{"uid":"cap_9fgAfbjG7IlYkW8qOM_w-","slug":"save-files-data-quality-audit-string-normalisation-numeric-interval-aa12549d","name":"Save Files Data Quality Audit — String Normalisation & Numeric Interval Filter","description":"Save files — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied save files records (save_kb, write_ms). 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-game-13-197?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","save_kb","write_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"save_kb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"write_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","save_kb":10,"write_ms":1,"game_area":"group-a"},{"date":"2026-10-02","row_id":"row-2","save_kb":20,"write_ms":2,"game_area":"group-b"},{"date":"2026-10-03","row_id":"row-3","save_kb":15,"write_ms":3,"game_area":"group-a"},{"date":"2026-10-04","row_id":"row-4","save_kb":30,"write_ms":4,"game_area":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["save_kb","write_ms"],"type":"string","default":"save_kb"},"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_VdwV8aKLY41MVN3HU5Anu","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 record quality, normalises strings, and filters by numeric interval for save-file records containing save_kb and write_ms fields, returning 3 independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and numeric interval filter on these 50 game save records — filter the save_kb field between 0 and 500 — here's the row data with row_id, game_area, date, save_kb, and write_ms for each entry?","exampleUseCases":[{"title":"Game save size range validation","prompt":"I have 120 game save records and I want to audit their quality, normalise the game_area strings, and filter out any rows where save_kb falls outside 10 to 800 — can you run all three reports on this dataset?"},{"title":"Write time outlier detection","prompt":"Can you check these 80 save file rows for record quality issues, clean up the string fields, and flag any entries where write_ms is below 0 or above 5000 so I can spot outliers?"},{"title":"Pre-pipeline data cleansing for save records","prompt":"Before I load these 200 save file records into our pipeline, run a quality audit, normalise the strings, and filter the write_ms field to only keep rows between 1 and 2000 — give me all three reports."}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit identifying malformed, missing, or inconsistent entries; (2) a string normalisation report detailing transformations applied to text fields like game_area; and (3) a numeric interval filter report showing which rows fall within or outside the specified minimum–maximum range for the chosen field (save_kb or write_ms). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted — request rejected with maxItems violation","Invalid date format (not YYYY-MM-DD) causes schema validation failure","minimum greater than maximum yields no rows passing the interval filter","Unrecognised field value (not save_kb or write_ms) causes enum validation error","Null numeric values in save_kb or write_ms may be flagged in the quality audit report"],"whenToPreferThis":"Choose this endpoint when you need all three of record quality auditing, string normalisation, and numeric interval filtering applied together to game save file records in a single cost-efficient call. It is ideal for batch pre-processing up to 200 rows of save file data before ingestion into a pipeline, and particularly suited when working with game telemetry data structured around save_kb and write_ms metrics. Prefer it over general-purpose data tools when you want bundled, local analytical reports without any external data lookups or live enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:42:17.913Z","isFirstParty":false,"canonicalSlug":"save-files-data-quality-audit-string-normalisation-numeric-interval-aa12549d"}