# Controller Sampling — String Normalisation + Secondary-Measure Weighted Mean

> Controller Sampling — 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 2026-10-26).

Normalises game-area strings and computes a sample-count-weighted mean of input_latency_ms (or vice versa) across up to 200 controller sampling records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-15-034?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/controller-sampling-string-normalisation-secondary-measure-weighted-10dbc305
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-KkySHU2LINsWuLp8m_g1

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability controller-sampling-string-normalisation-secondary-measure-weighted-10dbc305 -d '<json body>'
```

Example prompt: I have 4 controller sampling records — row-1 on 2026-10-01 in group-a with input_latency_ms 10 and sample_count 1, row-2 on 2026-10-02 in group-b with input_latency_ms 20 and sample_count 2, row-3 on 2026-10-03 in group-a with input_latency_ms 15 and sample_count 3, row-4 on 2026-10-04 in group-b with input_latency_ms 30 and sample_count 4 — can you normalise the game_area strings and give me the sample-count-weighted mean of input_latency_ms?

## When to prefer this

Choose this endpoint when you have controller sampling records with game area labels that need string normalisation AND you need a weighted mean computation where one numeric measure (e.g. sample_count) weights the average of another (e.g. input_latency_ms). It is a fixed-price offline computation — no live lookup, prediction, or external action — making it ideal for batch analytical post-processing of gaming telemetry data up to 200 rows.

## Known failure modes

- Exceeding 200 rows causes rejection — trim input to maxItems limit
- Missing required fields (row_id, date, game_area, input_latency_ms, sample_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error — at least 1 row required
- Invalid enum value for field parameter (must be input_latency_ms or sample_count) causes failure
- Payment not included or insufficient USDC causes 402 response

## How this service works

Controller sampling — String normalisation + Secondary-measure weighted mean: String normalisation + 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) a string-normalised version of the game_area field across all submitted rows, and (2) a secondary-measure weighted mean of the selected field (input_latency_ms or sample_count) using the other measure as the weight, computed over up to 200 input rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "game_area",
     "date",
     "input_latency_ms",
     "sample_count"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "game_area": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "sample_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "input_latency_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "game_area": "group-a",
     "sample_count": 1,
     "input_latency_ms": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "game_area": "group-b",
     "sample_count": 2,
     "input_latency_ms": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "game_area": "group-a",
     "sample_count": 3,
     "input_latency_ms": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "game_area": "group-b",
     "sample_count": 4,
     "input_latency_ms": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "input_latency_ms",
    "sample_count"
   ],
   "type": "string",
   "default": "input_latency_ms"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/controller-sampling-string-normalisation-secondary-measure-weighted-10dbc305/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)