# Study Recruitment Daily Sum Series + Keyed Dataset Comparison

> Study Recruitment Daily Sum Series + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).

Computes daily sum time series and performs keyed dataset comparison for study recruitment data (eligible and enrolled candidates) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-09-144?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-28
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/study-recruitment-daily-sum-series-keyed-dataset-comparison-228d2cd7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DxpsVlpYDkF0WNxjimKGv

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-daily-sum-series-keyed-dataset-comparison-228d2cd7 -d '<json body>'
```

Example prompt: Can you compute a daily sum series and run a keyed dataset comparison for my study recruitment data? I have two datasets — primary and comparison — each with rows including date, course_group, eligible_candidates, and enrolled_candidates (up to 200 rows each), and I want to analyze the eligible_candidates field.

## When to prefer this

Choose this endpoint when you need both a daily aggregation time series AND a keyed comparison between two study recruitment datasets in a single API call. It is purpose-built for education and research recruitment contexts with eligible/enrolled candidate metrics. Prefer it over general analytics tools when your data fits within 200 rows and you want a cost-effective ($0.01 USDC) dual-report result without external data dependencies.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, course_group, date, eligible_candidates, enrolled_candidates) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Payment of 0.01 USDC not included or rejected — 402 Payment Required
- Empty rows array (minItems: 1 not met) — validation error

## How this service works

Study recruitment — Daily sum series + Keyed dataset comparison: Daily sum series + Keyed dataset comparison 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

Returns two independent analytical reports: (1) a daily sum series aggregating the selected metric (eligible_candidates or enrolled_candidates) by date, and (2) a keyed dataset comparison report contrasting the primary and secondary supplied datasets row-by-row or key-by-key. No external lookups or predictions are made; all computation is local.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/study-recruitment-daily-sum-series-keyed-dataset-comparison-228d2cd7/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)