{"uid":"cap_bmF6T7UpR3DNavhRUpqkB","slug":"transaction-fee-observations-numeric-distribution-missing-value-fill-3ef0f722","name":"Transaction Fee Observations — Numeric Distribution + Missing-Value Fill","description":"Transaction fee observations — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill for supplied transaction fee observations records (fee_units, transaction_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-finance-03-085?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","fee_units","transaction_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"fee_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"transaction_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","fee_units":10,"instrument_group":"group-a","transaction_count":1},{"date":"2026-10-02","row_id":"row-2","fee_units":20,"instrument_group":"group-b","transaction_count":2},{"date":"2026-10-03","row_id":"row-3","fee_units":15,"instrument_group":"group-a","transaction_count":3},{"date":"2026-10-04","row_id":"row-4","fee_units":30,"instrument_group":"group-b","transaction_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["fee_units","transaction_count"],"type":"string","default":"fee_units"},"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_IAf12m0sxNiz9v4aUpUjm","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 numeric distribution report and fills missing values (zero, mean, or median) for up to 200 transaction fee observation records with fee_units and transaction_count fields.","exampleAgentPrompt":"Can you run a numeric distribution report and fill any missing fee_units values using median imputation on my transaction fee data — I have about 50 rows with date, instrument_group, fee_units, and transaction_count fields?","exampleUseCases":[{"title":"Fee distribution audit for settlement data","prompt":"I have 120 rows of daily settlement fee observations with fee_units and transaction_count — can you compute the numeric distribution of fee_units and fill any null fee_units values using the mean?"},{"title":"Missing transaction count imputation","prompt":"Some of my transaction_count entries are null in this dataset of 80 rows across multiple instrument groups — please fill the missing transaction_count values with zero and give me the distribution report too."},{"title":"Instrument group fee analysis","prompt":"Run a numeric distribution report on my fee_units column across these 200 transaction records and use median fill for any missing values, then tell me the spread and key statistics."}],"resultDescription":"Returns two analytical reports for the supplied dataset: (1) a numeric distribution report showing statistical spread (min, max, mean, median, percentiles, etc.) for the selected field, and (2) a dataset with explicit missing values filled using the chosen method (zero, mean, or median). Both reports cover up to 200 rows using local analytical engines with no external data lookup.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, date, fee_units, transaction_count, instrument_group) in any row causes validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 range rejected","Invalid method enum value (not zero/mean/median) causes error","Invalid field enum value (not fee_units/transaction_count) causes error","Payment failure or insufficient USDC balance blocks request"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transaction fee observation records and need both a numeric distribution summary and missing-value imputation in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline statistical analysis of fee_units or transaction_count fields without requiring a live database, prediction model, or external data source. Prefer alternatives if you need real-time fee lookups, predictions, or analysis of more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:02.014Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-numeric-distribution-missing-value-fill-3ef0f722"}