# Frame Timing Analyzer — Numeric Distribution + Category Frequencies

> Frame Timing Analyzer — Numeric Distribution + Category Frequencies 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).

Computes numeric distribution statistics and category frequency counts for supplied frame timing records (frame_ms or draw_calls) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-01-072?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-analyzer-numeric-distribution-category-frequencies-8bb9fdf7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DRv4uMiTpimN8ipRKvm9H

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-analyzer-numeric-distribution-category-frequencies-8bb9fdf7 -d '<json body>'
```

Example prompt: Analyze the distribution of frame_ms values and category frequencies for my game telemetry — here are my frame timing records: [{"row_id":"s1","game_area":"level-1","date":"2025-01-10","frame_ms":16.7,"draw_calls":120},{"row_id":"s2","game_area":"level-2","date":"2025-01-10","frame_ms":33.3,"draw_calls":95}] and I want the report on frame_ms.

## When to prefer this

Choose this endpoint when you have frame timing game telemetry rows (frame_ms and draw_calls) and need both a statistical numeric distribution and category frequency breakdown in a single call. It is ideal for game developers and QA engineers analyzing rendering performance across game areas without needing an external data warehouse or live prediction system. It covers two reports per call at very low cost ($0.01 USDC).

## Known failure modes

- Empty rows array — must supply at least 1 row
- Rows exceeding 200 limit — request rejected
- Missing required fields (row_id, game_area, date, frame_ms, draw_calls) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid field value (must be 'frame_ms' or 'draw_calls')
- Payment failure — 0.01 USDC x402 payment required
- Numeric values outside allowed range (±1,000,000,000,000)

## How this service works

Frame timing — Numeric distribution + Category frequencies: Numeric distribution + Category frequencies 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

Returns two analytical reports: (1) a numeric distribution summary (e.g. min, max, mean, median, percentiles, histogram buckets) for the selected field (frame_ms or draw_calls), and (2) category frequency counts for the game_area field — all computed locally from the supplied rows, up to 200 records.

## 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-analyzer-numeric-distribution-category-frequencies-8bb9fdf7/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)