# Render Jobs — Exact Row Deduplication + Trailing Mean Series

> Render Jobs — Exact Row Deduplication + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Deduplicates exact duplicate rows and computes a trailing mean series for render job records (render_seconds, sample_count) — two analytical reports from one call, up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-045?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-exact-row-deduplication-trailing-mean-series-088e687c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VNBXemIgEE1BEKgrtDjPy

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-exact-row-deduplication-trailing-mean-series-088e687c -d '<json body>'
```

Example prompt: I have a list of render job records with render_seconds and sample_count — can you deduplicate exact duplicate rows and then compute a trailing mean series with a window of 3 for render_seconds? Here are up to 200 rows.

## When to prefer this

Choose this endpoint when you need two specific local analytical operations — exact row deduplication and a trailing mean series — applied to render job data (render_seconds, sample_count) in a single low-cost call. Ideal for cleaning render pipeline logs before downstream analysis or dashboards. Prefer it over heavier analytics platforms when your dataset fits within 200 rows and you need fast, deterministic, offline computation with no external dependencies or live data lookups.

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — rejected, maxItems exceeded
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Window size outside 2–200 range — rejected
- Null values in render_seconds or sample_count may affect mean computation
- Missing required fields (row_id, date, asset_group) — request rejected

## How this service works

Render jobs — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean 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 analytical reports: (1) a deduplicated version of the supplied render job rows with exact duplicate records removed, and (2) a trailing mean series over the selected numeric field (render_seconds or sample_count) using the specified rolling window size — 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-exact-row-deduplication-trailing-mean-series-088e687c/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)