# Render Jobs Daily Sum Series + IQR Outlier Flags

> Render Jobs Daily Sum Series + IQR Outlier Flags 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 daily sum time series and IQR-based outlier flags for render job records (render_seconds or sample_count) across up to 200 rows, producing 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-02-140?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-daily-sum-series-iqr-outlier-flags-ba0f08f3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OaE48TG88zhFz5DcMwxbz

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-iqr-outlier-flags-ba0f08f3 -d '<json body>'
```

Example prompt: I have render job records with dates, render_seconds, and sample_count for groups A and B — can you compute the daily sum time series and flag any IQR outliers on render_seconds for up to these 200 rows?

## When to prefer this

Choose this endpoint when you have tabular render job records with dates and numeric metrics and need both a daily aggregate time series and IQR statistical outlier detection in a single low-cost call. Ideal for media/rendering pipelines where you want to spot anomalous days without building your own analytics stack. Best when your dataset is under 200 rows and you need two reports at once for $0.01.

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, date, render_seconds, sample_count) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — rejected
- Field selector not one of 'render_seconds' or 'sample_count' — enum validation failure
- Payment of 0.01 USDC not provided or rejected — 402 response

## How this service works

Render jobs — Daily sum series + IQR outlier flags: Daily sum series + IQR outlier flags 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

Two independent analytical reports: (1) a daily sum time series aggregating the chosen field (render_seconds or sample_count) by date, and (2) IQR-based outlier flags identifying which dates or records fall outside the interquartile range. Both reports are derived entirely from the supplied input rows with no external data lookup.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/render-jobs-daily-sum-series-iqr-outlier-flags-ba0f08f3/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)