# Survey Participation — Adjacent Row Changes + Secondary-Measure Weighted Mean

> Survey Participation — Adjacent Row Changes + Secondary-Measure Weighted Mean 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).

Computes adjacent row-to-row changes and secondary-measure weighted mean for survey participation data (respondents and invitations) over up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-159?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-adjacent-row-changes-secondary-measure-weighted-e7e1641c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nkqjX59boaaNAdTUVp9BC

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-secondary-measure-weighted-e7e1641c -d '<json body>'
```

Example prompt: Can you compute adjacent row changes and the invitations-weighted mean for my survey participation data? I have 4 rows: 2026-10-01 group-a had 10 respondents and 1 invitation, 2026-10-02 group-b had 20 respondents and 2 invitations, 2026-10-03 group-a had 15 respondents and 3 invitations, 2026-10-04 group-b had 30 respondents and 4 invitations — run both reports on the invitations field.

## When to prefer this

Use this endpoint when you have survey participation data with respondents and invitation counts per row and need two specific calculations — adjacent row changes and a secondary-measure weighted mean — performed together in a single call. It is ideal for education survey analytics workflows where you want quick statistical summaries without setting up a local computation environment. Prefer this over generic analytics platforms when you need a low-cost ($0.01), lightweight, schema-validated batch computation on up to 200 rows.

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — exceeds maximum, rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, course_group, date, respondents, invitations) — validation error
- Invalid field enum value (not 'respondents' or 'invitations') — rejected
- Null values for both respondents and invitations in a row — may produce undefined weighted mean

## How this service works

Survey participation — Adjacent row changes + Secondary-measure weighted mean: Adjacent row changes + Secondary-measure weighted mean 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

Two analytical reports: (1) adjacent row changes showing the difference between consecutive rows for the selected field (respondents or invitations), and (2) a secondary-measure weighted mean calculated across all supplied rows using the complementary field as a weight — all computed locally from the supplied data with no external lookup.

## 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-adjacent-row-changes-secondary-measure-weighted-e7e1641c/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)