# Survey Participation Analytics — String Normalisation & Numeric Distribution

> Survey Participation Analytics — String Normalisation & Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Normalises string fields and computes numeric distribution statistics for survey participation data (respondents and invitations) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-022?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/survey-participation-analytics-string-normalisation-numeric-25373271
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_J1peOJbdQ0AYlRQaSvuZy

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-analytics-string-normalisation-numeric-25373271 -d '<json body>'
```

Example prompt: Can you normalize the course group strings and compute the numeric distribution for the respondents field across these 4 survey participation records: row-1 on 2026-10-01 for group-a with 10 respondents and 1 invitation, row-2 on 2026-10-02 for group-b with 20 respondents and 2 invitations, row-3 on 2026-10-03 for group-a with 15 respondents and 3 invitations, and row-4 on 2026-10-04 for group-b with 30 respondents and 4 invitations?

## When to prefer this

Choose this endpoint when you have tabular survey participation data (respondents and invitations by course group and date) and need both string normalisation and numeric distribution analysis in a single low-cost call. It is ideal for education or training survey datasets up to 200 rows where no live lookup, external prediction, or real-time data is required. It bundles two reports for $0.01 USDC, making it cost-effective for batch analytical preprocessing.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, course_group, date, respondents, invitations) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) — validation error
- Invalid field selector (must be 'respondents' or 'invitations') — enum validation error

## How this service works

Survey participation — String normalisation + Numeric distribution: String normalisation + Numeric distribution 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: (1) a string normalisation report covering the course_group and related text fields across all submitted rows, and (2) a numeric distribution report for the selected field (respondents or invitations), including statistical distribution metrics. Both 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/survey-participation-analytics-string-normalisation-numeric-25373271/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)