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Controller Sampling — Exact Row Deduplication + Secondary-Measure Weighted Mean
x402
Controller Sampling — Exact Row Deduplication + 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).
Deduplicates controller sampling rows and computes a sample-count-weighted mean of input latency (or another numeric measure) across up to 200 records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Controller sampling — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean for supplied controller sampling records (input_latency_ms, sample_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) an exact row deduplication report identifying and removing duplicate controller sampling records, and (2) a secondary-measure weighted mean computation of the selected field (input_latency_ms or sample_count) weighted by the other measure — both derived from the supplied rows using local analytical engines, with no external lookups.
Example use cases
Latency QA for game controller pipeline
“I've got 150 controller sampling records from our game's input pipeline — some rows are exact duplicates. Can you deduplicate them and give me the sample-count weighted mean of input_latency_ms so I know the true average latency across all game areas?”
Comparing input latency across game zones
“Here are our controller sampling records across group-a and group-b game areas with input_latency_ms and sample_count fields. Remove any exact duplicate rows and compute the weighted mean of input_latency_ms using sample_count as the weight.”
Cleaning raw controller data before reporting
“Before I build my weekly controller performance report, I need to deduplicate this batch of up to 200 raw controller sampling rows and get a weighted average of sample_count using input_latency_ms as the secondary measure — can you run both analyses?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-15-051?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have raw controller sampling data (with input_latency_ms and sample_count fields) that may contain exact duplicate rows and you need both a cleaned dataset and a weighted mean statistic in a single $0.01 call. It is best suited for game performance analytics pipelines where input latency records are collected across multiple game areas and dates. Prefer this over general-purpose deduplication tools when you specifically need the secondary-measure weighted mean computed alongside deduplication without any external data enrichment or live lookups.
Side effects
- More than 200 rows submitted — exceeds maxItems limit, request rejected
- Missing required fields (row_id, game_area, date, input_latency_ms, sample_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null or out-of-range numeric values for input_latency_ms or sample_count may affect weighted mean computation
- Empty rows array (minItems: 1 not met) causes rejection
- Invalid field enum value (must be input_latency_ms or sample_count)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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