{"uid":"cap_-KkySHU2LINsWuLp8m_g1","slug":"controller-sampling-string-normalisation-secondary-measure-weighted-10dbc305","name":"Controller Sampling — String Normalisation + Secondary-Measure Weighted Mean","description":"Controller sampling — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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-15-034?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_TPmJjHsVjVxPLPxLd_rZv","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":"Normalises game-area strings and computes a sample-count-weighted mean of input_latency_ms (or vice versa) across up to 200 controller sampling records, returning two analytical reports.","exampleAgentPrompt":"I have 4 controller sampling records — row-1 on 2026-10-01 in group-a with input_latency_ms 10 and sample_count 1, row-2 on 2026-10-02 in group-b with input_latency_ms 20 and sample_count 2, row-3 on 2026-10-03 in group-a with input_latency_ms 15 and sample_count 3, row-4 on 2026-10-04 in group-b with input_latency_ms 30 and sample_count 4 — can you normalise the game_area strings and give me the sample-count-weighted mean of input_latency_ms?","exampleUseCases":[{"title":"Game latency audit by area","prompt":"I've got 50 controller sampling rows across group-a and group-b game areas with dates in October 2026, input latency values, and sample counts — can you normalise the game area names and compute the sample-count-weighted mean of input_latency_ms so I can compare latency performance across areas?"},{"title":"Sample count distribution analysis","prompt":"Here are 120 controller sampling records with row IDs, dates, game areas, sample counts, and input latency values — please normalise the game_area strings and compute the weighted mean for the sample_count field, using input_latency_ms as the secondary weight measure."},{"title":"QA report for controller telemetry pipeline","prompt":"We're running QA on our controller telemetry pipeline and need two analytical reports: string normalisation on game_area labels and a secondary-measure weighted mean of input_latency_ms weighted by sample_count, for these 200 rows of controller sampling data."}],"resultDescription":"Returns two analytical reports: (1) a string-normalised version of the game_area field across all submitted rows, and (2) a secondary-measure weighted mean of the selected field (input_latency_ms or sample_count) using the other measure as the weight, computed over up to 200 input rows.","failureModes":["Exceeding 200 rows causes rejection — trim input to maxItems limit","Missing required fields (row_id, date, game_area, input_latency_ms, sample_count) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside ±1,000,000,000,000 are rejected","Empty rows array returns an error — at least 1 row required","Invalid enum value for field parameter (must be input_latency_ms or sample_count) causes failure","Payment not included or insufficient USDC causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have controller sampling records with game area labels that need string normalisation AND you need a weighted mean computation where one numeric measure (e.g. sample_count) weights the average of another (e.g. input_latency_ms). It is a fixed-price offline computation — no live lookup, prediction, or external action — making it ideal for batch analytical post-processing of gaming telemetry data up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:18.707Z","isFirstParty":false,"canonicalSlug":"controller-sampling-string-normalisation-secondary-measure-weighted-10dbc305"}