{"uid":"cap_UMxQMFgErprGh12XM9qZ9","slug":"block-observations-numeric-row-ordering-explicit-missing-value-fill-98a8cd1e","name":"Block Observations — Numeric Row Ordering + Explicit Missing-Value Fill","description":"Block observations — Numeric row ordering + Explicit missing-value fill: Numeric row ordering + Explicit missing-value fill for supplied block observations records (block_transactions, block_gas). 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-finance-13-124?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","block_transactions","block_gas"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"block_gas":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"block_transactions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","block_gas":1,"instrument_group":"group-a","block_transactions":10},{"date":"2026-10-02","row_id":"row-2","block_gas":2,"instrument_group":"group-b","block_transactions":20},{"date":"2026-10-03","row_id":"row-3","block_gas":3,"instrument_group":"group-a","block_transactions":15},{"date":"2026-10-04","row_id":"row-4","block_gas":4,"instrument_group":"group-b","block_transactions":30}],"maxItems":200,"minItems":1},"field":{"enum":["block_transactions","block_gas"],"type":"string","default":"block_transactions"},"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_0QBA7oFc3Qlzb7HFBnhMx","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 block observation rows numerically and fills missing values (block_transactions or block_gas) using zero, mean, or median imputation for up to 200 rows.","exampleAgentPrompt":"I have a dataset of up to 50 block observation records with some null block_transactions values — can you sort them numerically by row and fill the missing block_transactions using median imputation?","exampleUseCases":[{"title":"Impute missing block gas readings","prompt":"I have 80 block observation rows where some block_gas values are null — sort them numerically and fill the missing ones using mean imputation, targeting the block_gas field."},{"title":"Clean blockchain transaction dataset","prompt":"My block_transactions dataset has about 120 rows with missing entries. Can you order them numerically and fill the gaps using zero fill so I have a complete series?"},{"title":"Prepare block data for analysis","prompt":"I've got 30 daily block observation records grouped by instrument group — some block_transactions are missing. Sort them by row number and impute the missing values with median so I can run further analysis."}],"resultDescription":"Returns two analytical reports covering the supplied block observation records (up to 200 rows): one with rows sorted in numeric row order, and one with missing values in the target field (block_transactions or block_gas) explicitly filled using the chosen method (zero, mean, or median). No external lookups or predictions are made.","failureModes":["Fewer than 1 row supplied — validation error","More than 200 rows submitted — rejected or truncated","Invalid date format (not YYYY-MM-DD) — schema validation failure","Numeric field values outside ±1,000,000,000,000 range — rejected","Missing required fields (row_id, instrument_group, date) — schema error","Invalid fill method or field enum value — rejected"],"whenToPreferThis":"Choose this endpoint when you have raw block observation tabular data (block_transactions or block_gas) with missing values and need both numeric row ordering and explicit imputation in a single low-cost call. It is ideal for preprocessing blockchain block metrics before downstream analytics, and costs only $0.01 USDC for up to 200 rows with two output reports. Prefer alternatives if you need live blockchain data lookups, predictions, or more than 200 rows per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:36:42.222Z","isFirstParty":false,"canonicalSlug":"block-observations-numeric-row-ordering-explicit-missing-value-fill-98a8cd1e"}