# Render Farm Usage — String Normalisation + Two-Measure Correlation

> Render Farm Usage — String Normalisation + Two-Measure Correlation 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).

Normalises strings and computes two-measure correlation analysis for render farm usage records (node_hours, job_count) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-24-033?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/render-farm-usage-string-normalisation-two-measure-correlation-99d350b8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hTZgsVGWS_1-rhQMxMLJ-

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 render-farm-usage-string-normalisation-two-measure-correlation-99d350b8 -d '<json body>'
```

Example prompt: Can you normalize the string labels and compute the correlation between node_hours and job_count for my render farm usage records? I have 4 rows: row-1 on 2026-10-01 with group-a, 10 node hours, 1 job; row-2 on 2026-10-02 with group-b, 20 node hours, 2 jobs; row-3 on 2026-10-03 with group-a, 15 node hours, 3 jobs; row-4 on 2026-10-04 with group-b, 30 node hours, 4 jobs.

## When to prefer this

Choose this endpoint when you need both string normalisation and a two-measure correlation report on render farm usage data (node_hours vs job_count) in a single call for up to 200 rows, with no need for live lookups, predictions, or external integrations. It is cost-effective at $0.01 USDC for two bundled reports and is ideal for offline/batch analytical workflows on already-collected render job logs.

## Known failure modes

- Rows array empty or missing: validation error
- More than 200 rows submitted: request rejected
- Invalid date format (not YYYY-MM-DD): validation error
- node_hours or job_count outside allowed numeric range: validation error
- row_id missing or empty: validation error
- All node_hours or job_count values null: correlation report may be undefined or return NaN

## How this service works

Render farm usage — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation for supplied render farm usage records (node_hours, job_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

Two analytical reports: (1) a string normalisation report for asset_group and other string fields, and (2) a two-measure correlation analysis showing the statistical relationship between node_hours and job_count across the supplied rows. No external lookups or predictions — results are computed entirely from the submitted data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-farm-usage-string-normalisation-two-measure-correlation-99d350b8/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)