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Achievement Progress — Adjacent Row Changes + Secondary-Measure Weighted Mean
x402
Achievement Progress — Adjacent Row Changes + Secondary-Measure Weighted Mean 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-over-row changes and a secondary-measure weighted mean for achievement progress records (eligible_players, unlocks) on up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Achievement progress — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean for supplied achievement progress records (eligible_players, unlocks). 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
Two analytical reports on the supplied achievement progress rows: (1) adjacent row changes showing sequential differences between consecutive records for the chosen field, and (2) a secondary-measure weighted mean using eligible_players and unlocks. Results are computed locally against supplied data only — no external lookups.
Example use cases
Track daily unlock trend changes
“I have daily achievement data for two game areas over a week — can you compute the day-over-day changes in unlocks and give me a weighted mean of eligible_players across all rows? Here are my records: row-1 2026-10-01 group-a eligible_players=100 unlocks=5, row-2 2026-10-02 group-a eligible_players=120 unlocks=8, row-3 2026-10-03 group-b eligible_players=200 unlocks=12. Use eligible_players as the field.”
Compare unlock rates across game areas
“Can you analyze these achievement progress records and show me adjacent row changes plus a secondary-measure weighted mean for unlocks? I have: row-1 2026-11-01 group-alpha eligible_players=500 unlocks=25, row-2 2026-11-02 group-beta eligible_players=300 unlocks=10, row-3 2026-11-03 group-alpha eligible_players=450 unlocks=20. Set the field to unlocks.”
Spot anomalies in player achievement data
“Run adjacent row change analysis and a weighted mean report on my achievement progress dataset — I want to spot any unusual jumps. Records: row-1 2026-09-01 zone-1 eligible_players=1000 unlocks=50, row-2 2026-09-02 zone-1 eligible_players=980 unlocks=200, row-3 2026-09-03 zone-2 eligible_players=1100 unlocks=55, row-4 2026-09-04 zone-2 eligible_players=1050 unlocks=60. Use eligible_players as the field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-19-159?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular achievement progress data (eligible_players, unlocks) and need both sequential/adjacent row difference analysis AND a weighted mean statistic in a single cheap call. It is best for offline/batch analytical work on supplied datasets up to 200 rows, where no live game data lookup or external enrichment is needed. Prefer it over general-purpose analytics tools when cost is a concern ($0.01 USDC for two reports).
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, game_area, date, eligible_players, or unlocks) on any row
- Invalid date format — must match YYYY-MM-DD pattern
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid field enum value — must be 'eligible_players' or 'unlocks'
- Empty rows array — minItems is 1
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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