# Survey Participation — Adjacent Row Changes + Explicit Missing-Value Fill

> Survey Participation — Adjacent Row Changes + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Computes adjacent-row change analysis and fills missing values in survey participation data (respondents and invitations) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-162?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/survey-participation-adjacent-row-changes-explicit-missing-value-fill-cbc1fb27
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Z3Mala5XFLeJRFKg-bWH4

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-adjacent-row-changes-explicit-missing-value-fill-cbc1fb27 -d '<json body>'
```

Example prompt: I have survey participation records for group-a and group-b across October 2026 — can you run an adjacent row change analysis and fill any missing respondent values using median imputation on these 4 rows: row-1 (2026-10-01, group-a, 10 respondents, 1 invitation), row-2 (2026-10-02, group-b, 20 respondents, 2 invitations), row-3 (2026-10-03, group-a, 15 respondents, null invitations), row-4 (2026-10-04, group-b, 30 respondents, 4 invitations)?

## When to prefer this

Choose this endpoint when you need to both detect row-over-row changes and impute missing numeric values in survey participation data (respondents or invitations) in a single $0.01 call. It is ideal for education or training survey datasets organized by course group and date, where you want two distinct analytical outputs without live lookups or external dependencies.

## Known failure modes

- Rows exceeding 200 items will be rejected — the array must contain 1–200 items
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Unrecognized field value (not 'respondents' or 'invitations') will be rejected
- Unrecognized method value (not 'zero', 'mean', or 'median') will cause an error
- Missing required fields (row_id, course_group, date, respondents, invitations) will fail validation
- Payment of 0.01 USDC must be included; unpaid requests will be rejected

## How this service works

Survey participation — Adjacent row changes + Explicit missing-value fill: Adjacent row changes + Explicit missing-value fill 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 analytical reports: (1) an adjacent row changes report showing the difference between consecutive rows for the target field, and (2) an explicit missing-value fill report where null values in the selected field (respondents or invitations) are replaced using the chosen strategy (zero, mean, or median). 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/survey-participation-adjacent-row-changes-explicit-missing-value-fill-cbc1fb27/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)