# Frame Timing Record Quality Audit and Numeric Row Ordering

> Frame Timing Record Quality Audit and 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 frame timing records (frame_ms, draw_calls) for data quality issues and orders rows numerically, producing two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-01-007?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/frame-timing-record-quality-audit-and-numeric-row-ordering-51341006
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KfjhjNeO-mVcXUSRi1auv

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 frame-timing-record-quality-audit-and-numeric-row-ordering-51341006 -d '<json body>'
```

Example prompt: Can you run a quality audit and numeric row ordering on these 4 frame timing records — row-1 on 2026-10-01 with frame_ms=10 and draw_calls=1 in group-a, row-2 on 2026-10-02 with frame_ms=20 and draw_calls=2 in group-b, row-3 on 2026-10-03 with frame_ms=15 and draw_calls=3 in group-a, and row-4 on 2026-10-04 with frame_ms=30 and draw_calls=4 in group-b — and use frame_ms as the field?

## When to prefer this

Choose this endpoint when you need both a data quality audit and a numeric ordering report on game frame timing records (frame_ms or draw_calls) in a single low-cost call. It is best suited for offline/batch validation of up to 200 rows of game performance data where no live lookup, prediction, or external action is needed. Prefer alternatives if you need real-time frame analysis, predictive modeling, or data from other domains such as matchmaking or texture baking.

## Known failure modes

- Input array is empty or exceeds 200 rows — validation error returned
- Required fields (row_id, game_area, date, frame_ms, draw_calls) missing from one or more rows — row-level error or rejection
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- field enum value not one of frame_ms or draw_calls — rejected with schema error
- Payment not provided or insufficient — 402 Payment Required
- All frame_ms or draw_calls values are null — ordering report may be empty or flagged

## How this service works

Frame timing — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied frame timing records (frame_ms, draw_calls). 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

Two independent analytical reports: (1) a record quality audit flagging data issues such as missing, null, or out-of-range values in frame_ms and draw_calls fields; and (2) a numeric row ordering ranking all submitted rows by the selected field (frame_ms or draw_calls). Results are derived entirely 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",
     "frame_ms",
     "draw_calls"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "frame_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "game_area": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "draw_calls": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "frame_ms": 10,
     "game_area": "group-a",
     "draw_calls": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "frame_ms": 20,
     "game_area": "group-b",
     "draw_calls": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "frame_ms": 15,
     "game_area": "group-a",
     "draw_calls": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "frame_ms": 30,
     "game_area": "group-b",
     "draw_calls": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "frame_ms",
    "draw_calls"
   ],
   "type": "string",
   "default": "frame_ms"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/frame-timing-record-quality-audit-and-numeric-row-ordering-51341006/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)