# Project Effort Secondary-Measure Weighted Mean with Missing-Value Fill

> Project Effort Secondary-Measure Weighted Mean with Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Computes a secondary-measure weighted mean and fills missing values for project effort records (estimated_hours, actual_hours) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-01-187?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/project-effort-secondary-measure-weighted-mean-with-missing-value-fill-7f029851
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gp5fLBRU1duMRQWrFMeS2

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 project-effort-secondary-measure-weighted-mean-with-missing-value-fill-7f029851 -d '<json body>'
```

Example prompt: Can you run a weighted mean analysis on my project effort data — I have 4 rows with team groups, dates, estimated_hours and actual_hours (some nulls) — use the actual_hours field, fill missing values with median, and give me both analytical reports?

## When to prefer this

Choose this endpoint when you need both a weighted mean aggregation and explicit missing-value imputation for project effort hour data (estimated or actual) in a single batch call. It is best suited for offline or near-real-time analytical reporting on tabular project records rather than live forecasting, prediction, or external data lookups. Prefer it over generic statistics APIs when you need the two-report combined output and the fill-method flexibility (zero, mean, median) for up to 200 rows at low cost.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, date, team_group) cause row-level validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Unsupported field or method enum value causes schema rejection
- All rows have null values for the selected field — weighted mean may be undefined or use only fill values
- Payment failure or insufficient USDC balance prevents processing

## How this service works

Project effort — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied project effort 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 analytical reports: a secondary-measure weighted mean result for the chosen field (estimated_hours or actual_hours) across the supplied rows, and an explicit missing-value fill report showing how nulls were handled using the selected method (zero, mean, or median). Covers up to 200 input rows per call.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_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
     },
     "team_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",
     "team_group": "group-a",
     "actual_hours": 1,
     "estimated_hours": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "actual_hours": 2,
     "estimated_hours": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "actual_hours": 3,
     "estimated_hours": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "actual_hours": 4,
     "estimated_hours": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "estimated_hours",
    "actual_hours"
   ],
   "type": "string",
   "default": "estimated_hours"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/project-effort-secondary-measure-weighted-mean-with-missing-value-fill-7f029851/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)