{"uid":"cap_KRKujpdrpYu7wP4KAI6bP","slug":"controller-sampling-numeric-row-ordering-adjacent-row-changes-8b228dae","name":"Controller Sampling — Numeric Row Ordering + Adjacent Row Changes","description":"Controller sampling — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes for supplied controller sampling records (input_latency_ms, sample_count). 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-15-116?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","input_latency_ms","sample_count"],"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},"sample_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"input_latency_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","sample_count":1,"input_latency_ms":10},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","sample_count":2,"input_latency_ms":20},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","sample_count":3,"input_latency_ms":15},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","sample_count":4,"input_latency_ms":30}],"maxItems":200,"minItems":1},"field":{"enum":["input_latency_ms","sample_count"],"type":"string","default":"input_latency_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_HRvt5whAiEOGg0m5vcfxa","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 controller sampling records (input_latency_ms, sample_count) by applying numeric row ordering and adjacent row change calculations across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have controller sampling data with input latency and sample counts across group-a and group-b game areas for October 2026 — can you sort those rows numerically by input_latency_ms and also compute the adjacent row-to-row changes between each record?","exampleUseCases":[{"title":"Latency regression detection across game areas","prompt":"Here are 50 controller sampling records across our game areas from last week — can you rank them by input_latency_ms and show me how the latency changed between each consecutive row so I can spot where regressions crept in?"},{"title":"Sample count progression analysis","prompt":"I've got controller sampling logs for 120 rows covering multiple game sessions. Can you order them by sample_count numerically and calculate the adjacent changes between rows so I can see how sample counts are progressing over time?"},{"title":"QA audit of controller performance data","prompt":"We need a QA pass on our controller sampling data — 80 rows with input_latency_ms values across group-a and group-b. Please sort the rows numerically by input_latency_ms and flag the adjacent differences so our QA team can review sudden jumps."}],"resultDescription":"Two analytical reports: (1) a numeric row ordering report that ranks the supplied controller sampling rows by the selected field (input_latency_ms or sample_count), and (2) an adjacent row changes report showing the delta between each consecutive row for the selected field. Results are computed locally from the supplied data with no external lookups.","failureModes":["Empty rows array or missing required fields (row_id, game_area, date, input_latency_ms, sample_count) causes validation failure","More than 200 rows submitted exceeds the maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) will fail schema validation","field enum value not matching 'input_latency_ms' or 'sample_count' causes rejection","Payment failure or insufficient USDC balance prevents call execution"],"whenToPreferThis":"Choose this endpoint when you have controller sampling tabular data (up to 200 rows) and need both a numeric ordering of rows and a row-by-row delta/change report on either input_latency_ms or sample_count in a single low-cost call. It is particularly suited for game performance QA workflows, latency regression analysis, or sequential sample count audits where no external data, predictions, or live lookups are needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:30.450Z","isFirstParty":false,"canonicalSlug":"controller-sampling-numeric-row-ordering-adjacent-row-changes-8b228dae"}