{"uid":"cap_9c-i7GUtLq8mfviNWc2DW","slug":"simulation-caches-record-quality-audit-string-normalisation-adjacent-dd99a8c2","name":"Simulation Caches — Record Quality Audit + String Normalisation + Adjacent Row Changes","description":"Simulation caches — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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-08-200?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_srYrkQmF7vkp47wMsgssG","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: record quality audit, string normalisation, and adjacent row change detection for cache_gb and simulation_seconds fields.","exampleAgentPrompt":"Can you run the three-report quality audit on these simulation cache records — auditing record quality, normalising strings, and detecting adjacent row changes for the cache_gb field? Here are my rows: [{\"row_id\":\"r1\",\"asset_group\":\"group-a\",\"date\":\"2026-10-01\",\"cache_gb\":10,\"simulation_seconds\":1},{\"row_id\":\"r2\",\"asset_group\":\"group-b\",\"date\":\"2026-10-02\",\"cache_gb\":20,\"simulation_seconds\":2}].","exampleUseCases":[{"title":"Pre-pipeline cache data hygiene check","prompt":"Before I load these simulation cache records into the pipeline, can you audit their quality, normalise the string fields, and flag any sharp changes between adjacent rows in the cache_gb column? I have about 50 rows to check."},{"title":"Detecting anomalous simulation duration jumps","prompt":"I want to spot any sudden jumps or drops between consecutive rows in the simulation_seconds field — can you run the adjacent row changes report on my 120 simulation cache records, along with the full quality audit and string normalisation?"},{"title":"Validating asset group naming consistency","prompt":"My simulation cache export might have inconsistent asset_group names — can you run the string normalisation report along with the record quality audit and adjacent row change detection on these 80 rows so I can clean them up?"}],"resultDescription":"Three independent analytical reports generated locally without external lookups: (1) a record quality audit flagging missing, out-of-range, or malformed values; (2) a string normalisation report highlighting inconsistent or non-standard string entries in fields like asset_group; and (3) an adjacent row changes report showing step-changes or anomalies between consecutive rows for the selected numeric field (cache_gb or simulation_seconds). Covers up to 200 rows per call.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, asset_group, date, cache_gb, simulation_seconds) cause row-level errors","Invalid date format (must match YYYY-MM-DD pattern) causes validation failure","Field selector not one of the accepted enum values (cache_gb, simulation_seconds) causes error","Empty rows array causes rejection"],"whenToPreferThis":"Choose this endpoint when you have simulation cache tabular data (cache_gb, simulation_seconds per asset_group and date) and need all three of record quality auditing, string normalisation, and adjacent-row change detection in a single low-cost call. It is particularly suited for pre-pipeline data hygiene checks on up to 200 rows where no live lookups, predictions, or external actions are needed. Prefer it over general-purpose data quality tools when your data specifically follows this simulation cache schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T18:57:08.183Z","isFirstParty":false,"canonicalSlug":"simulation-caches-record-quality-audit-string-normalisation-adjacent-dd99a8c2"}