{"uid":"cap_JWhBRG3vvypYKPDRSiLIo","slug":"liquidity-observations-string-normalisation-duplicate-key-report-190cc559","name":"Liquidity Observations — String Normalisation + Duplicate Key Report","description":"Liquidity observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied liquidity observations records (base_quantity, quote_quantity). 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-10-021?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","instrument_group","date","base_quantity","quote_quantity"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"base_quantity":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"quote_quantity":{"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","base_quantity":10,"quote_quantity":1,"instrument_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","base_quantity":20,"quote_quantity":2,"instrument_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","base_quantity":15,"quote_quantity":3,"instrument_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","base_quantity":30,"quote_quantity":4,"instrument_group":"group-b"}],"maxItems":200,"minItems":1}}},"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_hmembLr7K1aH8K6vRPhhO","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 string normalisation and duplicate key detection reports on up to 200 liquidity observation records containing base and quote quantities.","exampleAgentPrompt":"Can you run a string normalisation and duplicate key check on my liquidity observations? I have about 50 rows each with a row_id, instrument_group, date, base_quantity, and quote_quantity — I want to see both reports for $0.01.","exampleUseCases":[{"title":"Audit trading desk liquidity records","prompt":"I have 120 rows of liquidity observations from our trading desk — each row has a row_id, instrument_group like 'ETH-USD', a date, base_quantity, and quote_quantity. Can you run a duplicate key report and string normalisation check on all of them so I can spot any inconsistencies before we submit?"},{"title":"Clean instrument group labels before analysis","prompt":"Before I run my liquidity analysis, I need to normalise the instrument_group strings in my dataset — things like 'group-a', 'Group-A', 'GROUP_A' are all the same group. I have 80 rows with base_quantity and quote_quantity fields. Can you get me the string normalisation report?"},{"title":"Detect duplicate row IDs in market data export","prompt":"I exported 200 rows of liquidity observations from our market data system and I'm worried there are duplicate row_ids mixed in. Can you run the duplicate key detection report on the full set — each row has a date, instrument_group, base_quantity, and quote_quantity?"}],"resultDescription":"Two independent analytical reports: (1) a string normalisation report identifying and standardising string fields such as instrument_group across the submitted rows, and (2) a duplicate key report flagging rows with repeated identifiers or key combinations within the supplied dataset. No external lookups or live data are used; all analysis is performed locally on the submitted rows.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, instrument_group, date, base_quantity, quote_quantity) cause row-level rejection","Dates not matching YYYY-MM-DD pattern are rejected","Quantities outside ±1,000,000,000,000 fail schema validation","Payment failure via x402 protocol blocks request processing"],"whenToPreferThis":"Choose this endpoint when you need fast, offline data quality checks — specifically string normalisation and duplicate key detection — on liquidity observation records (base_quantity, quote_quantity) without requiring any live market data lookup, prediction, or external enrichment. Best suited for pre-analysis data cleaning pipelines handling up to 200 rows at a fixed low cost of $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:32:20.898Z","isFirstParty":false,"canonicalSlug":"liquidity-observations-string-normalisation-duplicate-key-report-190cc559"}