{"uid":"cap_Mr2otr8w47n5MAymQDh8D","slug":"liquidity-observations-data-quality-suite-audit-deduplication-58202f25","name":"Liquidity Observations Data Quality Suite — Audit, Deduplication & Interval Filter","description":"Liquidity observations — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied liquidity observations records (base_quantity, quote_quantity). 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-10-214?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},"field":{"enum":["base_quantity","quote_quantity"],"type":"string","default":"base_quantity"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_VrgJDk-faqzTzaZbKiXat","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 supplied liquidity observation rows: a record quality audit, exact row deduplication, and a numeric interval filter on base_quantity or quote_quantity.","exampleAgentPrompt":"Can you audit the quality of these liquidity observation rows, remove exact duplicates, and filter to only keep rows where base_quantity is between 0 and 100? I have up to 50 rows with fields row_id, instrument_group, date, base_quantity, and quote_quantity.","exampleUseCases":[{"title":"Pre-analysis liquidity data cleanup","prompt":"I have 80 rows of liquidity observations with base_quantity and quote_quantity values — can you run a quality audit on them, deduplicate any exact repeat rows, and filter to only rows where base_quantity falls between 5 and 500 so I can clean the data before running my analysis?"},{"title":"Duplicate detection in instrument group feeds","prompt":"Our market data pipeline sometimes pushes duplicate liquidity records for instrument groups. Can you scan these 120 rows and give me an exact deduplication report, plus a quality audit so I can see which records are malformed?"},{"title":"Interval-based outlier removal for quote quantities","prompt":"I need to filter out extreme outlier rows from this liquidity dataset — keep only rows where quote_quantity is between 1 and 10000. Also run a quality audit and deduplication check on all 150 rows while you're at it."}],"resultDescription":"Three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed field values across the supplied rows; (2) an exact row deduplication report identifying and removing fully identical records; (3) a numeric interval filter report listing rows where the selected field (base_quantity or quote_quantity) falls within the specified minimum-maximum range. All computed locally with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds row limit","Invalid date format (not YYYY-MM-DD) — validation error","Numeric field values outside ±1,000,000,000,000 — schema rejection","Missing required fields (row_id, instrument_group, date, base_quantity, quote_quantity) — schema error","Minimum value greater than maximum value — undefined filter behavior","Payment of 0.01 USDC not completed — 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of liquidity observation data (base_quantity, quote_quantity) and need all three of a quality audit, deduplication, and numeric range filter in a single low-cost call. It is ideal for pre-processing market liquidity feeds before downstream analytics, where no live market data lookup or external enrichment is needed — only local, deterministic data quality operations on your own supplied rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:43:22.588Z","isFirstParty":false,"canonicalSlug":"liquidity-observations-data-quality-suite-audit-deduplication-58202f25"}