# Study Recruitment Daily Sum Series + Two-Measure Correlation

> Study Recruitment Daily Sum Series + Two-Measure Correlation 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 a daily sum time series and a Pearson/Spearman correlation between eligible_candidates and enrolled_candidates from supplied study recruitment row data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-09-141?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-two-measure-correlation-f8081169
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_STit4Q2e3kp03QnLeFSLl

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-two-measure-correlation-f8081169 -d '<json body>'
```

Example prompt: Can you run the daily sum series and correlation analysis on my study recruitment data? I have rows with dates from 2026-10-01 to 2026-10-04, two course groups (group-a and group-b), and both eligible_candidates and enrolled_candidates counts — use eligible_candidates as the primary field.

## When to prefer this

Choose this endpoint when you have up to 200 rows of study or course recruitment records with date, group, and dual numeric measures, and you need both a time-series daily aggregation and a correlation statistic in a single low-cost call. It is purpose-built for the eligible_candidates / enrolled_candidates schema and cheaper than general-purpose analytics APIs when your data fits this shape.

## Known failure modes

- Missing required fields (row_id, date, eligible_candidates, enrolled_candidates) cause validation errors
- Input exceeding 200 rows is rejected
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- All-null values for a measure prevent correlation computation
- Payment of 0.01 USDC not confirmed blocks request processing

## How this service works

Study recruitment — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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 statistical reports: (1) a daily sum series aggregating the chosen measure (eligible_candidates or enrolled_candidates) by date, and (2) a correlation analysis between eligible_candidates and enrolled_candidates across all supplied rows. Results are computed locally from the submitted data 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/study-recruitment-daily-sum-series-two-measure-correlation-f8081169/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)