# Survey Participation — String Normalisation + Numeric Interval Filter

> Survey Participation — String Normalisation + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-04).

Normalises course_group strings and filters survey participation records (respondents or invitations) by a numeric min/max interval, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-026?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-04
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/survey-participation-string-normalisation-numeric-interval-filter-17a3d42f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LHKFYLFkO7M7kkYIsAf9j

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-string-normalisation-numeric-interval-filter-17a3d42f -d '<json body>'
```

Example prompt: I have a batch of survey participation records with course_group labels that need cleaning — can you normalise those strings and filter by respondents between 5 and 50? Here are 4 rows: row-1 on 2026-10-01, course group 'group-a', respondents 10, invitations 1; row-2 on 2026-10-02, 'group-b', respondents 20, invitations 2; row-3 on 2026-10-03, 'group-a', respondents 15, invitations 3; row-4 on 2026-10-04, 'group-b', respondents 30, invitations 4.

## When to prefer this

Choose this endpoint when you have up to 200 survey participation records that need both string normalisation on course_group labels and numeric interval filtering on respondents or invitations in a single $0.01 call. It is ideal for lightweight education survey analytics where no live data lookup, prediction, or external integration is needed — just deterministic, local computation on supplied data.

## Known failure modes

- Rows array empty or missing — validation error
- More than 200 rows supplied — rejected with maxItems error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- minimum value greater than maximum value — may return empty filter result
- Numeric field values outside ±1,000,000,000,000 — rejected by schema
- Invalid field enum value (not 'respondents' or 'invitations') — schema error

## How this service works

Survey participation — String normalisation + Numeric interval filter: String normalisation + Numeric interval filter 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

Two analytical reports: one covering string-normalised course_group values across the supplied rows, and one showing records where the chosen numeric field (respondents or invitations) falls within the specified min–max interval. Reports are computed locally with no 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-string-normalisation-numeric-interval-filter-17a3d42f/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)