{"uid":"cap_G4ziuWaU2WTlBkDUxhjul","slug":"transaction-fee-observations-record-quality-audit-adjacent-row-changes-40383cca","name":"Transaction Fee Observations — Record Quality Audit + Adjacent Row Changes","description":"Transaction fee observations — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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-03-011?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_ddVJE4JxK9sh5S_18RO-_","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 data quality and computes adjacent row changes for transaction fee observation records (fee_units, transaction_count) across up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row changes report on my transaction fee data? I have 4 rows with fee_units values like 10, 20, 15, 30 for groups A and B across October 2026 — analyze the fee_units field.","exampleUseCases":[{"title":"Daily fee data quality check","prompt":"I have a batch of 50 daily transaction fee records with fee_units and transaction_count columns — can you audit the data quality and show me where adjacent rows have big changes in fee_units?"},{"title":"Instrument group anomaly detection","prompt":"Here are 120 rows of transaction fee observations across several instrument groups from last quarter. Run a record quality audit and flag any adjacent row changes in transaction_count that look unusual."},{"title":"Pre-reporting data validation","prompt":"Before I submit my monthly fee report, can you check these 80 transaction fee records for quality issues and calculate the row-over-row changes in fee_units so I can spot any data entry mistakes?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying completeness, validity, and consistency issues across the supplied rows, and (2) an adjacent row changes analysis showing value differences between consecutive rows for the selected field (fee_units or transaction_count). Both reports are generated locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, instrument_group, date, fee_units, or transaction_count) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Invalid field enum value (must be 'fee_units' or 'transaction_count') — error response","Payment of 0.01 USDC not fulfilled — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have transaction fee observation data with fee_units and transaction_count fields and need both a data quality audit and adjacent row change detection in a single call. Ideal for pre-processing pipelines, data validation before reporting, or spotting anomalies in time-series fee records. Best suited for batches of up to 200 rows where no live data lookup or prediction is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:15:49.185Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-record-quality-audit-adjacent-row-changes-40383cca"}