{"uid":"cap_w8nXdKr-24uCF6-Cj5IZO","slug":"save-files-record-quality-audit-date-by-category-pivot-22a9e0ac","name":"Save Files Record Quality Audit + Date by Category Pivot","description":"Save files — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot for supplied save files records (save_kb, write_ms). 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-game-13-017?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"}}},"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_SyRsET7FK8yAyDVvgEuTK","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":"Analyzes up to 200 game save-file records, producing two local analytical reports: a record quality audit and a date-by-category pivot on save_kb or write_ms metrics.","exampleAgentPrompt":"Can you run a record quality audit and a date-by-category pivot on my game save file data — I have 4 rows with fields row_id, game_area, date, save_kb, and write_ms — and focus the pivot on the save_kb field?","exampleUseCases":[{"title":"Game save data quality check","prompt":"I have 150 rows of game save records with row IDs, game areas, dates, save sizes in KB, and write times in ms — can you run a record quality audit on them and also pivot the save_kb values by date and game area so I can see any patterns?"},{"title":"Write latency pivot by game zone","prompt":"Run a date-by-category pivot on write_ms for my 80 game save records — each row has a row_id, game_area, date, save_kb, and write_ms — and also give me a quality audit so I know if any rows are missing or malformed."},{"title":"Pre-release save system validation","prompt":"Before our game ships, I want to audit 200 rows of save file test data for record quality issues and see a pivot of save_kb broken down by game_area and date — the rows include row_id, game_area, date, save_kb, and write_ms fields."}],"resultDescription":"Two structured analytical reports: (1) a record quality audit flagging completeness, nulls, and anomalies across the supplied rows, and (2) a date-by-category pivot table aggregating the chosen metric (save_kb or write_ms) by date and game_area. Both are computed locally from the supplied data with no external lookups.","failureModes":["Submitting more than 200 rows returns an error or truncation","Missing required fields (row_id, game_area, date, save_kb, write_ms) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers a schema rejection","Null numeric values are accepted but may reduce pivot meaningfulness","Invalid field enum value (not save_kb or write_ms) causes a request error","Payment of 0.01 USDC must accompany the request; failure to pay returns 402"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of game save-file records and need both a record quality audit and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for game developers or analysts who want fast, offline analytical summaries without live lookups or external data enrichment. Prefer it over general-purpose analytics when your data has the specific save_kb/write_ms schema and you need both reports bundled together.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:32:21.757Z","isFirstParty":false,"canonicalSlug":"save-files-record-quality-audit-date-by-category-pivot-22a9e0ac"}