# Local Event Calendars — String Normalisation & Missing-Value Fill

> Local Event Calendars — String Normalisation & 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 2026-10-23).

Normalises strings and fills missing values in local event calendar records (listed_events, updated_events) for up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-19-037?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/local-event-calendars-string-normalisation-missing-value-fill-f878b5e2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_98aWUjh4DIqdVHv_V3TTg

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 local-event-calendars-string-normalisation-missing-value-fill-f878b5e2 -d '<json body>'
```

Example prompt: Can you clean up my local event calendar data — normalise the strings and fill any missing listed_events values using median imputation? I have 4 rows: row-1 on 2026-10-01 group-a with 10 listed and 1 updated, row-2 on 2026-10-02 group-b with 20 listed and null updated, row-3 on 2026-10-03 group-a with null listed and 3 updated, row-4 on 2026-10-04 group-b with 30 listed and 4 updated.

## When to prefer this

Choose this endpoint when you have local event calendar tabular data (listed_events and updated_events columns) that needs string normalisation and/or missing-value imputation with no external data lookups. It is particularly suited for pre-import data cleaning pipelines where you want two simultaneous reports on both event count fields at very low cost ($0.01 for up to 200 rows). Prefer alternatives if you need live event data retrieval, prediction, or more than 200 rows per call.

## Known failure modes

- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — row fails schema validation
- Missing required fields (row_id) — row rejected
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minimum 1 item required
- Invalid method enum value (not zero/mean/median) — bad request
- Invalid field enum value (not listed_events/updated_events) — bad request

## How this service works

Local event calendars — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill for supplied local event calendars records (listed_events, updated_events). 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 independent analytical reports (one for listed_events, one for updated_events) covering string-normalised and missing-value-filled versions of the supplied event calendar rows, up to 200 rows total. No live data is fetched; all processing is local to the supplied records.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "channel_group",
     "date",
     "listed_events",
     "updated_events"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "channel_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "listed_events": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "updated_events": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "channel_group": "group-a",
     "listed_events": 10,
     "updated_events": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "channel_group": "group-b",
     "listed_events": 20,
     "updated_events": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "channel_group": "group-a",
     "listed_events": 15,
     "updated_events": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "channel_group": "group-b",
     "listed_events": 30,
     "updated_events": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "listed_events",
    "updated_events"
   ],
   "type": "string",
   "default": "listed_events"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/local-event-calendars-string-normalisation-missing-value-fill-f878b5e2/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)