{"uid":"cap_yaf9D-NmoYPZlolJgIMe9","slug":"settlement-timing-analytics-record-quality-audit-string-normalisation-fa96eef9","name":"Settlement Timing Analytics — Record Quality Audit, String Normalisation & Trailing Mean Series","description":"Settlement timing — Record quality audit + String normalisation + Trailing mean series: Record quality audit + String normalisation + Trailing mean series for supplied settlement timing records (settlement_minutes, payment_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-finance-18-199?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","settlement_minutes","payment_count"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"payment_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80},"settlement_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","payment_count":1,"instrument_group":"group-a","settlement_minutes":10},{"date":"2026-10-02","row_id":"row-2","payment_count":2,"instrument_group":"group-b","settlement_minutes":20},{"date":"2026-10-03","row_id":"row-3","payment_count":3,"instrument_group":"group-a","settlement_minutes":15},{"date":"2026-10-04","row_id":"row-4","payment_count":4,"instrument_group":"group-b","settlement_minutes":30}],"maxItems":200,"minItems":1},"field":{"enum":["settlement_minutes","payment_count"],"type":"string","default":"settlement_minutes"},"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_Sq6RD9BXSBdvOxeUN4mND","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 three local analytical reports on settlement timing records: a record quality audit, string normalisation, and a trailing mean time series — no external lookups or predictions.","exampleAgentPrompt":"Can you audit the quality of my settlement timing records, normalise the instrument group strings, and compute a trailing mean series for settlement_minutes with a window of 3 — here are up to 200 rows with row_id, instrument_group, date, settlement_minutes, and payment_count?","exampleUseCases":[{"title":"Payment settlement data quality check","prompt":"I have 150 rows of settlement timing data with columns row_id, date, instrument_group, settlement_minutes, and payment_count. Can you run a record quality audit on them so I can spot missing values, outliers, or formatting issues?"},{"title":"Rolling average on settlement minutes","prompt":"Can you compute a trailing mean series for settlement_minutes across my settlement records using a rolling window of 5? I'll supply the rows with dates, instrument groups, and payment counts."},{"title":"Normalising instrument group labels in bulk","prompt":"My settlement timing dataset has inconsistent instrument_group strings across 80 rows. Can you run a string normalisation report on them so I get clean, consistent labels back?"}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging data issues such as nulls, out-of-range values, or malformed fields; (2) a string normalisation report for instrument_group and other string fields; and (3) a trailing mean time series for the selected numeric field (settlement_minutes or payment_count) computed over the specified rolling window. All processing is local with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows submitted — exceeds limit","Invalid date format (not YYYY-MM-DD) — validation error","window parameter below 2 or above 200 — rejected","field enum value not 'settlement_minutes' or 'payment_count' — invalid input","Missing required row fields (row_id, instrument_group, date) — schema validation failure","Numeric values outside allowed range — rejected"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — quality auditing, string normalisation, and rolling mean computation — on settlement timing records in a single low-cost call. It is ideal for batch data cleaning and exploratory analysis pipelines where you want local computation with no external dependencies. Prefer it over separate single-purpose tools when your dataset fits within 200 rows and you need all three reports simultaneously at $0.01 USDC.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:33:32.914Z","isFirstParty":false,"canonicalSlug":"settlement-timing-analytics-record-quality-audit-string-normalisation-fa96eef9"}