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Loot Observations — Adjacent Row Changes + Two-Measure Correlation
x402
Loot Observations — Adjacent Row Changes + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).
Computes adjacent row delta changes and two-measure Pearson/rank correlation for loot observation records (drop_count, attempt_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
Loot drop efficiency audit
“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?”
Game area drop rate trend review
“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.”
Post-patch loot balance check
“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.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-05-158?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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