{"uid":"cap_mcppVTkpbLpyBYDXw94Zx","slug":"loot-observations-numeric-distribution-adjacent-row-changes-785ccad1","name":"Loot Observations — Numeric Distribution + Adjacent Row Changes","description":"Loot observations — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-05-077?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_1-UvE1fQguHIZZqh8pa9U","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":"Analyzes loot observation records (drop_count, attempt_count) to produce two reports: numeric distribution statistics and adjacent row change deltas, for up to 200 rows.","exampleAgentPrompt":"I have 4 loot observation records for two game areas — drop_count and attempt_count per date — can you run the numeric distribution and adjacent row changes reports on the drop_count field? Here are the rows: row-1 2026-10-01 group-a drop_count=10 attempt_count=1, row-2 2026-10-02 group-b drop_count=20 attempt_count=2, row-3 2026-10-03 group-a drop_count=15 attempt_count=3, row-4 2026-10-04 group-b drop_count=30 attempt_count=4.","exampleUseCases":[{"title":"Drop rate spread analysis for game areas","prompt":"Here are 50 loot observation rows across several game areas with drop_count and attempt_count logged daily — can you give me the numeric distribution report on drop_count so I can see the spread, min, max, and percentiles?"},{"title":"Session-over-session loot change tracking","prompt":"I've got a week of loot data with daily drop_count values per game area — can you run the adjacent row changes report on attempt_count so I can see how attempts shifted day by day?"},{"title":"Game balance audit using dual loot report","prompt":"I want to audit loot balance across two game zones using 120 observation rows. Please run both the numeric distribution and adjacent row changes reports on the drop_count field and tell me if anything looks anomalous."}],"resultDescription":"Returns two analytical reports based on the supplied loot observation rows: (1) a numeric distribution summary for the selected field (drop_count or attempt_count), covering statistics like min, max, mean, percentiles, and histogram-like binning; (2) an adjacent row changes report showing value differences between consecutive rows for the selected field. No external data is fetched; analysis is performed locally on the supplied data.","failureModes":["Fewer than 1 row supplied — minItems constraint violated","More than 200 rows supplied — maxItems constraint violated","Missing required fields (row_id, game_area, date, drop_count, attempt_count) on any row","Invalid date format (must match YYYY-MM-DD pattern)","field enum value not one of 'drop_count' or 'attempt_count'","Numeric values outside allowed range (±1,000,000,000,000)","Payment not provided or insufficient (requires 0.01 USDC via x402)"],"whenToPreferThis":"Choose this endpoint when you have structured loot observation records with drop_count and attempt_count fields and need both a numeric distribution summary and adjacent row change deltas in a single call for up to 200 rows. It is well-suited for game analytics pipelines where you want quick offline statistical analysis without external lookups or predictions. Prefer alternatives if you need real-time game data fetching, predictive modeling, or analysis on more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:54.624Z","isFirstParty":false,"canonicalSlug":"loot-observations-numeric-distribution-adjacent-row-changes-785ccad1"}