{"uid":"cap_00QTOl1Hyg2NfH9tz3fdh","slug":"exchange-quote-observations-record-quality-audit-string-normalisation-e1d10d6f","name":"Exchange Quote Observations — Record Quality Audit, String Normalisation & Numeric Row Ordering","description":"Exchange quote observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied exchange quote observations records (bid_price, ask_price). 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-04-196?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","bid_price","ask_price"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"ask_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"bid_price":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"instrument_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","ask_price":1,"bid_price":10,"instrument_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","ask_price":2,"bid_price":20,"instrument_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","ask_price":3,"bid_price":15,"instrument_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","ask_price":4,"bid_price":30,"instrument_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["bid_price","ask_price"],"type":"string","default":"bid_price"}}},"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_Gb_f3PBpCrqNpryABCgWm","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":"Audits data quality, normalises strings, and orders rows numerically for up to 200 exchange quote observation records containing bid and ask prices.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric row ordering on my exchange quote observations? I have rows with bid_price and ask_price fields across instrument groups — here's my dataset of up to 200 rows — and I want to analyse the bid_price field.","exampleUseCases":[{"title":"Daily market data quality check","prompt":"I've got today's exchange quote observations for our equity instruments — each row has a row_id, date, instrument_group, bid_price, and ask_price. Can you run the full quality audit, string normalisation, and numeric row ordering on them so I can spot any data issues before we use them in analysis? Use bid_price as the numeric field."},{"title":"Pre-trade data cleansing for ask prices","prompt":"Before we run our trading models, I need to audit and normalise our ask price data. Here are 150 rows of quote observations — can you check data quality, normalise the instrument group strings, and order the rows by ask_price for me?"},{"title":"Instrument group quote data validation","prompt":"We received a batch of exchange quote records from our data vendor — around 80 rows covering multiple instrument groups with bid and ask prices. Can you do a record quality audit and string normalisation on them, and also give me numeric row ordering by bid_price so I can see which records look suspicious?"}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit flagging data issues in the supplied exchange quote rows, (2) string normalisation results for text fields such as instrument_group, and (3) numeric row ordering of the selected price field (bid_price or ask_price). All reports are generated from the supplied data using local analytical engines with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, instrument_group, date, bid_price, ask_price) cause validation errors","Invalid date format (non YYYY-MM-DD) rejected by pattern constraint","field selector not one of 'bid_price' or 'ask_price' causes enum validation failure","Empty rows array (minItems:1 not met) returns error","Numeric values outside allowed range (-1e12 to 1e12) rejected","Payment of 0.01 USDC not fulfilled causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have a batch of raw exchange quote records (bid/ask prices with instrument groups and dates) and need three bundled local analytical reports — quality audit, string normalisation, and numeric ordering — in a single low-cost call. It is ideal for pre-processing market data before downstream analysis, model ingestion, or reporting, especially when you want a cost-effective audit of up to 200 rows without needing live data lookups or external price feeds.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:06.616Z","isFirstParty":false,"canonicalSlug":"exchange-quote-observations-record-quality-audit-string-normalisation-e1d10d6f"}