# Survey Participation Weighted Mean & Keyed Dataset Comparison

> Survey Participation Weighted Mean & Keyed Dataset Comparison 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 a secondary-measure weighted mean and performs a keyed dataset comparison on up to 200 survey participation records (respondents/invitations)

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-186?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-weighted-mean-keyed-dataset-comparison-9e907538
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_azEaaigkH4dC6oErbp36v

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-weighted-mean-keyed-dataset-comparison-9e907538 -d '<json body>'
```

Example prompt: I have two sets of survey participation records across course groups — the primary dataset and a comparison dataset, each with respondents and invitations per day. Can you calculate the weighted mean of respondents across both sets and compare the two keyed datasets for me? I'll supply up to 200 rows.

## When to prefer this

Use this endpoint when you need both a weighted mean calculation and a keyed dataset comparison on survey participation data (respondents and invitations) in a single call for up to 200 rows. Prefer it over general statistics APIs when your data is structured around course groups and dates with an explicit field selector, and when you want two bundled analytical reports at low cost without any external data lookups.

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, course_group, date, respondents, invitations) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null numeric values where calculation requires non-null — weighted mean may be skipped or partial
- Mismatched keys between primary and comparison dataset — keyed comparison returns unmatched row warnings

## How this service works

Survey participation — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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) a secondary-measure weighted mean computed over the supplied rows for the selected field (respondents or invitations), and (2) a keyed dataset comparison between the primary and secondary datasets, both generated locally without external lookups. Results include statistical summaries per course group and date.

## 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}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "invitations": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "respondents": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "course_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "invitations": 1,
     "respondents": 10,
     "course_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "invitations": 2,
     "respondents": 20,
     "course_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "invitations": 3,
     "respondents": 15,
     "course_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "invitations": 4,
     "respondents": 30,
     "course_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "respondents",
    "invitations"
   ],
   "type": "string",
   "default": "respondents"
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "course_group",
     "date",
     "respondents",
     "invitations"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "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": "",
… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/survey-participation-weighted-mean-keyed-dataset-comparison-9e907538/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)