# Survey Participation Data Quality Suite — Audit, Normalise & Deduplicate

> Survey Participation Data Quality Suite — Audit, Normalise & Deduplicate 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 three local analytical reports on survey participation records: record quality audit, string normalisation, and exact row deduplication — up to 200 rows, no external lookups.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-191?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-data-quality-suite-audit-normalise-deduplicate-b3bfd352
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_J0-xNiPoQjPtrkoeWi5KW

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-data-quality-suite-audit-normalise-deduplicate-b3bfd352 -d '<json body>'
```

Example prompt: Can you audit, normalise the strings, and deduplicate my survey participation records? I have rows for course groups like 'group-a' and 'group-b' with dates, respondent counts, and invitation counts — up to 50 rows — and I want all three reports back.

## When to prefer this

Choose this endpoint when you need a bundled, low-cost data quality pass on survey participation records (respondents and invitations by course group and date) — specifically when you want all three operations (quality audit, string normalisation, exact deduplication) in a single call for up to 200 rows without any external API lookups or ML predictions.

## Known failure modes

- Payload exceeds 200 rows — request rejected
- Row missing required fields (row_id, course_group, date, respondents, invitations) — validation error
- Date field does not match YYYY-MM-DD pattern — schema rejection
- Numeric fields outside allowed range (±1,000,000,000,000) — schema error
- Empty rows array — minimum items constraint violated
- Payment of 0.01 USDC not provided — 402 Payment Required

## How this service works

Survey participation — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied survey participation records (respondents, invitations). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalisation report detailing changes made to text fields like course_group; (3) an exact row deduplication report identifying and removing fully duplicate rows. All processing is done 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/survey-participation-data-quality-suite-audit-normalise-deduplicate-b3bfd352/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)