# Study Recruitment Exact Row Deduplication + Two-Measure Correlation

> Study Recruitment Exact Row Deduplication + 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 2026-10-25).

Deduplicates exact duplicate rows and computes correlation between eligible_candidates and enrolled_candidates for up to 200 study recruitment records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-09-050?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-exact-row-deduplication-two-measure-correlation-fc29ffc1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ui94MwvoX6zk_qNa6WE8a

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-exact-row-deduplication-two-measure-correlation-fc29ffc1 -d '<json body>'
```

Example prompt: I have 150 study recruitment records with date, course_group, eligible_candidates, and enrolled_candidates fields — can you deduplicate the exact duplicate rows and also compute the correlation between eligible and enrolled candidates across those records?

## When to prefer this

Choose this endpoint when you need both exact duplicate removal and a two-measure correlation analysis on study recruitment data (eligible vs enrolled candidates) in a single low-cost call. It is ideal for education or clinical research workflows where you have up to 200 rows and need offline, deterministic analytics without any external lookups or predictions. Prefer this over general-purpose analytics tools when you want a cheap, reproducible, schema-validated result on structured recruitment data.

## Known failure modes

- More than 200 rows submitted — request rejected with row limit error
- Missing required fields (row_id, date, eligible_candidates, enrolled_candidates) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- All rows are unique — deduplication report returns zero duplicates removed
- Null values in eligible_candidates or enrolled_candidates may reduce correlation sample size
- Payment not attached or insufficient — x402 payment required error

## How this service works

Study recruitment — Exact row deduplication + Two-measure correlation: Exact row deduplication + 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 analytical reports for the submitted rows: (1) an exact row deduplication report identifying and removing fully duplicate rows, and (2) a Pearson or equivalent two-measure correlation report quantifying the statistical relationship between eligible_candidates and enrolled_candidates. No external data is fetched; all analysis is performed on the supplied rows.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/study-recruitment-exact-row-deduplication-two-measure-correlation-fc29ffc1/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)