{"uid":"cap_mH5xzshPYbZtFqa_26EfG","slug":"transaction-fee-observations-equal-width-histogram-iqr-outlier-flags-1ad1c95b","name":"Transaction Fee Observations — Equal-Width Histogram + IQR Outlier Flags","description":"Transaction fee observations — Equal-width histogram + IQR outlier flags: Equal-width histogram + 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-03-170?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_tpbTf5OJLI1oFEHrWalCb","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":"Generates an equal-width histogram and IQR-based outlier flags for user-supplied transaction fee observation records, analyzing fee_units or transaction_count fields.","exampleAgentPrompt":"Analyze my transaction fee data — I have 50 rows with fee_units and transaction_count fields for various instrument groups — bucket the fee_units into 10 equal-width bins and flag any IQR outliers.","exampleUseCases":[{"title":"Blockchain fee anomaly detection","prompt":"I've got 120 rows of on-chain transaction fee observations with dates and instrument groups. Can you run a histogram with 8 bins on the fee_units field and flag which rows look like outliers based on IQR?"},{"title":"Exchange fee distribution review","prompt":"Here are 80 transaction records from our exchange — each has a row_id, instrument_group, date, fee_units, and transaction_count. Bucket the transaction_count into 5 equal-width bins and use IQR to flag the unusual ones."},{"title":"Daily fee QA for finance ops","prompt":"I need a quick statistical check on today's fee log — 40 rows, one per instrument. Run an equal-width histogram with 6 bins on fee_units and tell me which rows are IQR outliers so I can review them before EOD."}],"resultDescription":"Returns two analytical reports sharing the same dataset: (1) an equal-width histogram showing bin boundaries and record counts for the selected field, and (2) IQR-based outlier flags identifying which rows have values outside the interquartile fence. Up to 200 rows supported per call.","failureModes":["Exceeds 200-row limit — request rejected","Missing required fields (row_id, date, fee_units, transaction_count) on any row — validation error","Bins parameter out of range (must be 1–30) — error returned","Null values in the selected analysis field may reduce histogram accuracy","Date field not matching YYYY-MM-DD pattern — validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of transaction fee or count data and need both a distributional summary (histogram) and anomaly detection (IQR outliers) in a single low-cost call. It is best suited for offline/batch QA workflows, not real-time streaming. Prefer it over general-purpose analytics tools when you want a deterministic, reproducible statistical summary with no external data dependencies.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:32.572Z","isFirstParty":false,"canonicalSlug":"transaction-fee-observations-equal-width-histogram-iqr-outlier-flags-1ad1c95b"}