{"uid":"cap_Im-TIfth7Lcl8eSlbaeNG","slug":"save-files-record-quality-audit-string-normalisation-keyed-dataset-b76df197","name":"Save Files — Record Quality Audit + String Normalisation + Keyed Dataset Comparison","description":"Save files — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison 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-13-207?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}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"save_kb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"write_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","save_kb":10,"write_ms":1,"game_area":"group-a"},{"date":"2026-10-02","row_id":"row-2","save_kb":20,"write_ms":2,"game_area":"group-b"},{"date":"2026-10-03","row_id":"row-3","save_kb":15,"write_ms":3,"game_area":"group-a"},{"date":"2026-10-04","row_id":"row-4","save_kb":30,"write_ms":4,"game_area":"group-b"}],"maxItems":200,"minItems":1},"other":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","save_kb","write_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","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":21,"write_ms":2,"game_area":"group-b"},{"date":"2026-10-03","row_id":"row-3","save_kb":17,"write_ms":3,"game_area":"group-a"},{"date":"2026-10-04","row_id":"row-4","save_kb":33,"write_ms":4,"game_area":"group-b"}],"maxItems":200,"minItems":0}}},"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_q14S_7WKVApP-wsx1Gt-I","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 compares two keyed save-file datasets (save_kb, write_ms) across up to 200 rows, returning 3 independent analytical reports.","exampleAgentPrompt":"Can you audit the quality, normalize the game_area strings, and do a keyed comparison between these two sets of save file records? The primary dataset has rows like row-1 on 2026-10-01 for group-a with save_kb=10 and write_ms=1, and the comparison dataset has similar rows with slightly different save_kb and write_ms values.","exampleUseCases":[{"title":"Detecting save file data drift between patches","prompt":"I have two snapshots of save file metrics from before and after our last patch — can you compare them row by row using row_id as the key, audit for quality issues, and normalize the game_area labels? Primary set has 50 rows with save_kb and write_ms values, and so does the comparison set."},{"title":"Cleaning messy game area labels in save logs","prompt":"My save file logs have inconsistent game_area strings like 'Group-A', 'group a', 'GROUP_A' — can you normalize them and also run a quality audit on the save_kb and write_ms columns for up to 150 rows?"},{"title":"QA check before merging save file datasets","prompt":"Before I merge these two save file record sets, can you run a keyed dataset comparison on them using row_id, flag any quality issues in save_kb and write_ms, and normalize the game_area strings? Each set has about 80 rows dated between 2026-10-01 and 2026-12-31."}],"resultDescription":"Three independent reports: (1) a record quality audit flagging missing, null, or out-of-range values in save_kb and write_ms; (2) a string normalisation report for the game_area field; and (3) a keyed dataset comparison identifying row-level differences between the primary and secondary datasets matched on row_id.","failureModes":["More than 200 rows submitted — request rejected with maxItems validation error","Missing required fields (row_id, game_area, date, save_kb, write_ms) in any row — schema validation error","Date field does not match YYYY-MM-DD pattern — validation error","Empty rows array — minItems:1 constraint violation","Numeric values outside allowed range (-1e12 to 1e12) for save_kb or write_ms — validation error"],"whenToPreferThis":"Choose this endpoint when you need three bundled analytical operations — record quality auditing, string normalisation, and keyed cross-dataset comparison — on game save file records (save_kb, write_ms) in a single $0.01 call. Ideal for game developers, QA engineers, or data pipelines that need to validate and reconcile save file metrics across two dataset snapshots without any external lookups or live data fetching.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:41:45.704Z","isFirstParty":false,"canonicalSlug":"save-files-record-quality-audit-string-normalisation-keyed-dataset-b76df197"}