# Study Recruitment Numeric Distribution & Base-100 Series Analyzer

> Study Recruitment Numeric Distribution & Base-100 Series Analyzer is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Computes numeric distribution statistics and a base-100 index series for study recruitment data (eligible and enrolled candidates) across up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-09-078?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/study-recruitment-numeric-distribution-base-100-series-analyzer-dfe3505b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wSQnBnHN1efaAnehQ6KLl

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 study-recruitment-numeric-distribution-base-100-series-analyzer-dfe3505b -d '<json body>'
```

Example prompt: Can you run a numeric distribution report and base-100 index series on my study recruitment data — I have rows for group-a and group-b from October 2026 with eligible_candidates counts, indexed to row 0?

## When to prefer this

Choose this endpoint when you have tabular study or education recruitment data (up to 200 rows) and need both a numeric distribution breakdown and a base-100 indexed trend series in a single call for $0.01 USDC. It is ideal for offline or batch analytical tasks on supplied data without needing live data lookups, predictions, or external integrations. Prefer it over generic analytics tools when you want two bundled statistical reports on recruitment metrics in a cost-efficient, self-contained computation.

## Known failure modes

- Fewer than 1 row supplied — minItems validation error
- More than 200 rows supplied — maxItems validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Null values in numeric fields may affect distribution calculations
- base_index out of range (must be 0–199 and within row count) — validation error
- Missing required fields (row_id, course_group, date, eligible_candidates, enrolled_candidates) — schema error

## How this service works

Study recruitment — Numeric distribution + Base-100 series: Numeric distribution + Base-100 series for supplied study recruitment records (eligible_candidates, enrolled_candidates). 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

Two independent analytical reports: (1) a numeric distribution report summarizing spread, central tendency, and frequency of the selected field (eligible_candidates or enrolled_candidates) across up to 200 rows; (2) a base-100 index series anchored to the specified base_index row, showing relative change across the dataset. Both reports use local analytical engines with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "course_group",
     "date",
     "eligible_candidates",
     "enrolled_candidates"
    ],
    "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
     },
     "eligible_candidates": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "enrolled_candidates": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "course_group": "group-a",
     "eligible_candidates": 10,
     "enrolled_candidates": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "course_group": "group-b",
     "eligible_candidates": 20,
     "enrolled_candidates": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "course_group": "group-a",
     "eligible_candidates": 15,
     "enrolled_candidates": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "course_group": "group-b",
     "eligible_candidates": 30,
     "enrolled_candidates": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "eligible_candidates",
    "enrolled_candidates"
   ],
   "type": "string",
   "default": "eligible_candidates"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/study-recruitment-numeric-distribution-base-100-series-analyzer-dfe3505b/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)