# Survey Participation Base-100 Series + Missing-Value Fill

> Survey Participation Base-100 Series + 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 2026-10-30).

Computes a base-100 indexed time series and fills missing values for survey participation data (respondents and/or invitations) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-education-10-169?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-base-100-series-missing-value-fill-5412acb1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_o-xUfO-Q2or67VjXkp_b3

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-base-100-series-missing-value-fill-5412acb1 -d '<json body>'
```

Example prompt: I have 4 rows of survey participation data for two course groups — row-1 through row-4 from 2026-10-01 to 2026-10-04, with respondents like 10, null, 15, 30 and invitations 1, 2, 3, 4 — can you build a base-100 index on the respondents field starting from row index 0 and fill any missing values using the median?

## When to prefer this

Choose this endpoint when you have raw survey participation tabular data (respondents and invitations by course group and date) and need both a normalized base-100 time series and missing-value imputation in a single low-cost call. It is ideal for offline/batch analytical preparation of education survey exports before visualization or reporting, when no live data lookup or prediction is needed and the dataset fits within 200 rows.

## Known failure modes

- Fewer than 1 row supplied — rejected by minItems constraint
- More than 200 rows supplied — rejected by maxItems constraint
- Missing required fields (row_id, course_group, date, respondents, invitations) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- base_index value exceeds number of supplied rows
- Field or method enum value not in allowed set
- All values for the target field are null, making mean/median imputation undefined

## How this service works

Survey participation — Base-100 series + Explicit missing-value fill: Base-100 series + 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) a base-100 indexed series for the chosen field (respondents or invitations), rebased to 100 at the specified row index; (2) a dataset with missing values in the chosen field explicitly filled using the selected method (zero, mean, or median). Both reports are computed locally on the up-to-200 supplied rows with no external data 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/survey-participation-base-100-series-missing-value-fill-5412acb1/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)