{"uid":"cap_M0kQXl4B1g4GunpWQz438","slug":"frame-timing-numeric-row-ordering-base-100-series-analyzer-a2c487d4","name":"Frame Timing Numeric Row Ordering + Base-100 Series Analyzer","description":"Frame timing — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series 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-01-117?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"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_ODmtp9u6_vIVsHOESLcrh","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":"Computes numeric row ordering and a Base-100 indexed series for up to 200 frame timing records (frame_ms and draw_calls), returning two analytical reports per call.","exampleAgentPrompt":"Can you run numeric row ordering and a Base-100 series on my frame timing data? I have 200 rows with frame_ms and draw_calls fields — use frame_ms as the primary field and set base_index to 0.","exampleUseCases":[{"title":"Game area frame rate benchmarking","prompt":"I have frame timing logs for two game areas — group-a and group-b — with frame_ms values recorded daily over the past month. Can you rank all 150 rows numerically and produce a Base-100 indexed series starting at row 0 for frame_ms so I can compare how each area performs over time?"},{"title":"Draw call count trend indexing","prompt":"I want to see how my draw_calls numbers trend across 80 game sessions. Can you apply numeric row ordering and a Base-100 series to my draw_calls field, with base_index at 0, so I can see where call counts are rising or falling relative to the starting point?"},{"title":"Multi-session frame time normalization","prompt":"I've got 200 frame timing records from our latest build across several game zones. Please generate numeric row rankings and a Base-100 series for the frame_ms field starting from index 0 — I need both reports to evaluate rendering consistency across sessions."}],"resultDescription":"Returns two analytical reports per call: (1) a numeric row ordering of the submitted frame timing records ranked by the chosen field (frame_ms or draw_calls), and (2) a Base-100 indexed series anchored at the specified base_index row, enabling relative performance comparison across up to 200 rows. No external lookups or predictions are included — all computation is performed on the supplied data.","failureModes":["Empty or missing rows array returns an error","More than 200 rows submitted exceeds the maxItems limit and is rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","field value not in enum ['frame_ms','draw_calls'] is rejected","base_index out of range 0-199 is rejected","null values in frame_ms or draw_calls are accepted but may affect ordering output","row_id missing or empty string causes required field validation failure"],"whenToPreferThis":"Choose this endpoint when you need both numeric row ranking and a Base-100 normalized index computed together on game frame timing data (frame_ms, draw_calls) in a single low-cost call. It is purpose-built for game performance datasets up to 200 rows and returns two reports simultaneously, making it efficient for iterative build comparisons or session-level benchmarking without requiring external data or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T06:41:42.496Z","isFirstParty":false,"canonicalSlug":"frame-timing-numeric-row-ordering-base-100-series-analyzer-a2c487d4"}