{"uid":"cap_ox-liw0wIcM7Eh9m9PiJx","slug":"simulation-caches-record-quality-audit-string-normalisation-grouped-12b53e07","name":"Simulation Caches — Record Quality Audit + String Normalisation + Grouped Numeric Summary","description":"Simulation caches — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied simulation caches records (cache_gb, simulation_seconds). 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-creative-08-194?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},"field":{"enum":["cache_gb","simulation_seconds"],"type":"string","default":"cache_gb"}}},"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_Bb3c62mNjNFwHcsHeKAa2","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 simulation cache records: a data quality audit, string normalisation, and grouped numeric summary — all in one call for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and grouped numeric summary on these simulation cache records — I have 4 rows with fields row_id, asset_group, date, cache_gb, and simulation_seconds — and summarise by cache_gb?","exampleUseCases":[{"title":"Simulation cache data quality check","prompt":"I have a batch of simulation cache records with cache_gb and simulation_seconds values — can you audit them for quality issues, normalise the string fields, and give me a grouped numeric summary broken down by asset_group? Here are 50 rows."},{"title":"Grouped summary of cache sizes","prompt":"Can you analyse these 120 simulation cache rows and give me a grouped numeric summary of cache_gb by asset group, along with a quality audit and string normalisation report?"},{"title":"Pre-pipeline data validation for sim records","prompt":"Before I load these simulation cache records into our pipeline, can you run a quality audit and string normalisation pass on all 200 rows, and also summarise simulation_seconds by group so I can spot anomalies?"}],"resultDescription":"Returns three independent analytical reports: (1) a record quality audit flagging data issues such as nulls, out-of-range values, or malformed dates; (2) a string normalisation report cleaning and standardising text fields like asset_group; and (3) a grouped numeric summary aggregating cache_gb or simulation_seconds by category. All computed locally without external lookups.","failureModes":["Exceeding 200 rows returns an error or truncation","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause validation failure","Malformed date strings not matching YYYY-MM-DD pattern may be flagged or rejected","Numeric values outside the allowed range trigger schema validation errors","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need three combined analytical operations — quality auditing, string normalisation, and grouped numeric summarisation — on simulation cache data (cache_gb, simulation_seconds) in a single cost-efficient call. Ideal when you want offline, local computation without any external lookups, predictions, or live data dependencies, and your dataset fits within 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T00:48:52.876Z","isFirstParty":false,"canonicalSlug":"simulation-caches-record-quality-audit-string-normalisation-grouped-12b53e07"}