# Render Jobs String Normalisation + Base-100 Series

> Render Jobs String Normalisation + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Normalises render job metrics (render_seconds, sample_count) and computes a Base-100 indexed series for up to 200 supplied rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-030?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/render-jobs-string-normalisation-base-100-series-4fb9468f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KBk9WMOs83A40qaBS3IDl

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-string-normalisation-base-100-series-4fb9468f -d '<json body>'
```

Example prompt: Can you normalise my render job records and produce a base-100 index series on render_seconds, using row 0 as the base? I have 4 jobs: row-1 on 2026-10-01 in group-a with 10 render seconds and 1 sample, row-2 on 2026-10-02 in group-b with 20 seconds and 2 samples, row-3 on 2026-10-03 in group-a with 15 seconds and 3 samples, and row-4 on 2026-10-04 in group-b with 30 seconds and 4 samples.

## When to prefer this

Choose this endpoint when you have raw render job tabular data (up to 200 rows) and need both string normalisation and a Base-100 indexed series in a single low-cost call ($0.01 USDC). It is well-suited for offline/batch analytical reporting on rendering pipeline metrics without requiring any live data source, external lookup, or prediction. Prefer alternatives if you need more than 200 rows, live data enrichment, or statistical methods beyond normalisation and base indexing.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — rejected with validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index references a row index beyond the submitted row count — out-of-bounds error
- Null values in render_seconds or sample_count may affect index computation if the base row is null
- field value not in enum ['render_seconds','sample_count'] — schema validation error

## How this service works

Render jobs — String normalisation + Base-100 series: String normalisation + Base-100 series 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 reports: (1) string-normalised representations of the selected metric field across all supplied rows, and (2) a Base-100 indexed time series anchored at the specified base_index row, covering all submitted render job records up to 200 rows. No external data is fetched; all computation uses local analytical engines.

## 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-string-normalisation-base-100-series-4fb9468f/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)