{"uid":"cap_KlU4x_tkWDaTjJZOQqsdb","slug":"transaction-fee-observations-record-quality-audit-string-021ad6d9","name":"Transaction Fee Observations — Record Quality Audit + String Normalisation + Adjacent Row Changes","description":"Transaction fee observations — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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-03-200?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"}}},"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_1iygZS-EPag7uAXhlaIRU","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":"Runs three local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 supplied transaction fee observation rows containing fee_units and transaction_count fields.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and adjacent row changes analysis on my transaction fee data? Here are my rows with instrument groups like 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and fee_units values — I want all three reports for the fee_units field.","exampleUseCases":[{"title":"Fee data quality audit before reporting","prompt":"I have 150 rows of daily transaction fee observations with instrument_group labels and fee_units values — can you run a full record quality audit, normalise the string fields, and show me any adjacent row changes for fee_units so I can clean the data before our monthly finance report?"},{"title":"Detecting consecutive fee spikes","prompt":"Can you analyse these 80 transaction fee records and give me the adjacent row changes for transaction_count? I want to see where consecutive rows have big jumps so I can flag unusual activity."},{"title":"String normalisation for instrument group labels","prompt":"My fee observation dataset has messy instrument_group strings mixed with quality issues across 60 rows — please run the string normalisation and record quality audit reports on fee_units so I can standardise everything before loading it into our data warehouse."}],"resultDescription":"Returns three independent analytical reports derived from the supplied rows: (1) a record quality audit highlighting missing, null, or out-of-range values; (2) a string normalisation report for categorical fields like instrument_group; and (3) an adjacent row changes report showing value differences between consecutive rows for the chosen numeric field (fee_units or transaction_count). No external data is fetched; all analysis is performed locally on the submitted data.","failureModes":["Rows array exceeds 200 items — request rejected","Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Numeric values outside allowed range (-1e12 to 1e12) cause validation failure","Empty rows array returns an error","Payment of 0.01 USDC not provided or rejected via x402 protocol"],"whenToPreferThis":"Choose this endpoint when you need a bundled, cost-efficient set of three data quality reports — record quality audit, string normalisation, and adjacent row changes — on transaction fee observation data (fee_units, transaction_count) in a single call for up to 200 rows. It is ideal when you want local, offline-style analysis without any live lookups or external enrichment, and when the flat $0.01 USDC cost for all three reports is preferable to calling separate single-purpose endpoints.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:23.105Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-record-quality-audit-string-021ad6d9"}