{"uid":"cap_VEPIRfS4YF7JYCW2azg9_","slug":"transaction-fee-observations-record-quality-audit-string-02acff7f","name":"Transaction Fee Observations — Record Quality Audit + String Normalisation + Numeric Interval Filter","description":"Transaction fee observations — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied transaction fee observations records (fee_units, transaction_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-finance-03-197?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_pOIBcEevwv0YtBgvYCMoE","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":"Audits record quality, normalises strings, and filters by numeric interval for up to 200 transaction fee observation rows, returning 3 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric interval filter on my transaction fee observations? I have up to 50 rows with fee_units and transaction_count fields — filter fee_units between 0 and 500.","exampleUseCases":[{"title":"Fee data quality check before reporting","prompt":"I need to audit the quality of my transaction fee records before generating the monthly report. Can you check these 80 rows for data quality issues, normalise the instrument_group strings, and filter the fee_units field to only include values between 0 and 10000?"},{"title":"Detecting out-of-range transaction counts","prompt":"Can you run a numeric interval filter on transaction_count for my 120 fee observation rows, keeping only records where transaction_count falls between 1 and 5000, and also give me a record quality audit on the whole dataset?"},{"title":"Cleaning instrument group labels in fee data","prompt":"My transaction fee dataset has messy instrument_group strings and I suspect some duplicates or formatting issues. Can you run string normalisation and a record quality audit on these 30 rows, and also filter fee_units between 5 and 250?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit identifying issues such as missing, null, or malformed values across the supplied rows; (2) a string normalisation report for the instrument_group and date string fields; (3) a numeric interval filter report showing which rows fall within the specified minimum–maximum range for the chosen field (fee_units or transaction_count). All analysis is performed locally with no external lookups or predictions.","failureModes":["More than 200 rows submitted — request rejected or truncated","Invalid date format in date field (must match YYYY-MM-DD pattern)","Numeric values outside allowed range (-1e12 to 1e12) cause validation errors","Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) cause schema errors","minimum greater than maximum causes undefined filter behaviour","Payment not provided or insufficient USDC causes 402 error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transaction fee observation rows and need all three of record quality auditing, string normalisation, and numeric interval filtering in a single call at low cost ($0.01 USDC). It is ideal for pre-reporting data hygiene checks on fee and transaction count data without needing live lookups, predictions, or external data sources. Prefer alternatives if you need more than 200 rows, real-time enrichment, forecasting, or professional financial assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:53:28.338Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-record-quality-audit-string-02acff7f"}