{"uid":"cap_qav9xeCSGdR9lJr-GL-Lc","slug":"save-files-string-normalisation-grouped-numeric-summary-5cbf28d9","name":"Save Files — String Normalisation + Grouped Numeric Summary","description":"Save files — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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-13-023?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_Vy7lxTygofN1bLXLrcVBW","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 game save file records by normalizing string fields and producing grouped numeric summaries for save_kb and write_ms metrics across up to 200 rows.","exampleAgentPrompt":"Can you run a string normalization and grouped numeric summary on these game save records? I have 4 rows with game areas group-a and group-b, dates from 2026-10-01 to 2026-10-04, and save_kb values of 10, 20, 15, 30 — analyze the save_kb field.","exampleUseCases":[{"title":"Game Area Save Size Comparison","prompt":"I have a list of 50 game save records with areas like 'overworld', 'dungeon', and 'hub' along with their save_kb sizes — can you normalize the area strings and give me a grouped numeric summary of save sizes by game area?"},{"title":"Write Performance Monitoring by Zone","prompt":"Here are 120 save file records from our game's telemetry with write_ms timings tagged by game_area — can you normalize the labels and give me a grouped summary of write times per zone so I can spot slow areas?"},{"title":"Save File Audit Across Sessions","prompt":"I've got 80 rows of save file data with dates, area names, and file sizes in save_kb — please normalize the string fields and produce a grouped numeric summary grouped by game_area so I can audit which zones are saving the most data."}],"resultDescription":"Returns two independent analytical reports: (1) a string normalization report cleaning and standardizing the string fields (row_id, game_area, date), and (2) a grouped numeric summary aggregating the selected numeric field (save_kb or write_ms) by game_area, including statistics such as count, mean, min, max, and sum per group. Covers up to 200 input rows with no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted returns a validation error","Missing required fields (row_id, game_area, date, save_kb, write_ms) causes row rejection","Invalid date format (non-YYYY-MM-DD) fails pattern validation","Numeric values outside ±1,000,000,000,000 range are rejected","Invalid 'field' enum value (not save_kb or write_ms) returns an error","Malformed JSON body causes a parse error response","Payment not attached or insufficient USDC results in 402 payment required"],"whenToPreferThis":"Choose this endpoint when you have game save file records with save_kb and write_ms metrics and need both string normalization and grouped numeric aggregation in a single low-cost call. It is ideal for game developers or analysts who want to audit save file performance segmented by game area without setting up local analytics infrastructure. At $0.01 USDC for two reports on up to 200 rows, it is best suited for lightweight batch analysis tasks rather than real-time queries or predictive modeling.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T18:48:31.967Z","isFirstParty":false,"canonicalSlug":"save-files-string-normalisation-grouped-numeric-summary-5cbf28d9"}