{"uid":"cap_spHqpTjorOAnpGvdPn8Wf","slug":"matchmaking-observations-string-normalisation-secondary-measure-4feb5c61","name":"Matchmaking Observations — String Normalisation + Secondary-Measure Weighted Mean","description":"Matchmaking observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied matchmaking observations records (queue_seconds, party_size). 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-12-034?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","queue_seconds","party_size"],"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},"party_size":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"queue_seconds":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","party_size":1,"queue_seconds":10},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","party_size":2,"queue_seconds":20},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","party_size":3,"queue_seconds":15},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","party_size":4,"queue_seconds":30}],"maxItems":200,"minItems":1},"field":{"enum":["queue_seconds","party_size"],"type":"string","default":"queue_seconds"}}},"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_GKRrEsaC59_U_H9beqiIc","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 string fields and computes a party-size-weighted mean for matchmaking queue data (queue_seconds, party_size) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have 4 matchmaking observation records with queue_seconds and party_size — can you normalize the game_area strings and compute the party-size-weighted mean of queue_seconds for rows like row-1 in group-a on 2026-10-01 with queue_seconds 10 and party_size 1?","exampleUseCases":[{"title":"Game server queue time analysis","prompt":"I have 150 matchmaking log rows from last week with game_area labels like 'Group A', 'group-a', and 'GroupA' — can you normalize those strings and give me the party-size-weighted mean of queue_seconds across all of them?"},{"title":"Party size impact on wait times","prompt":"Here are 80 matchmaking observations across multiple game areas dated between 2026-09-01 and 2026-09-30 — run string normalization on the game_area field and calculate the weighted mean of party_size using queue_seconds as the secondary measure."},{"title":"Daily matchmaking performance report","prompt":"I want two analytical reports on these 200 matchmaking records from October 2026: one that normalizes the game_area strings and one that gives me the party-size-weighted average queue time — can you run both?"}],"resultDescription":"Returns two reports: (1) string-normalised versions of the game_area field across all submitted rows, and (2) a secondary-measure weighted mean of the selected field (queue_seconds or party_size), weighted by the complementary measure — all computed locally without external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, game_area, date, queue_seconds, party_size) causes schema rejection","Invalid date format (not YYYY-MM-DD) fails pattern validation","Null values in both numeric fields may produce undefined weighted mean","Payment failure or insufficient USDC balance blocks the request"],"whenToPreferThis":"Choose this endpoint when you have matchmaking observation data with game area string labels that need normalization alongside a weighted mean calculation on queue_seconds or party_size, and you need both reports in a single cheap call ($0.01 USDC). Ideal for gaming analytics pipelines processing up to 200 rows of queue data without requiring live lookup or external prediction services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:09:21.546Z","isFirstParty":false,"canonicalSlug":"matchmaking-observations-string-normalisation-secondary-measure-4feb5c61"}