numeric distribution analysis on valid_records and fill any missing values using median imputation so I can see the spread and gaps?"},{"title":"Missing-value imputation for conformity pipeline","prompt":"My data pipeline has null values in checked_records for some dates in my schema conformity log. Run missing-value fill using zero imputation on the checked_records field across these 30 rows so I can continue downstream processing."},{"title":"Statistical summary for compliance reporting","prompt":"I need two reports on my schema conformity dataset — one showing the numeric distribution of valid_records and one filling missing entries using mean — so I can include them in my compliance summary. Here are 100 rows with dates from 2026-09-01 to 2026-12-10."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution summary of the selected field (valid_records or checked_records) across the supplied rows, including spread and descriptive statistics; and (2) a missing-value fill report where null entries in the selected field are replaced using the chosen method (zero, mean, or median), computed entirely from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected due to minItems constraint","More than 200 rows submitted — exceeds maxItems limit","Date values not in YYYY-MM-DD format — pattern validation failure","row_id missing or empty — required field violation","Numeric values outside ±1,000,000,000,000 range — schema rejection","Invalid field enum value (not valid_records or checked_records) — validation error","Invalid method enum value (not zero, mean, or median) — validation error","Payment of 0.01 USDC not completed — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have schema conformity data with valid_records and checked_records fields and need both a numeric distribution analysis and missing-value imputation in a single low-cost call. It is well-suited for data quality pipelines where offline, self-contained statistical analysis suffices and no external data, predictions, or real-time lookups are needed. Prefer this over general analytics tools when you want a bundled two-report output (distribution + fill) for up to 200 rows at a fixed cost of $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-17T00:47:00.514Z","isFirstParty":false,"canonicalSlug":"schema-conformity-numeric-distribution-missing-value-fill-7c46aa96"}