# Compositing Graphs — Grouped Numeric Summary + Daily Sum Series

> Compositing Graphs — Grouped Numeric Summary + Daily Sum 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).

Generates two analytical reports for compositing graph data: a grouped numeric summary and a daily sum time series, for node_count or render_seconds metrics.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-09-089?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/compositing-graphs-grouped-numeric-summary-daily-sum-series-d664b32d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wIfmDBJjBdXAdRqkgj54v

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 compositing-graphs-grouped-numeric-summary-daily-sum-series-d664b32d -d '<json body>'
```

Example prompt: I have compositing job records with node counts and render seconds across asset groups — can you run a grouped numeric summary and a daily sum series on node_count for these rows: [{"row_id":"r1","asset_group":"hero-shots","date":"2026-10-01","node_count":120,"render_seconds":450},{"row_id":"r2","asset_group":"backgrounds","date":"2026-10-01","node_count":80,"render_seconds":300},{"row_id":"r3","asset_group":"hero-shots","date":"2026-10-02","node_count":150,"render_seconds":600}]?

## When to prefer this

Choose this endpoint when you have up to 200 compositing graph records and need both a grouped breakdown by asset_group and a daily aggregation trend for either node_count or render_seconds in a single low-cost call. It is ideal for render pipeline analytics where you want per-group statistics alongside a time series without setting up your own analytical infrastructure.

## Known failure modes

- Missing required fields (row_id, asset_group, date, node_count, render_seconds) causes validation error
- Date values not matching YYYY-MM-DD pattern are rejected
- Input array exceeding 200 rows returns an error
- Invalid field enum value (not node_count or render_seconds) causes rejection
- Empty rows array is not accepted (minItems:1)
- Payment failure via x402 protocol results in no response

## How this service works

Compositing graphs — Grouped numeric summary + Daily sum series: Grouped numeric summary + Daily sum series for supplied compositing graphs records (node_count, render_seconds). 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 independent analytical reports: (1) a grouped numeric summary of the chosen metric (node_count or render_seconds) broken down by asset_group, including statistics such as count, mean, min, max, and sum per group; and (2) a daily sum time series showing the total value of the chosen metric for each date present in the dataset. Both reports are computed locally from the supplied rows with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "node_count",
     "render_seconds"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "node_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "render_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "node_count": 10,
     "asset_group": "group-a",
     "render_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "node_count": 20,
     "asset_group": "group-b",
     "render_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "node_count": 15,
     "asset_group": "group-a",
     "render_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "node_count": 30,
     "asset_group": "group-b",
     "render_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "node_count",
    "render_seconds"
   ],
   "type": "string",
   "default": "node_count"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/compositing-graphs-grouped-numeric-summary-daily-sum-series-d664b32d/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)