{"uid":"cap_Afw-D5XoaumPv_mMXJI7e","slug":"texture-streaming-data-analyzer-quality-audit-string-normalization-4e771fc7","name":"Texture Streaming Data Analyzer — Quality Audit, String Normalization & Grouped Summary","description":"Texture streaming — Record quality audit + String normalisation + Grouped numeric summary: Record quality audit + String normalisation + Grouped numeric summary for supplied texture streaming records (loaded_mb, stream_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-09-194?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","loaded_mb","stream_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"game_area":{"type":"string","default":"","maxLength":80},"loaded_mb":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"stream_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","loaded_mb":10,"stream_ms":1},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","loaded_mb":20,"stream_ms":2},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","loaded_mb":15,"stream_ms":3},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","loaded_mb":30,"stream_ms":4}],"maxItems":200,"minItems":1},"field":{"enum":["loaded_mb","stream_ms"],"type":"string","default":"loaded_mb"}}},"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_CcI6ghgKGxFJqtt-ebfHR","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 texture streaming records: a record quality audit, string normalization of game_area labels, and a grouped numeric summary of loaded_mb or stream_ms metrics — for up to 200 rows.","exampleAgentPrompt":"Can you run a quality audit, normalize the game_area strings, and give me a grouped numeric summary of loaded_mb for these texture streaming records? I have 4 rows: row-1 on 2026-10-01 in group-a with loaded_mb=10 and stream_ms=1, row-2 on 2026-10-02 in group-b with loaded_mb=20 and stream_ms=2, row-3 on 2026-10-03 in group-a with loaded_mb=15 and stream_ms=3, and row-4 on 2026-10-04 in group-b with loaded_mb=30 and stream_ms=4.","exampleUseCases":[{"title":"Game area streaming data quality check","prompt":"I've got 50 texture streaming log rows with game_area, loaded_mb, and stream_ms fields — can you audit them for data quality issues like missing or out-of-range values and also normalize the area name strings?"},{"title":"Grouped loaded_mb stats by game zone","prompt":"Take these 80 texture streaming records and give me a grouped numeric summary of loaded_mb broken down by game_area so I can see which zones are consuming the most texture data."},{"title":"Validate and clean streaming records before pipeline","prompt":"Before I push this batch of 150 texture streaming rows into our pipeline, can you run a record quality audit and string normalization on the game_area labels so I catch any problems first?"}],"resultDescription":"Returns three reports: (1) a record quality audit flagging missing, null, or malformed values per row; (2) normalized/standardized game_area string labels; and (3) a grouped numeric summary (count, sum, mean, min, max, etc.) of the selected field (loaded_mb or stream_ms) aggregated by game_area — all computed locally with no external calls.","failureModes":["More than 200 rows submitted — request rejected with row count limit error","Missing required fields (row_id, date, game_area) in one or more rows — validation error returned","Invalid date format not matching YYYY-MM-DD pattern — schema validation failure","Field selector not one of 'loaded_mb' or 'stream_ms' — enum validation error","Empty rows array (minItems: 1 violated) — request rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 texture streaming records (with loaded_mb and stream_ms measurements) and need all three of: a record quality audit, string normalization of category labels, and a grouped numeric summary — bundled in one $0.01 call. Prefer this over single-report endpoints when you need all three analyses simultaneously without making separate API calls. Not suitable for live data lookup, prediction, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:39:03.013Z","isFirstParty":false,"canonicalSlug":"texture-streaming-data-analyzer-quality-audit-string-normalization-4e771fc7"}