# Controller Sampling — Record Quality Audit + Numeric Row Ordering

> Controller Sampling — Record Quality Audit + 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 2026-10-24).

Audits controller sampling records for data quality issues and produces a numeric row ordering report for up to 200 rows of input_latency_ms and sample_count data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-15-007?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/controller-sampling-record-quality-audit-numeric-row-ordering-2ac60bc7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_7eT0K3pTBXwPDZySKt_S4

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-record-quality-audit-numeric-row-ordering-2ac60bc7 -d '<json body>'
```

Example prompt: Can you audit these controller sampling records for data quality issues and also rank them by input_latency_ms? I have 4 rows: row-1 on 2026-10-01 in group-a with sample_count 1 and input_latency_ms 10, row-2 on 2026-10-02 in group-b with sample_count 2 and input_latency_ms 20, row-3 on 2026-10-03 in group-a with sample_count 3 and input_latency_ms 15, row-4 on 2026-10-04 in group-b with sample_count 4 and input_latency_ms 30 — order by input_latency_ms.

## When to prefer this

Choose this endpoint when you have controller sampling records with input_latency_ms and sample_count fields and need both a data quality audit and a numeric ordering report in a single low-cost call. It is ideal for game telemetry QA workflows where you want to detect data issues and rank rows simultaneously without building custom analytics. Best suited for datasets of up to 200 rows where no live prediction, external lookup, or professional assessment is needed.

## Known failure modes

- Submitting more than 200 rows causes rejection — keep input to maxItems:200
- Missing required fields (row_id, date, game_area) on any row will trigger validation errors
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Selecting a field value outside the allowed enum ['input_latency_ms','sample_count'] returns an error
- Null numeric values are accepted but may affect ordering report completeness

## How this service works

Controller sampling — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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 independent reports: (1) a record quality audit identifying issues such as missing values, out-of-range entries, or malformed fields across the supplied rows, and (2) a numeric row ordering ranking all supplied rows by the chosen field (input_latency_ms or sample_count). Both reports are computed locally from the supplied data with no external lookups.

## 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-record-quality-audit-numeric-row-ordering-2ac60bc7/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)