# Survey Participation — Numeric Interval Filter + Two-Measure Correlation

> Survey Participation — Numeric Interval Filter + 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 2026-11-02).

Filters survey participation rows by a numeric range on a chosen measure and computes a two-measure correlation (respondents vs. invitations) across up to 200 supplied rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-131?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-numeric-interval-filter-two-measure-correlation-3897d775
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_kCU5wK5NLs0oW7dqUXCoN

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-numeric-interval-filter-two-measure-correlation-3897d775 -d '<json body>'
```

Example prompt: I have survey participation data for my education program — can you filter rows where respondents are between 10 and 150, then compute the correlation between respondents and invitations across all my course groups? I'll supply up to 80 rows.

## When to prefer this

Choose this endpoint when you have pre-collected survey participation records (up to 200 rows) and need both a numeric range filter on respondents or invitations AND a Pearson/two-measure correlation between those two measures in a single low-cost call. It is ideal for education analytics workflows where you want two bundled statistical reports without any external data fetching or live prediction.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Invalid date format (not YYYY-MM-DD) causes row validation failure
- Minimum greater than maximum causes empty or erroneous filter result
- Null values in respondents or invitations fields may reduce correlation sample size
- Missing required fields (row_id, course_group, date, respondents, invitations) cause row rejection
- Insufficient numeric variance in data yields undefined or degenerate correlation

## How this service works

Survey participation — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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 independent analytical reports: (1) the filtered subset of rows where the chosen measure (respondents or invitations) falls within the specified numeric interval [minimum, maximum], and (2) a two-measure correlation analysis between respondents and invitations across the supplied dataset, all computed locally without any external 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/survey-participation-numeric-interval-filter-two-measure-correlation-3897d775/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)