# Render Jobs — String Normalisation + Numeric Interval Filter

> Render Jobs — String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).

Normalises string fields and filters render job records by a numeric interval (min/max) on render_seconds or sample_count, returning 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-026?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/render-jobs-string-normalisation-numeric-interval-filter-8a82494d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_c-nrs412q4RibkGmCrSy-

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-numeric-interval-filter-8a82494d -d '<json body>'
```

Example prompt: I have 150 render job rows with asset_group, render_seconds, and sample_count — can you normalize the string fields and filter to only rows where render_seconds is between 5 and 120, then give me the two analytical reports?

## When to prefer this

Choose this endpoint when you have render job records (with render_seconds and sample_count) and need both string normalisation and numeric range filtering in a single call, receiving two structured analytical reports for up to 200 rows. Prefer it over generic data tools when working within a creative/3D rendering pipeline context and when a low flat-rate ($0.01 USDC for 2 reports) matters. Not suitable for real-time lookups, predictions, or datasets exceeding 200 rows.

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Numeric values outside ±1,000,000,000,000 — schema rejection
- Missing required fields (row_id, asset_group, date, render_seconds, sample_count) — validation error
- minimum greater than maximum — may return empty filter results
- Non-numeric values passed for render_seconds or sample_count — type error

## How this service works

Render jobs — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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 2 independent analytical reports covering the supplied render job rows (up to 200): one for string normalisation results and one for numeric interval filtering on the chosen field (render_seconds or sample_count), including which rows pass the min/max threshold.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-string-normalisation-numeric-interval-filter-8a82494d/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)