{"uid":"cap_B73xD_3gXxl8pKQstiXZl","slug":"frame-timing-duplicate-key-report-secondary-measure-weighted-mean-0adc4f93","name":"Frame Timing — Duplicate Key Report + Secondary-Measure Weighted Mean","description":"Frame timing — Duplicate key report + Secondary-measure weighted mean: Duplicate key report + Secondary-measure weighted mean for supplied frame timing records (frame_ms, draw_calls). 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-01-067?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","frame_ms","draw_calls"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"frame_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80},"draw_calls":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","frame_ms":10,"game_area":"group-a","draw_calls":1},{"date":"2026-10-02","row_id":"row-2","frame_ms":20,"game_area":"group-b","draw_calls":2},{"date":"2026-10-03","row_id":"row-3","frame_ms":15,"game_area":"group-a","draw_calls":3},{"date":"2026-10-04","row_id":"row-4","frame_ms":30,"game_area":"group-b","draw_calls":4}],"maxItems":200,"minItems":1},"field":{"enum":["frame_ms","draw_calls"],"type":"string","default":"frame_ms"}}},"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_MNhYKu-U8kxIZF6381sPR","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 supplied frame timing records to produce a duplicate key report and a draw-calls-weighted mean of frame_ms (or vice versa) for up to 200 rows.","exampleAgentPrompt":"Can you run a duplicate key report and compute the draw_calls-weighted mean for this set of frame timing records: row-1 (group-a, 2026-10-01, frame_ms=10, draw_calls=1), row-2 (group-b, 2026-10-02, frame_ms=20, draw_calls=2), row-3 (group-a, 2026-10-03, frame_ms=15, draw_calls=3), row-4 (group-b, 2026-10-04, frame_ms=30, draw_calls=4), analyzing the frame_ms field?","exampleUseCases":[{"title":"Frame rate regression audit for game build","prompt":"I have 150 frame timing records from our latest game build — each has a row ID, game area, date, frame_ms, and draw_calls. Can you check for any duplicate row keys and compute the draw_calls-weighted mean of frame_ms so I can spot regressions?"},{"title":"Draw call efficiency analysis by game area","prompt":"Here are my frame timing samples across multiple game areas. Run a duplicate key report on them and give me the frame_ms-weighted mean of draw_calls so I can see which areas are inefficient."},{"title":"QA data integrity check before performance report","prompt":"Before I submit our weekly performance report, can you scan these 80 frame timing rows for duplicate keys and also compute the weighted mean of frame_ms using draw_calls as the weight?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any rows sharing the same key fields (row_id, game_area, date), and (2) a secondary-measure weighted mean of the selected field (frame_ms or draw_calls) weighted by the other measure — all computed locally on the supplied data, no external lookups.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","Missing required fields (row_id, game_area, date, frame_ms, draw_calls) cause item-level errors","Invalid field enum value (not frame_ms or draw_calls) causes rejection","All null numeric values may produce undefined weighted mean result"],"whenToPreferThis":"Choose this endpoint when you need both a duplicate key audit and a weighted mean statistic on frame timing data (frame_ms and draw_calls) in a single API call for up to 200 rows. It is ideal for game performance pipelines where data quality checks and aggregate statistics are needed together cheaply ($0.01 USDC for both reports). Prefer alternatives if you need more than 200 rows, live telemetry ingestion, or reports beyond deduplication and weighted mean.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:33.881Z","isFirstParty":false,"canonicalSlug":"frame-timing-duplicate-key-report-secondary-measure-weighted-mean-0adc4f93"}