# Illustration Estimates — Category Frequencies + Secondary-Measure Weighted Mean

> Illustration Estimates — Category Frequencies + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-03).

Computes category frequency distribution and a secondary-measure weighted mean across supplied illustration estimate records (estimated_hours, actual_hours) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-19-109?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-03
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/illustration-estimates-category-frequencies-secondary-measure-726cc352
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_V_9-a59f_gsbmvf0zok0Y

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 illustration-estimates-category-frequencies-secondary-measure-726cc352 -d '<json body>'
```

Example prompt: I have 4 illustration estimate records across asset groups 'backgrounds' and 'characters' with dates from 2025-01-01 to 2025-01-04 and estimated_hours of 10, 20, 15, 30 with actual_hours of 1, 2, 3, 4 — can you run the category frequency and weighted mean report using estimated_hours as the secondary measure?

## When to prefer this

Choose this endpoint when you need two specific statistical outputs — category frequency counts and a secondary-measure weighted mean — for illustration project time data (estimated vs actual hours) in a single $0.01 call. It is best suited for creative production analytics, time-tracking audits, and asset group profiling where all data is already on hand and no external data fetch or prediction is needed. Prefer it over general analytics tools when working with illustration-specific asset_group segmentation and hours fields up to 200 rows.

## Known failure modes

- Rows array is empty or missing — returns validation error
- More than 200 rows submitted — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in both estimated_hours and actual_hours for all rows — weighted mean may be undefined or zero
- Invalid field enum value — schema rejection
- row_id missing or blank — required field error

## How this service works

Illustration estimates — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean for supplied illustration estimates records (estimated_hours, actual_hours). 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 co-generated analytical reports: (1) a category frequency table showing how often each asset_group value appears across the submitted rows, and (2) a weighted mean of the selected secondary measure (estimated_hours or actual_hours) computed across categories — all derived locally from supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/illustration-estimates-category-frequencies-secondary-measure-726cc352/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)