# Render Jobs — Base-100 Series + Two-Measure Correlation

> Render Jobs — Base-100 Series + 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 2026-10-17).

Computes a Base-100 indexed time series and a two-measure correlation report for render job records (render_seconds, sample_count) supplied by the caller — up to 200 rows, no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-165?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/render-jobs-base-100-series-two-measure-correlation-1bdc8e64
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_d-m-FhLoLHQ2NHOgQpwl-

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-jobs-base-100-series-two-measure-correlation-1bdc8e64 -d '<json body>'
```

Example prompt: Can you run a base-100 indexed series on render_seconds (starting from row index 0) and also compute the two-measure correlation between render_seconds and sample_count for these render job records: row-1 on 2026-10-01 for group-a with render_seconds=120 and sample_count=50, row-2 on 2026-10-02 for group-b with render_seconds=200 and sample_count=80?

## When to prefer this

Choose this endpoint when you have up to 200 render job records with render_seconds and sample_count values and need both a normalized baseline-indexed time series AND a correlation statistic between the two measures in a single low-cost call ($0.01 USDC). Prefer it over generic stats tools when your data is already structured in the render-job schema (row_id, asset_group, date, render_seconds, sample_count) and you want offline, deterministic analytics without external API dependencies.

## Known failure modes

- Fewer than 1 row supplied returns a validation error
- More than 200 rows supplied exceeds the maxItems limit and is rejected
- Missing required fields (row_id, date, asset_group) cause schema validation failure
- Dates not matching YYYY-MM-DD pattern are rejected
- base_index out of range (0–199) causes an error
- Null values in both numeric fields may degrade or nullify the correlation result

## How this service works

Render jobs — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation for supplied render jobs records (render_seconds, 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 Base-100 indexed time series for the selected field (render_seconds or sample_count) relative to the specified base row index, and (2) a two-measure correlation result quantifying the statistical relationship between render_seconds and sample_count across the supplied rows — all computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "render_seconds",
     "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
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "sample_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "render_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "sample_count": 1,
     "render_seconds": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "sample_count": 2,
     "render_seconds": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "sample_count": 3,
     "render_seconds": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "sample_count": 4,
     "render_seconds": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "render_seconds",
    "sample_count"
   ],
   "type": "string",
   "default": "render_seconds"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-base-100-series-two-measure-correlation-1bdc8e64/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)