# Research Samples — Numeric Distribution + Date-by-Category Pivot

> Research Samples — Numeric Distribution + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Computes two local analytical reports (numeric distribution and date-by-category pivot) on up to 200 supplied research sample rows with sample_value and sample_weight fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-07-083?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/research-samples-numeric-distribution-date-by-category-pivot-4ac943ad
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_G-mEyRMoK5O4PWydqIUGR

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-samples-numeric-distribution-date-by-category-pivot-4ac943ad -d '<json body>'
```

Example prompt: Can you run a numeric distribution and date-by-category pivot on my research sample data? I have 4 rows — row-1 in group-a on 2026-10-01 with sample_value 10 and sample_weight 1, row-2 in group-b on 2026-10-02 with value 20 weight 2, row-3 in group-a on 2026-10-03 with value 15 weight 3, row-4 in group-b on 2026-10-04 with value 30 weight 4 — and I want the analysis on the sample_value field.

## When to prefer this

Choose this endpoint when you need two fast, offline analytical reports (numeric distribution + date-by-category pivot) on a small-to-medium research dataset (up to 200 rows) with sample_value and sample_weight dimensions grouped by course_group and date, without requiring any live data lookup, ML prediction, or external service calls. It is cost-effective at $0.01 for both reports together and ideal for education or research workflows needing quick descriptive statistics and pivot summaries.

## Known failure modes

- Rows array empty or missing — minimum 1 row required
- More than 200 rows submitted — maxItems limit exceeded
- Invalid date format — must match YYYY-MM-DD pattern
- sample_value or sample_weight outside allowed range (-1e12 to 1e12)
- Missing required row fields (row_id, course_group, date) — validation error
- Invalid field enum value — must be 'sample_value' or 'sample_weight'
- Payment not provided or insufficient — x402 payment of 0.01 USDC required

## How this service works

Research samples — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot for supplied research samples records (sample_value, sample_weight). 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 numeric distribution breakdown (e.g. min, max, mean, percentiles, histogram bins) of the selected field (sample_value or sample_weight), and (2) a date-by-category pivot table aggregating the selected field across course_group and date dimensions — all computed locally without external lookups or predictions.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/research-samples-numeric-distribution-date-by-category-pivot-4ac943ad/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)