{"uid":"cap_KfjhjNeO-mVcXUSRi1auv","slug":"frame-timing-record-quality-audit-and-numeric-row-ordering-51341006","name":"Frame Timing Record Quality Audit and Numeric Row Ordering","description":"Frame timing — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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-01-007?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_gteWbkdvPTSRQxnYUMPOT","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 frame timing records (frame_ms, draw_calls) for data quality issues and orders rows numerically, producing two independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you run a quality audit and numeric row ordering on these 4 frame timing records — row-1 on 2026-10-01 with frame_ms=10 and draw_calls=1 in group-a, row-2 on 2026-10-02 with frame_ms=20 and draw_calls=2 in group-b, row-3 on 2026-10-03 with frame_ms=15 and draw_calls=3 in group-a, and row-4 on 2026-10-04 with frame_ms=30 and draw_calls=4 in group-b — and use frame_ms as the field?","exampleUseCases":[{"title":"Game area frame rate health check","prompt":"I've got frame timing logs from two game areas — group-a and group-b — with dates and frame_ms values for about 50 rows. Can you audit them for data quality issues and give me a numeric ordering of those rows by frame_ms?"},{"title":"Draw call data validation for renderer","prompt":"Please check these 120 draw_calls records from our game renderer for quality problems and rank the rows numerically — I want to know which rows have bad data and how they sort by draw_calls value."},{"title":"Spot-check nightly performance batch","prompt":"We captured 200 rows of frame timing data last night across several game areas. Run a record quality audit and numeric row ordering on them using the frame_ms field so I can see any anomalies before we process the batch."}],"resultDescription":"Two independent analytical reports: (1) a record quality audit flagging data issues such as missing, null, or out-of-range values in frame_ms and draw_calls fields; and (2) a numeric row ordering ranking all submitted rows by the selected field (frame_ms or draw_calls). Results are derived entirely from the supplied data with no external lookups.","failureModes":["Input array is empty or exceeds 200 rows — validation error returned","Required fields (row_id, game_area, date, frame_ms, draw_calls) missing from one or more rows — row-level error or rejection","Invalid date format (not YYYY-MM-DD) — schema validation failure","field enum value not one of frame_ms or draw_calls — rejected with schema error","Payment not provided or insufficient — 402 Payment Required","All frame_ms or draw_calls values are null — ordering report may be empty or flagged"],"whenToPreferThis":"Choose this endpoint when you need both a data quality audit and a numeric ordering report on game frame timing records (frame_ms or draw_calls) in a single low-cost call. It is best suited for offline/batch validation of up to 200 rows of game performance data where no live lookup, prediction, or external action is needed. Prefer alternatives if you need real-time frame analysis, predictive modeling, or data from other domains such as matchmaking or texture baking.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:13.566Z","isFirstParty":false,"canonicalSlug":"frame-timing-record-quality-audit-and-numeric-row-ordering-51341006"}