# Research Task Completion — Base-100 Series + Secondary-Measure Weighted Mean

> Research Task Completion — Base-100 Series + 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 2026-10-17).

Computes a Base-100 index series and a secondary-measure weighted mean for research task completion records (completed_tasks, assigned_tasks) from up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-22-166?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/research-task-completion-base-100-series-secondary-measure-weighted-4646f794
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_d7fvjozbAkzl0MubIIXRv

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 research-task-completion-base-100-series-secondary-measure-weighted-4646f794 -d '<json body>'
```

Example prompt: Can you run a base-100 index series and weighted mean analysis on my research task completion data? I have 4 rows for two groups — group-a and group-b — with completed_tasks as the primary field and base_index set to 0. Here's the data: row-1 2026-10-01 group-a assigned=1 completed=10, row-2 2026-10-02 group-b assigned=2 completed=20, row-3 2026-10-03 group-a assigned=3 completed=15, row-4 2026-10-04 group-b assigned=4 completed=30.

## When to prefer this

Choose this endpoint when you need both a normalized Base-100 time series and a weighted mean for research task completion data (completed_tasks / assigned_tasks) in a single low-cost call. It is ideal for small-to-medium datasets (up to 200 rows) grouped by company_group and date, where you want two complementary statistical summaries without building your own analytics pipeline. Prefer alternatives if you need live lookups, forecasting, or more than 200 rows.

## Known failure modes

- More than 200 rows submitted — returns validation error
- Missing required fields (row_id, company_group, date, completed_tasks, or assigned_tasks) — returns schema error
- Invalid date format (not YYYY-MM-DD) — returns pattern validation error
- base_index out of range (>= number of rows) — returns index error
- All null values for selected field — computation may return null or error
- Payment not completed — returns 402 Payment Required

## How this service works

Research task completion — Base-100 series + Secondary-measure weighted mean: Base-100 series + Secondary-measure weighted mean for supplied research task completion records (completed_tasks, assigned_tasks). 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: (1) a Base-100 index series showing how the selected measure (completed_tasks or assigned_tasks) evolves relative to the chosen base row, and (2) a secondary-measure weighted mean across the supplied rows — both computed locally on up to 200 input records without external lookups or predictions.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "completed_tasks",
     "assigned_tasks"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "assigned_tasks": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "completed_tasks": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "assigned_tasks": 1,
     "completed_tasks": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "assigned_tasks": 2,
     "completed_tasks": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "assigned_tasks": 3,
     "completed_tasks": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "assigned_tasks": 4,
     "completed_tasks": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "completed_tasks",
    "assigned_tasks"
   ],
   "type": "string",
   "default": "completed_tasks"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/research-task-completion-base-100-series-secondary-measure-weighted-4646f794/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)