{"uid":"cap_KZVSNb_rDn2R7qYC1f3BM","slug":"transaction-fee-observations-iqr-outlier-flags-two-measure-correlation-852896cd","name":"Transaction Fee Observations — IQR Outlier Flags + Two-Measure Correlation","description":"Transaction fee observations — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation 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-03-176?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_Y2P6slO3hhJAzeWr9bTnl","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 IQR-based outlier detection and two-measure correlation analysis on supplied transaction fee observation records (fee_units and transaction_count).","exampleAgentPrompt":"Can you run IQR outlier detection and correlation analysis on these transaction fee records? I have up to 200 rows with fee_units and transaction_count per instrument group and date — flag any outliers and tell me how the two measures correlate.","exampleUseCases":[{"title":"Flag fee spikes in daily settlement data","prompt":"I have daily settlement fee records across two instrument groups for the past quarter — can you flag any fee_units values that look like IQR outliers and also tell me whether fee size correlates with transaction count?"},{"title":"Audit fee data quality before reporting","prompt":"Before I submit our monthly fee report, can you run an IQR outlier check on fee_units and a correlation check between fee_units and transaction_count across these 150 rows to catch anything suspicious?"},{"title":"Analyze fee behavior across instrument groups","prompt":"Here are transaction fee observations grouped by instrument type over several weeks — please identify which rows have outlier fee_units values using IQR and show me whether higher transaction counts tend to correlate with higher fees."}],"resultDescription":"Two independent analytical reports: (1) IQR outlier flags identifying which rows have fee_units (or transaction_count) values that fall outside the interquartile range bounds, and (2) a two-measure correlation report quantifying the statistical relationship between fee_units and transaction_count across the supplied rows. Results are derived purely from the submitted data with no external lookups.","failureModes":["Input array is empty or missing required fields (row_id, date, fee_units, transaction_count, instrument_group) — validation error returned","More than 200 rows submitted — request rejected due to row limit","All values in the measured field are null — IQR and correlation cannot be computed","Insufficient variance in data (e.g. all identical values) — correlation undefined or degenerate result","Malformed date strings not matching YYYY-MM-DD pattern — schema validation failure","Payment of 0.01 USDC not completed — request blocked"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transaction fee observation records and need both IQR-based outlier detection and two-measure correlation analysis in a single low-cost call ($0.01 USDC). It is ideal for lightweight, self-contained statistical QA on fee data where no external data sources, predictions, or live lookups are required — all computation is local and deterministic. Prefer this over general-purpose analytics platforms when you want a finance-specific, pay-per-use micro-analytical service bundling two reports in one request.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:22.097Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-iqr-outlier-flags-two-measure-correlation-852896cd"}