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Loot Observations — Numeric Distribution + Adjacent Row Changes
x402
Loot Observations — Numeric Distribution + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
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.
Price / call$0.01
Success—
StatusUnknown
How this service works
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.
Output
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.
Example use cases
Drop rate spread analysis for game areas
“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?”
Session-over-session loot change tracking
“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?”
Game balance audit using dual loot report
“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.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-05-077?utm_source=zero.xyzWhen to prefer
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.
Side effects
- 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)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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