{"uid":"cap_uGjp88V3FfPZgroEQGGpy","slug":"matchmaking-observations-record-quality-audit-string-normalisation-bb4f2900","name":"Matchmaking Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering","description":"Matchmaking observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied matchmaking observations records (queue_seconds, party_size). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-game-12-196?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_hXoc2iynr40lrOGlQcVsd","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 record quality, normalises strings, and orders rows numerically for matchmaking observation data (queue_seconds, party_size) — up to 200 rows, 3 reports per call.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and numeric ordering on these matchmaking records — I have 4 rows with fields row_id, game_area, date, queue_seconds, and party_size — and sort them by queue_seconds?","exampleUseCases":[{"title":"Matchmaking queue data cleanup","prompt":"I have a batch of matchmaking logs with game_area names that might have inconsistent casing and some suspicious queue_seconds values — can you audit the record quality, normalise the strings, and order the rows by queue_seconds for me? I'll send you up to 50 rows."},{"title":"Party size ranking for balance analysis","prompt":"Here are 120 matchmaking observation records with row_id, game_area, date, queue_seconds, and party_size — please run quality audit, string normalisation, and order them by party_size so I can see the distribution."},{"title":"Daily matchmaking data validation","prompt":"Before I ingest today's matchmaking data into our pipeline, can you check these 200 rows for quality issues, normalise the game_area strings, and give me the rows ordered by queue_seconds? The field I want sorted is queue_seconds."}],"resultDescription":"Three independent analytical reports per call: (1) a record quality audit flagging missing, null, or out-of-range values across the submitted rows; (2) a string normalisation report showing standardised versions of text fields like game_area; and (3) a numeric row ordering report ranking rows by the selected field (queue_seconds or party_size). All analysis is performed locally on the submitted data with no external lookups.","failureModes":["Exceeding 200 rows returns an error or truncation","Missing required fields (row_id, game_area, date, queue_seconds, party_size) causes validation failure","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Invalid field enum value (not queue_seconds or party_size) causes request failure","Payment of 0.01 USDC not included results in 402 response","Empty rows array rejected by minItems:1 constraint"],"whenToPreferThis":"Choose this endpoint when you need three bundled data-quality operations on matchmaking observation records in a single low-cost call — specifically record quality auditing, string normalisation, and numeric ordering — without requiring any live data lookup, ML prediction, or external API calls. It is well-suited for preprocessing matchmaking pipeline data before ingestion or for quick offline validation of gaming observation datasets up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:07.640Z","isFirstParty":false,"canonicalSlug":"matchmaking-observations-record-quality-audit-string-normalisation-bb4f2900"}