{"uid":"cap_QfFaNMMEzFspIyaBJLq-P","slug":"loot-observations-adjacent-row-changes-two-measure-correlation-4106964a","name":"Loot Observations — Adjacent Row Changes + Two-Measure Correlation","description":"Loot observations — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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-05-158?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":"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_Y1PEUkOlGrVeu7FuNBNoa","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":"Computes adjacent row delta changes and two-measure Pearson/rank correlation for loot observation records (drop_count, attempt_count) across up to 200 rows.","exampleAgentPrompt":"Analyze my loot observation records for adjacent row changes and the correlation between drop_count and attempt_count — here are my rows: row-1 on 2026-10-01 in zone-alpha with drop_count 10 and attempt_count 1, row-2 on 2026-10-02 in zone-beta with drop_count 20 and attempt_count 2, and row-3 on 2026-10-03 in zone-alpha with drop_count 15 and attempt_count 3; use drop_count as the primary field.","exampleUseCases":[{"title":"Loot drop efficiency audit","prompt":"I have 50 rows of loot data from my game — each row has a date, game area, drop_count, and attempt_count. Can you run the adjacent row changes report and the two-measure correlation on drop_count for me so I can see how efficiently drops are occurring across sessions?"},{"title":"Game area drop rate trend review","prompt":"Here are 100 loot observation records across game areas dungeon-1 and dungeon-2 from October 2026 — analyze the row-by-row delta changes in attempt_count and show me the correlation between drop_count and attempt_count."},{"title":"Post-patch loot balance check","prompt":"After our latest game patch I collected 80 rows of loot observations with drop_count and attempt_count per session. Run the adjacent row changes and two-measure correlation analysis on drop_count so I can tell if the patch affected drop balance."}],"resultDescription":"Returns two analytical reports: (1) adjacent row change deltas for the selected field (drop_count or attempt_count) across up to 200 sequential loot observation rows, and (2) a two-measure correlation analysis between drop_count and attempt_count, both computed locally without external lookups.","failureModes":["Fewer than 1 row supplied returns a validation error","More than 200 rows submitted exceeds the maxItems limit","Invalid date format (not YYYY-MM-DD) causes schema rejection","Missing required fields (row_id, game_area, date, drop_count, attempt_count) causes request failure","Non-numeric values in drop_count or attempt_count outside allowed range rejected","Invalid field enum value (not drop_count or attempt_count) returns error"],"whenToPreferThis":"Use this endpoint when you have sequential loot observation records with drop_count and attempt_count fields and need both row-over-row delta analysis and a two-measure correlation in a single low-cost call ($0.01 USDC for both reports). Ideal for game developers or analysts checking loot balance, farming efficiency, or session-to-session trends without needing external data lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:33:17.959Z","isFirstParty":false,"canonicalSlug":"loot-observations-adjacent-row-changes-two-measure-correlation-4106964a"}