# Survey Participation Deduplication and Trailing Mean Series

> Survey Participation Deduplication and Trailing Mean Series 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).

Deduplicates survey participation records by exact row and computes a trailing mean time series for respondent or invitation counts across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-045?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-deduplication-and-trailing-mean-series-62f6c266
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4AgPTYPIhJ-ssD03lx7Hw

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-deduplication-and-trailing-mean-series-62f6c266 -d '<json body>'
```

Example prompt: Can you deduplicate my survey participation records and compute a trailing mean series with a window of 3 for respondent counts? I have rows with row_id, course_group, date, respondents, and invitations fields — up to 50 rows total.

## When to prefer this

Choose this endpoint when you have survey participation data (respondents and invitations keyed by course group and date) and need both exact-row deduplication and a rolling/trailing mean time series in a single low-cost call. Ideal for education analytics pipelines where raw participation logs may contain duplicate entries and trend smoothing is needed before reporting. Use when data is fully supplied locally and no external enrichment, prediction, or live lookup is required.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows supplied — exceeds maximum batch size
- Missing required fields (row_id, course_group, date, respondents, invitations) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size outside allowed range of 2–200
- Field value not one of allowed enum values: respondents or invitations
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)

## How this service works

Survey participation — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series 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 reports: (1) an exact row deduplication report identifying and removing fully duplicate rows from the supplied dataset, and (2) a trailing mean time series computed over the selected field (respondents or invitations) using the specified window size, derived entirely from the supplied data without any 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/survey-participation-deduplication-and-trailing-mean-series-62f6c266/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)