{"uid":"cap_4xWJaegxnBW2m6YL_RKen","slug":"transaction-fee-observations-string-normalisation-numeric-interval-da355f26","name":"Transaction Fee Observations — String Normalisation + Numeric Interval Filter","description":"Transaction fee observations — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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-03-026?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_o5EstHzzxd12OvHi3S3Mc","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":"Normalises string fields and filters transaction fee observation rows by a numeric interval across fee_units or transaction_count, producing 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 50 transaction fee observation records with columns row_id, instrument_group, date, fee_units, and transaction_count — can you normalise the string fields and filter down to only rows where fee_units is between 5 and 150, then give me 2 analytical reports?","exampleUseCases":[{"title":"Fee range audit for trading instruments","prompt":"I've got 120 rows of daily fee observations across different instrument groups. Can you normalise the instrument_group strings and filter to only the rows where fee_units falls between 10 and 500? I need both analytical reports."},{"title":"Transaction count spike investigation","prompt":"Here are 80 transaction fee records — please normalise the string fields and filter to rows where transaction_count is between 50 and 2000, so I can see which dates had unusual activity. Give me the two standard reports."},{"title":"Fee data cleanup before dashboard load","prompt":"Before I load these 200 transaction fee observation rows into my dashboard, can you run string normalisation on them and remove any rows where fee_units is outside the range of 0 to 100? I'll take both reports."}],"resultDescription":"Returns 2 independent analytical reports based on the supplied transaction fee observation rows (up to 200), with string fields normalised and rows filtered to those where the chosen numeric field (fee_units or transaction_count) falls within the specified minimum–maximum interval. No external data is fetched; all processing is local.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","Numeric values outside ±1,000,000,000,000 bounds — rejected","Minimum value greater than maximum value — may return empty filtered set","Field enum value not 'fee_units' or 'transaction_count' — schema error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transaction fee observation data and need both string normalisation of categorical fields (like instrument_group) and numeric interval filtering on fee_units or transaction_count in a single call for $0.01 USDC. It is ideal for lightweight, offline analytical pre-processing before loading data into dashboards or reports, without requiring any external data sources or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:54:44.833Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-string-normalisation-numeric-interval-da355f26"}