{"uid":"cap_i4u9NNn3VlJrZicStcFIo","slug":"transaction-fee-observations-exact-row-deduplication-daily-sum-series-a07510e2","name":"Transaction Fee Observations — Exact Row Deduplication + Daily Sum Series","description":"Transaction fee observations — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series 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-03-044?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_lLQCthwVX2Vxutalr-0Qi","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":"Deduplicates transaction fee observation rows exactly and computes daily sum time series for fee_units or transaction_count across up to 200 supplied records.","exampleAgentPrompt":"I have 150 transaction fee observation rows with columns row_id, instrument_group, date, fee_units, and transaction_count — can you deduplicate them exactly and give me a daily sum series for fee_units?","exampleUseCases":[{"title":"Deduplicate exchange fee records","prompt":"I've got a batch of 80 transaction fee rows from our exchange ledger, some of which might be exact duplicates. Can you deduplicate them and also give me a daily sum of fee_units so I can see total fees collected per day?"},{"title":"Daily transaction count aggregation","prompt":"Here are 120 rows of transaction observations with instrument_group and date — please remove any exact duplicate rows and produce a daily sum series for transaction_count so I can track activity over time."},{"title":"Pre-reporting fee data cleanup","prompt":"Before I send this fee dataset to the finance team, can you run exact row deduplication on my 60 records and generate a daily aggregated series of fee_units grouped by date?"}],"resultDescription":"Returns two analytical reports: (1) a deduplicated set of rows with exact duplicate records removed, and (2) a daily sum time series of the selected field (fee_units or transaction_count) aggregated by date — all computed locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — input rejected with maxItems validation error","Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) cause row-level validation errors","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Numeric values exceeding ±1,000,000,000,000 are rejected","Empty array input fails minItems constraint","Invalid enum value for field parameter returns validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 transaction fee observation records and need both exact row-level deduplication and a daily aggregated sum series in a single call. Ideal for lightweight, local analytical processing of fee data without requiring an external database or BI tool. Best suited when data is already structured with row_id, instrument_group, date, fee_units, and transaction_count fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:22.810Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-exact-row-deduplication-daily-sum-series-a07510e2"}