# Compositing Graphs — Daily Sum Series + Trailing Mean Series

> Compositing Graphs — Daily Sum Series + 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).

Computes daily sum series and trailing mean series for compositing graph metrics (node_count, render_seconds) from supplied row data, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-09-136?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-daily-sum-series-trailing-mean-series-342991b0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QNTpjifthCe6Wsqc_6PrO

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-daily-sum-series-trailing-mean-series-342991b0 -d '<json body>'
```

Example prompt: Analyze my compositing graph data — here are 4 rows with dates from 2026-10-01 to 2026-10-04, asset groups group-a and group-b, with node_count values 10, 20, 15, 30 and render_seconds 1, 2, 3, 4 — give me the daily sum series and trailing mean series for node_count using a window of 3.

## When to prefer this

Choose this endpoint when you have compositing graph records (with node_count and render_seconds metrics) and need both a daily sum time series and a smoothed trailing mean in a single low-cost call. Ideal for creative production pipelines, render farm analytics, or any workflow where you supply your own data and need local aggregation without external API dependencies. Prefer it over generic analytics tools when your data fits the compositing graph schema and you want both reports for $0.01 USDC.

## Known failure modes

- Missing required fields (row_id, date, asset_group, node_count, render_seconds) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Row count exceeding 200 items is rejected
- Window value outside 2–200 range triggers a validation error
- Null numeric values in the selected field may affect aggregation results
- Invalid field enum value (not node_count or render_seconds) causes rejection

## How this service works

Compositing graphs — Daily sum series + Trailing mean series: Daily sum series + Trailing mean 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 for up to 200 rows: (1) a daily sum series aggregating the chosen metric (node_count or render_seconds) by date, and (2) a trailing mean series computed over the specified rolling window — both derived from the supplied compositing graph records using local analytical engines, 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/compositing-graphs-daily-sum-series-trailing-mean-series-342991b0/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)