{"uid":"cap_J9jjDI57-FJjDK4wVxSmo","slug":"transaction-fee-observations-daily-sum-series-iqr-outlier-flags-460b82b8","name":"Transaction Fee Observations — Daily Sum Series + IQR Outlier Flags","description":"Transaction fee observations — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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-03-140?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_eh2__Ld9qgBqZSPsIf3Pl","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":"Computes a daily sum time series and IQR-based outlier flags for supplied transaction fee observation records (fee_units or transaction_count).","exampleAgentPrompt":"Can you run the daily sum series and IQR outlier detection on these transaction fee records I have — analyzing the fee_units field? I'll supply up to 50 rows with date, row_id, instrument_group, fee_units, and transaction_count.","exampleUseCases":[{"title":"Daily fee anomaly detection for exchange","prompt":"I have 90 rows of daily transaction fee observations from our exchange — each row has a date, instrument group, fee_units, and transaction_count. Can you compute the daily sum series for fee_units and flag any outlier days using IQR?"},{"title":"Blockchain fee spike identification","prompt":"Here are 150 rows of on-chain transaction fee records grouped by instrument. Please give me a daily sum series and highlight which dates have IQR outliers in the fee_units field so I can investigate fee spikes."},{"title":"Transaction count anomaly audit","prompt":"I want to audit my transaction count data for unusual days — I have 60 rows with dates, instrument groups, and transaction counts. Can you run the daily sum series and IQR outlier flags on the transaction_count field?"}],"resultDescription":"Returns two analytical reports: (1) a daily sum series aggregating the chosen field (fee_units or transaction_count) by date across supplied rows, and (2) IQR-based outlier flags identifying which dates or records fall outside the interquartile range — all computed locally on the supplied data, up to 200 rows.","failureModes":["Missing required fields (row_id, date, instrument_group, fee_units, transaction_count) cause validation errors","More than 200 rows submitted returns an error or truncation","Invalid date format (not YYYY-MM-DD) causes parsing failure","Null values in fee_units or transaction_count may affect aggregation accuracy","Payment of 0.01 USDC not completed results in 402 response"],"whenToPreferThis":"Choose this endpoint when you need both a daily aggregation time series AND IQR-based outlier detection on transaction fee data in a single call, without needing live market data, predictions, or external lookups — ideal for post-hoc analysis of supplied fee records up to 200 rows at very low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:52.937Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-daily-sum-series-iqr-outlier-flags-460b82b8"}