{"uid":"cap_FRUu6fWxMi99ASi9hh4J4","slug":"settlement-timing-analytics-record-quality-audit-string-normalisation-66e4a767","name":"Settlement Timing Analytics — Record Quality Audit + String Normalisation + Base-100 Series","description":"Settlement timing — Record quality audit + String normalisation + Base-100 series: Record quality audit + String normalisation + Base-100 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-18-201?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_d5NDiXa0j260_aZ8ph3ai","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 (record quality audit, string normalisation, and base-100 index series) on supplied settlement timing data rows containing settlement_minutes and payment_count fields.","exampleAgentPrompt":"Can you run a full three-part analysis on my settlement timing data — quality audit, string normalisation, and a base-100 series rebased on row 0 — for the field settlement_minutes? I have about 50 rows covering instrument groups like 'FX-spot' and 'equities' with dates in October 2026.","exampleUseCases":[{"title":"Payment rail benchmarking across instrument groups","prompt":"I have 120 rows of daily settlement data for three instrument groups — equities, FX-spot, and bonds — with dates from 2026-01-01 to 2026-04-30. Can you rebase the settlement_minutes field to row 0 and give me the base-100 series alongside a quality audit so I can compare how each group's settlement speed trends over time?"},{"title":"Data quality check before regulatory reporting","prompt":"Before I submit our settlement timing records to compliance, can you audit this batch of 80 rows for record quality issues and normalise the instrument_group strings? The rows have settlement_minutes and payment_count fields and dates ranging through Q3 2026."},{"title":"String hygiene cleanup for settlement data pipeline","prompt":"Our data pipeline ingested settlement timing records from three counterparties and the instrument_group labels are inconsistently formatted — mixed case, extra spaces, etc. Can you run string normalisation plus a record quality audit on these 60 rows so I know what needs fixing before we load them into the warehouse?"}],"resultDescription":"Three independent analytical reports delivered in a single response: (1) a record quality audit flagging missing values, outliers, or structural issues in the supplied rows; (2) a string normalisation report standardising the instrument_group and other string fields; (3) a base-100 index series for the selected numeric field (settlement_minutes or payment_count) rebased at the specified row index. All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows submitted — request rejected","Invalid date format (not YYYY-MM-DD) — validation error","base_index out of range (0–199) for the submitted row count — error","Numeric values outside allowed range (±1,000,000,000,000) — rejected","Missing required fields (row_id, instrument_group, date, settlement_minutes, payment_count) — validation error","Payment not received or insufficient USDC — 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need three distinct analytical passes — quality audit, string normalisation, and base-100 rebasing — on settlement timing data in a single low-cost call. It is ideal for finance and data-ops workflows where you want to validate, clean, and index up to 200 rows of settlement_minutes or payment_count records without any external lookups, predictions, or live data dependencies. Prefer it over single-report endpoints when bundling three reports in one $0.01 payment is more efficient than separate calls.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:32:22.751Z","isFirstParty":false,"canonicalSlug":"settlement-timing-analytics-record-quality-audit-string-normalisation-66e4a767"}