{"uid":"cap_4xG6kRIzJjQ1cOOyigvLz","slug":"level-checkpoints-data-quality-ordering-analyzer-d2f58f29","name":"Level Checkpoints Data Quality & Ordering Analyzer","description":"Level checkpoints — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied level checkpoints records (completions, retries). 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-03-196?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","completions","retries"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"retries":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80},"completions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","retries":1,"game_area":"group-a","completions":10},{"date":"2026-10-02","row_id":"row-2","retries":2,"game_area":"group-b","completions":20},{"date":"2026-10-03","row_id":"row-3","retries":3,"game_area":"group-a","completions":15},{"date":"2026-10-04","row_id":"row-4","retries":4,"game_area":"group-b","completions":30}],"maxItems":200,"minItems":1},"field":{"enum":["completions","retries"],"type":"string","default":"completions"}}},"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_VbBcUH60u6Y21tJBFmgB0","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, normalizes strings, and orders rows numerically for game level checkpoint data (completions and retries) across up to 200 rows, returning 3 independent analytical reports.","exampleAgentPrompt":"Can you run a quality audit, string normalization, and numeric row ordering on my level checkpoint data — I have rows with game_area, date, completions, and retries fields (up to 50 rows) and want the analysis sorted by completions?","exampleUseCases":[{"title":"QA audit for game checkpoint logs","prompt":"I have a CSV export of level checkpoint records with game_area, date, completions, and retries — can you audit the data quality, normalize the game area strings, and sort the rows by completions so I can identify any bad records before importing?"},{"title":"Retry rate ordering across levels","prompt":"Take these 80 level checkpoint rows I have and give me the numeric row ordering by retries, plus a string normalization pass on the game_area field and a record quality audit — I want to see which levels have the most retries ranked from highest to lowest."},{"title":"Pre-analysis data cleanup for checkpoint dataset","prompt":"Before I run my own analysis, can you clean up this level checkpoint dataset — run a record quality audit, normalize all the string fields, and order everything numerically by completions? I have about 120 rows covering multiple game areas and dates."}],"resultDescription":"Returns 3 independent reports: (1) a record quality audit flagging missing, null, or out-of-range values across the checkpoint rows; (2) a string normalization report standardizing game_area and other text fields; and (3) a numeric row ordering report ranking rows by the selected field (completions or retries). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, game_area, date, completions, retries) cause row-level validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected","Empty rows array (minItems: 1 not satisfied) causes request failure","Invalid field enum value (not 'completions' or 'retries') causes field selector error"],"whenToPreferThis":"Choose this endpoint when you have game-level checkpoint data (completions and retries) and need three bundled analytical operations — quality audit, string normalization, and numeric ordering — in a single cheap call ($0.01 USDC). Ideal for pre-processing pipeline steps before deeper analysis, or for validating exported checkpoint logs. Not suitable if you need live data fetching, predictive modeling, or analysis of non-game datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:37:41.941Z","isFirstParty":false,"canonicalSlug":"level-checkpoints-data-quality-ordering-analyzer-d2f58f29"}