# Survey Participation Data Quality Suite: Record Audit + Deduplication + Numeric Filter

> Survey Participation Data Quality Suite: Record Audit + Deduplication + Numeric Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Runs three local analytical reports on survey participation data — record quality audit, exact row deduplication, and numeric interval filtering — for up to 200 rows of respondent/invitation records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-214?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-data-quality-suite-record-audit-deduplication-5da4fc12
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_joC0mRGH6qhiwcnG2gTkN

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-record-audit-deduplication-5da4fc12 -d '<json body>'
```

Example prompt: Can you audit my survey participation records for quality issues, remove exact duplicate rows, and filter to only keep rows where respondents is between 5 and 150? I have up to 50 rows with fields like row_id, course_group, date, respondents, and invitations.

## When to prefer this

Choose this endpoint when you need to simultaneously audit data quality, remove duplicate rows, and apply a numeric range filter on survey participation data (respondents/invitations) in a single low-cost call. It is ideal for education or course-group survey datasets of up to 200 rows where you want three analytical perspectives at once without any external API calls or live data lookups. Prefer alternatives if you need predictive analytics, live survey platform integration, statistical modeling, or datasets larger than 200 rows.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- Missing required fields (row_id, course_group, date, respondents, or invitations) causes row rejection
- Minimum value greater than maximum value produces empty interval filter results
- Non-numeric values in respondents or invitations fields cause parsing errors
- Payment not attached or insufficient USDC balance causes 402 payment required response

## How this service works

Survey participation — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter 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 highlighting missing, malformed, or suspect values in each row; (2) an exact row deduplication report identifying and grouping identical records; (3) a numeric interval filter report listing which rows fall within the specified minimum–maximum range for the chosen field (respondents or invitations). All processing is local 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-data-quality-suite-record-audit-deduplication-5da4fc12/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)