# Render Jobs Daily Sum Series & Base-100 Series Analyzer

> Render Jobs Daily Sum Series & Base-100 Series Analyzer 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).

Computes a daily sum time series and a base-100 index series for supplied render job records (render_seconds or sample_count), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-138?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-daily-sum-series-base-100-series-analyzer-b7cf6853
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_29fjq-Ojk_DzRxJdxl6dG

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-daily-sum-series-base-100-series-analyzer-b7cf6853 -d '<json body>'
```

Example prompt: I have render job logs for October 2026 across two asset groups — here are 4 rows with date, row_id, asset_group, render_seconds, and sample_count. Can you give me a daily sum series and a base-100 index series for render_seconds, using row 0 as the base?

## When to prefer this

Choose this endpoint when you have raw render job records and need both a daily aggregated sum and a normalized base-100 trend index in a single API call. It is ideal for creative/media production analytics where you want to track rendering throughput or sample volume over time and compare trends relative to a reference date, without needing external data enrichment or live lookups. The bundled two-report output at $0.01 USDC makes it cost-efficient for batch analytical tasks on datasets up to 200 rows.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, render_seconds, sample_count, asset_group) cause row-level errors
- Invalid date format (not YYYY-MM-DD) may cause incorrect grouping or rejection
- base_index out of range (>=number of rows) causes indexing failure
- Null values in render_seconds or sample_count may affect sum accuracy
- Payment failure via x402 protocol prevents execution

## How this service works

Render jobs — Daily sum series + Base-100 series: Daily sum series + 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 analytical reports: (1) a daily sum series showing the total of the selected metric (render_seconds or sample_count) aggregated by date, and (2) a base-100 index series showing each day's value normalized relative to the value at the specified base index row. Both reports are computed locally from the supplied input rows (up to 200), with no external data 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-daily-sum-series-base-100-series-analyzer-b7cf6853/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)