{"uid":"cap_tg9Kft-Zc6zaUngah1EgF","slug":"transaction-fee-observations-record-quality-audit-date-by-category-3325aca1","name":"Transaction Fee Observations — Record Quality Audit + Date by Category Pivot","description":"Transaction fee observations — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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-03-017?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_wFjQMgvy_tBUMa8MkpEEU","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 two local analytical reports on up to 200 transaction fee observation rows: a record quality audit and a date-by-category pivot on either fee_units or transaction_count.","exampleAgentPrompt":"Run a record quality audit and a date-by-category pivot on these transaction fee rows — here are 4 records with row_id, instrument_group, date, fee_units, and transaction_count — and analyze the fee_units field.","exampleUseCases":[{"title":"Fee data quality check before reporting","prompt":"I have a batch of transaction fee observations with fee_units and transaction_count. Can you audit them for record quality issues and also pivot fee_units by date and instrument group? I've got about 50 rows."},{"title":"Monthly fee summary by instrument group","prompt":"Take these 120 transaction fee records and give me a date-by-category breakdown of transaction_count across instrument groups, along with a quality audit to catch any nulls or anomalies."},{"title":"Pre-pipeline data validation for fee ingestion","prompt":"Before I load these fee observation rows into our pipeline, can you run a quality audit and a date-pivot on fee_units to make sure the data looks clean and the groupings make sense? I'll supply the rows with row_id, date, instrument_group, fee_units, and transaction_count."}],"resultDescription":"Two analytical reports: (1) a record quality audit flagging issues such as missing values, out-of-range numbers, or malformed fields across the supplied rows; (2) a date-by-category pivot table aggregating the chosen numeric field (fee_units or transaction_count) grouped by date and instrument_group. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected due to maxItems constraint","Missing required fields (row_id, date, instrument_group, fee_units, 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 to 1,000,000,000,000) — rejected","Invalid field enum value (must be 'fee_units' or 'transaction_count') — error","Empty rows array — minItems constraint violation","Payment of 0.01 USDC not received — 402 payment required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transaction fee observation rows with fee_units and transaction_count and need both a data quality audit and a date-by-category pivot in a single low-cost call. It is ideal for pre-pipeline validation, quick exploratory summaries, or catching data issues before downstream reporting — all without any external data lookups or live market data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:54:28.273Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-record-quality-audit-date-by-category-3325aca1"}