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Matchmaking Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Matchmaking Observations — Record Quality Audit + String Normalisation + Numeric Row Ordering 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).
Audits record quality, normalises strings, and orders rows numerically for matchmaking observation data (queue_seconds, party_size) — up to 200 rows, 3 reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Matchmaking observations — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied matchmaking observations records (queue_seconds, party_size). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent analytical reports per call: (1) a record quality audit flagging missing, null, or out-of-range values across the submitted rows; (2) a string normalisation report showing standardised versions of text fields like game_area; and (3) a numeric row ordering report ranking rows by the selected field (queue_seconds or party_size). All analysis is performed locally on the submitted data with no external lookups.
Example use cases
Matchmaking queue data cleanup
“I have a batch of matchmaking logs with game_area names that might have inconsistent casing and some suspicious queue_seconds values — can you audit the record quality, normalise the strings, and order the rows by queue_seconds for me? I'll send you up to 50 rows.”
Party size ranking for balance analysis
“Here are 120 matchmaking observation records with row_id, game_area, date, queue_seconds, and party_size — please run quality audit, string normalisation, and order them by party_size so I can see the distribution.”
Daily matchmaking data validation
“Before I ingest today's matchmaking data into our pipeline, can you check these 200 rows for quality issues, normalise the game_area strings, and give me the rows ordered by queue_seconds? The field I want sorted is queue_seconds.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-12-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled data-quality operations on matchmaking observation records in a single low-cost call — specifically record quality auditing, string normalisation, and numeric ordering — without requiring any live data lookup, ML prediction, or external API calls. It is well-suited for preprocessing matchmaking pipeline data before ingestion or for quick offline validation of gaming observation datasets up to 200 rows.
Side effects
- Exceeding 200 rows returns an error or truncation
- Missing required fields (row_id, game_area, date, queue_seconds, party_size) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Invalid field enum value (not queue_seconds or party_size) causes request failure
- Payment of 0.01 USDC not included results in 402 response
- Empty rows array rejected by minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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