{"uid":"cap_35Dgpe1Nd4ZCMFovQD4jo","slug":"simulation-caches-record-quality-audit-string-normalisation-78cdae52","name":"Simulation Caches — Record Quality Audit + String Normalisation","description":"Simulation caches — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied simulation caches records (cache_gb, simulation_seconds). 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-creative-08-001?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","cache_gb","simulation_seconds"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"cache_gb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"asset_group":{"type":"string","default":"","maxLength":80},"simulation_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","cache_gb":10,"asset_group":"group-a","simulation_seconds":1},{"date":"2026-10-02","row_id":"row-2","cache_gb":20,"asset_group":"group-b","simulation_seconds":2},{"date":"2026-10-03","row_id":"row-3","cache_gb":15,"asset_group":"group-a","simulation_seconds":3},{"date":"2026-10-04","row_id":"row-4","cache_gb":30,"asset_group":"group-b","simulation_seconds":4}],"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_9CawC3xrhbn51qJqCk52K","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 and normalises strings for simulation cache records (cache_gb, simulation_seconds) across up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and string normalisation on my simulation cache data? I have rows with fields like row_id, asset_group, date, cache_gb, and simulation_seconds — here are up to 200 rows I'd like checked for quality issues and normalised strings.","exampleUseCases":[{"title":"Simulation pipeline data hygiene check","prompt":"I have a batch of simulation cache records from last month with asset_group labels like 'Group A', 'group-a', and 'GROUP A' — can you audit the data quality and normalise those strings so everything is consistent? Here are the rows with their cache_gb and simulation_seconds values."},{"title":"Flagging bad values in cache size data","prompt":"Some of my simulation cache records look suspicious — a few cache_gb values seem way off and some simulation_seconds entries might be null or negative. Can you run a quality audit on these 150 rows and tell me what's wrong?"},{"title":"Preparing simulation data for downstream reporting","prompt":"Before I hand off this simulation cache dataset to my reporting team, I need a quality audit and string normalisation pass on the asset_group column. Can you process these records — they span dates from 2026-10-01 to 2026-10-31 with cache_gb and simulation_seconds fields — and give me the two reports?"}],"resultDescription":"Two independent analytical reports: (1) a record quality audit identifying data issues such as missing values, out-of-range numbers, type errors, or anomalies in cache_gb and simulation_seconds fields; (2) a string normalisation report for text fields like asset_group, flagging and correcting inconsistent casing, whitespace, or formatting. Both reports are generated from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, cache_gb, simulation_seconds, asset_group) cause row-level rejection","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside allowed range cause schema rejection","Empty rows array returns an error","Payment failure via x402 protocol prevents processing"],"whenToPreferThis":"Choose this endpoint when you need to simultaneously audit the data quality of simulation cache records and normalise string fields in a single API call for up to 200 rows. It is ideal for data engineering pipelines that process simulation performance data (cache size and duration) and need both a quality gate and string standardisation before downstream use. Prefer this over generic data quality tools when your domain is specifically simulation cache metrics with the cache_gb and simulation_seconds schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:02.210Z","isFirstParty":false,"canonicalSlug":"simulation-caches-record-quality-audit-string-normalisation-78cdae52"}