{"uid":"cap_kw0_TzE1zWV_SIlAUD9S1","slug":"dataset-storage-analytics-numeric-row-ordering-explicit-missing-value-b166cd43","name":"Dataset Storage Analytics — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Dataset storage — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied dataset storage records (used_mb, row_count). 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-18-124?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","dataset_group","date","used_mb","row_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"used_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"row_count":{"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","used_mb":10,"row_count":1,"dataset_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","used_mb":20,"row_count":2,"dataset_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","used_mb":15,"row_count":3,"dataset_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","used_mb":30,"row_count":4,"dataset_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["used_mb","row_count"],"type":"string","default":"used_mb"},"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_qbppwObwKFZPm27-9SfY3","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 dataset storage records numerically and fills missing values using a chosen method (zero, mean, or median) for up to 200 rows across two fields.","exampleAgentPrompt":"Sort my dataset storage rows numerically by used_mb and fill in any missing values using the median — here are up to 50 rows with row_id, date, dataset_group, used_mb, and row_count fields.","exampleUseCases":[{"title":"Impute missing storage usage metrics","prompt":"I have 80 rows of storage logs with some null used_mb values — can you sort them numerically by used_mb and fill in the missing entries using the mean?"},{"title":"Order dataset records and handle nulls","prompt":"My dataset tracking table has gaps in the row_count column. Sort all 120 rows numerically and fill those missing row_count values with zero so my report is complete."},{"title":"Clean storage data before dashboard load","prompt":"Before I load this into my dashboard, can you take these 60 storage records, sort them by row_count numerically, and replace any null row_count values using the median?"}],"resultDescription":"Two analytical reports covering the submitted dataset storage rows: one report showing records in numeric order by the chosen field, and one report where missing values in that field have been filled using the specified method (zero, mean, or median). Returns processed row data up to 200 records.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, dataset_group, date) on any row — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Field or method enum value not recognized — bad request","Empty rows array — minimum 1 item required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 dataset storage records (with used_mb and/or row_count fields) that need both numeric ordering and missing-value imputation in a single low-cost call. It is ideal for lightweight data preprocessing pipelines where you want two complementary analytical views — sorted order and filled gaps — without spinning up a full data processing stack. Prefer this over general analytics services when your data fits the dataset-storage schema and you need a cheap, deterministic, no-external-lookup transformation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T18:55:24.005Z","isFirstParty":false,"canonicalSlug":"dataset-storage-analytics-numeric-row-ordering-explicit-missing-value-b166cd43"}