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Matchmaking Observations — String Normalisation + Secondary-Measure Weighted Mean
x402
Matchmaking Observations — String Normalisation + 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 2026-10-30).
Normalises string fields and computes a party-size-weighted mean for matchmaking queue data (queue_seconds, party_size) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Matchmaking observations — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean for supplied matchmaking observations records (queue_seconds, party_size). 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 reports: (1) string-normalised versions of the game_area field across all submitted rows, and (2) a secondary-measure weighted mean of the selected field (queue_seconds or party_size), weighted by the complementary measure — all computed locally without external lookups.
Example use cases
Game server queue time analysis
“I have 150 matchmaking log rows from last week with game_area labels like 'Group A', 'group-a', and 'GroupA' — can you normalize those strings and give me the party-size-weighted mean of queue_seconds across all of them?”
Party size impact on wait times
“Here are 80 matchmaking observations across multiple game areas dated between 2026-09-01 and 2026-09-30 — run string normalization on the game_area field and calculate the weighted mean of party_size using queue_seconds as the secondary measure.”
Daily matchmaking performance report
“I want two analytical reports on these 200 matchmaking records from October 2026: one that normalizes the game_area strings and one that gives me the party-size-weighted average queue time — can you run both?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-12-034?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have matchmaking observation data with game area string labels that need normalization alongside a weighted mean calculation on queue_seconds or party_size, and you need both reports in a single cheap call ($0.01 USDC). Ideal for gaming analytics pipelines processing up to 200 rows of queue data without requiring live lookup or external prediction services.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, game_area, date, queue_seconds, party_size) causes schema rejection
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Null values in both numeric fields may produce undefined weighted mean
- Payment failure or insufficient USDC balance blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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