{"uid":"cap_yU2ySrtk64iPRGFPk6T4x","slug":"loot-observations-record-quality-audit-grouped-numeric-summary-f6d82ca6","name":"Loot Observations — Record Quality Audit + Grouped Numeric Summary","description":"Loot observations — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary for supplied loot observations records (drop_count, attempt_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-05-005?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","drop_count","attempt_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},"drop_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"attempt_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","game_area":"group-a","drop_count":10,"attempt_count":1},{"date":"2026-10-02","row_id":"row-2","game_area":"group-b","drop_count":20,"attempt_count":2},{"date":"2026-10-03","row_id":"row-3","game_area":"group-a","drop_count":15,"attempt_count":3},{"date":"2026-10-04","row_id":"row-4","game_area":"group-b","drop_count":30,"attempt_count":4}],"maxItems":200,"minItems":1},"field":{"enum":["drop_count","attempt_count"],"type":"string","default":"drop_count"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"unprobed","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_CO4hT0cvmnEIIdDGk56o0","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 data quality and produces grouped numeric summaries for up to 200 loot observation records (drop_count, attempt_count) in a single call.","exampleAgentPrompt":"Can you run a record quality audit and grouped numeric summary on my loot observation data? I have rows with game_area, date, drop_count, and attempt_count — I want to analyze drop_count and check for data issues across up to 200 rows.","exampleUseCases":[{"title":"Game loot drop rate QA","prompt":"I have a CSV of loot observation records from the past month with columns row_id, game_area, date, drop_count, and attempt_count. Can you audit the data quality and give me a grouped numeric summary of drop_count broken down by game_area?"},{"title":"Attempt count anomaly detection","prompt":"My game analytics team wants to know if there are any bad records in our attempt_count data for loot events. Can you run a quality audit on these 150 rows and also summarize attempt_count by area so we can see if anything looks off?"},{"title":"Multi-zone loot stats report","prompt":"I'm comparing loot performance across different game zones. Can you take these loot observation records — each has a row_id, game_area, date, drop_count, and attempt_count — and produce a grouped numeric summary of drop_count by zone plus flag any data quality issues?"}],"resultDescription":"Returns two reports: (1) a record quality audit identifying missing values, nulls, or structural issues in the submitted rows, and (2) a grouped numeric summary aggregating the selected numeric field (drop_count or attempt_count) by game_area, covering all submitted rows (up to 200).","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, game_area, date, drop_count, attempt_count) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Field value outside allowed numeric range — rejection","Empty rows array — error response"],"whenToPreferThis":"Use this endpoint when you have game loot observation data and need both a data quality audit AND a grouped numeric summary in a single low-cost call. It is purpose-built for gaming telemetry datasets with drop_count and attempt_count fields, and handles up to 200 rows per call with no external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:48:02.360Z","isFirstParty":false,"canonicalSlug":"loot-observations-record-quality-audit-grouped-numeric-summary-f6d82ca6"}