{"uid":"cap_MmpZj-R-XznDFZDRVB5BJ","slug":"transaction-fee-observations-numeric-interval-filter-iqr-outlier-flags-6b920528","name":"Transaction Fee Observations — Numeric Interval Filter + IQR Outlier Flags","description":"Transaction fee observations — Numeric interval filter + IQR outlier flags: Numeric interval filter + 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-03-130?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_V0JNogA6WH0VZyq-LuTeb","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":"Applies a numeric interval filter and IQR-based outlier detection to user-supplied transaction fee observation records, returning up to 2 analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 transaction fee records with fee_units and transaction_count columns — can you filter them to keep only rows where fee_units is between 0 and 500, and also flag any IQR outliers in the fee_units field?","exampleUseCases":[{"title":"Fee spike detection for trading desk","prompt":"I've got daily fee_units and transaction_count records for two instrument groups over the past quarter — can you filter fee_units between 5 and 2000 and flag any IQR outliers so I can spot abnormal fee days?"},{"title":"Transaction count anomaly audit","prompt":"Run an IQR outlier analysis on my transaction_count field for these 80 rows, filtering to counts between 1 and 10000, so I can identify which dates had statistically unusual trading volumes."},{"title":"Cross-group fee range validation","prompt":"I need to validate my fee observation data across group-a and group-b instrument groups — filter fee_units from 0 to 750 and flag outliers using IQR so I know which rows to investigate before submitting the report."}],"resultDescription":"Returns up to 2 analytical reports: one showing rows that pass the specified numeric interval filter on the chosen field, and one flagging IQR-based outliers in that field — all computed locally against the supplied data without external lookups.","failureModes":["Fewer than 1 row supplied returns an error","More than 200 rows submitted exceeds the row limit","Invalid date format (non-YYYY-MM-DD) causes validation failure","Field value outside ±1,000,000,000,000 bounds rejected","Missing required fields (row_id, fee_units, transaction_count, instrument_group, date) cause schema validation errors","Non-numeric values in fee_units or transaction_count rejected if not null"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transaction fee observations and need both a numeric range filter and IQR outlier flagging applied to fee_units or transaction_count in a single paid call — especially useful for lightweight, offline-style statistical QA on financial fee data without needing a full analytics platform.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:49.431Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-numeric-interval-filter-iqr-outlier-flags-6b920528"}