# Survey Participation Two-Measure Correlation and Missing-Value Fill

> Survey Participation Two-Measure Correlation and Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Computes Pearson correlation between respondents and invitations, and fills missing values using zero/mean/median imputation, for up to 200 survey participation records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-184?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/survey-participation-two-measure-correlation-and-missing-value-fill-568f852d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dFeVQyLul1SBUeUWh4pbV

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 survey-participation-two-measure-correlation-and-missing-value-fill-568f852d -d '<json body>'
```

Example prompt: I have up to 200 rows of survey participation data with respondent and invitation counts per course group and date — can you run a two-measure correlation between respondents and invitations, and fill any missing respondents values using median imputation?

## When to prefer this

Choose this endpoint when you have survey participation data (respondents and invitations) with up to 200 rows and need both a two-measure correlation analysis and missing-value imputation in a single low-cost call. Prefer it over general-purpose analytics when working specifically with course-group survey records and needing both reports bundled for $0.01 USDC. Not suitable for prediction, external data enrichment, or datasets larger than 200 rows.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, course_group, date, respondents, invitations) cause validation failure
- Invalid date format (non-YYYY-MM-DD) causes schema rejection
- Unsupported fill method enum value causes error
- All values in the target field are null, making mean/median imputation undefined
- Numeric values outside ±1,000,000,000,000 boundary cause validation failure

## How this service works

Survey participation — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied survey participation records (respondents, invitations). 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 Pearson correlation report quantifying the relationship between the two specified measures (respondents and invitations), and (2) a dataset with missing values in the chosen field filled using the selected imputation method (zero, mean, or median). Both reports are generated from the supplied rows without any external data lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/survey-participation-two-measure-correlation-and-missing-value-fill-568f852d/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)