{"uid":"cap_SbbD0k1J-sZ3ua5VC6lyE","slug":"schema-conformity-analytics-numeric-row-ordering-explicit-missing-329dec3a","name":"Schema Conformity Analytics — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Schema conformity — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + 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-02-124?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_5Y6vx4zuhvApdo1Wm2RIj","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":"Sorts rows numerically and fills missing values (zero, mean, or median) for valid_records or checked_records fields in schema conformity datasets, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have schema conformity records with some null values in valid_records — can you sort the rows numerically and fill the missing values using median imputation? Here are my rows: row-1 group-a 2026-10-01 valid=10 checked=1, row-2 group-b 2026-10-02 valid=null checked=2, row-3 group-a 2026-10-03 valid=15 checked=3.","exampleUseCases":[{"title":"Impute nulls in validation tracking data","prompt":"I have a schema conformity table with some missing valid_records entries — please sort the rows by numeric order and fill those nulls using the median of the existing values. My rows span October 2026 across group-a and group-b."},{"title":"Zero-fill missing checked_records for compliance report","prompt":"Can you process my compliance dataset and fill any missing checked_records values with zero, then sort everything numerically by row? I need two clean reports for my audit — I have about 50 rows across different dataset groups."},{"title":"Mean imputation for data quality dashboard","prompt":"My data quality dashboard rows have gaps in the valid_records column — sort the rows numerically and fill the blanks using the mean value so I can see a complete picture. I've got around 100 rows with dates from 2026 across multiple groups."}],"resultDescription":"Two analytical reports covering the submitted dataset rows: one showing numerically ordered rows and one showing the dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Results are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row submitted — minItems validation error","More than 200 rows submitted — maxItems exceeded error","Invalid date format (not YYYY-MM-DD) — pattern validation failure","row_id missing or empty — minLength validation error","Invalid fill method value — enum validation error","Invalid field value — enum validation error","Numeric values outside ±1,000,000,000,000 range — range validation error"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously sort schema conformity data by numeric row order AND impute missing values in either valid_records or checked_records, getting both operations as paired reports in a single call. It is purpose-built for data quality record sets (valid/checked record counts by date and group) and delivers two reports per call at low cost. Prefer it over general-purpose analytics when your data fits the schema conformity domain and you need offline, deterministic computation with no external dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:57:33.520Z","isFirstParty":false,"canonicalSlug":"schema-conformity-analytics-numeric-row-ordering-explicit-missing-329dec3a"}