{"uid":"cap_DjToXAtoapz_CsP2FEECV","slug":"transaction-fee-observations-exact-row-deduplication-trailing-mean-6897adcc","name":"Transaction Fee Observations — Exact Row Deduplication + Trailing Mean Series","description":"Transaction fee observations — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean 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-03-045?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_VceuoETug0a3F8CrfApHQ","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 and computes a trailing mean series for fee_units or transaction_count fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"Deduplicate these transaction fee records and compute a trailing mean series over fee_units with a window of 3 — I have 4 rows for group-a and group-b dated 2026-10-01 through 2026-10-04 with fee values 10, 20, 15, and 30.","exampleUseCases":[{"title":"Fee data deduplication and smoothing","prompt":"I have 150 rows of daily transaction fee observations across several instrument groups — can you deduplicate them exactly and then compute a trailing mean over fee_units using a window of 5?"},{"title":"Transaction count rolling average report","prompt":"Run deduplication and a trailing mean series on my transaction_count field for these 80 fee observation records, using a window size of 7, and give me both reports."},{"title":"Cleaning raw fee exports before analysis","prompt":"Before I build my dashboard, can you take these 200 raw fee observation rows, strip any exact duplicate records, and generate a trailing mean series over fee_units with a window of 4 so I can see the smoothed trend?"}],"resultDescription":"Two analytical reports for the supplied rows: (1) an exact row-deduplicated dataset identifying and removing duplicate records, and (2) a trailing mean series computed over the specified field (fee_units or transaction_count) using the given window size — both generated locally without external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) in any row","Missing required fields (row_id, instrument_group, date, fee_units, transaction_count)","Window size less than 2 or greater than 200","Field value outside allowed numeric range (-1,000,000,000,000 to 1,000,000,000,000)","Payment failure or insufficient USDC balance"],"whenToPreferThis":"Choose this endpoint when you need both exact duplicate removal and a trailing mean time series computed together on transaction fee data in a single low-cost call (0.01 USDC for two reports). It is ideal for pre-processing raw fee exports of up to 200 rows before downstream analysis, with no external data access or prediction — purely local analytical computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:31.860Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-exact-row-deduplication-trailing-mean-6897adcc"}