# Survey Participation String Normalisation & Adjacent Row Changes

> Survey Participation String Normalisation & Adjacent Row Changes 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).

Runs two local analytical reports on survey participation data: string normalisation and adjacent row changes, for up to 200 rows of respondent/invitation records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-029?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-string-normalisation-adjacent-row-changes-a0f1a1b8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gI6uVGuSNa264z35MUTYY

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-adjacent-row-changes-a0f1a1b8 -d '<json body>'
```

Example prompt: Can you run string normalisation and adjacent row changes reports on my survey participation data? I have 4 rows for course groups 'group-a' and 'group-b' from 2026-10-01 to 2026-10-04, with respondent counts of 10, 20, 15, and 30, and I want to analyse the respondents field.

## When to prefer this

Choose this endpoint when you have up to 200 rows of survey participation data (respondents and invitations by course group and date) and need both string normalisation of categorical text fields and adjacent row change detection on a numeric field in a single low-cost call. It is ideal for lightweight data quality and delta analysis without needing live data connections, predictions, or external services.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, course_group, date, respondents, invitations) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Invalid field enum value (must be 'respondents' or 'invitations') — error
- Empty rows array — minimum 1 row required

## How this service works

Survey participation — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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) a string normalisation report standardising the course_group text field across all submitted rows, and (2) an adjacent row changes report showing the delta in the selected numeric field (respondents or invitations) between consecutive rows. No external lookups or predictions are made; all analysis runs on the supplied data only.

## 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-string-normalisation-adjacent-row-changes-a0f1a1b8/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)