# Local Event Calendars — String Normalisation + Adjacent Row Changes

> Local Event Calendars — String Normalisation + Adjacent Row Changes 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).

Runs string normalisation and adjacent-row change analysis on up to 200 rows of local event calendar data (listed_events, updated_events) across two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-19-029?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/local-event-calendars-string-normalisation-adjacent-row-changes-b17735d7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_YFFx-xUPX3PhHttKlODsF

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-adjacent-row-changes-b17735d7 -d '<json body>'
```

Example prompt: Can you run string normalisation and adjacent row change detection on my local event calendar data? I have 4 rows — row-1 on 2026-10-01 for group-a with listed_events=10 and updated_events=1, row-2 on 2026-10-02 for group-b with listed_events=20 and updated_events=2, and so on — analyse the listed_events field.

## When to prefer this

Choose this endpoint when you have local event calendar tabular data and need two specific analytical passes — string normalisation and adjacent row change detection — in a single low-cost call. It is best suited for offline or batch-style data quality and change analysis on up to 200 rows of event records, without needing live data lookups, predictions, or external integrations.

## Known failure modes

- More than 200 rows submitted — request rejected with maxItems violation
- Missing required fields (row_id, date, channel_group, listed_events, updated_events) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Empty rows array — minItems violation
- Invalid field enum value (must be listed_events or updated_events) — schema error
- Payment not completed — x402 payment required response

## How this service works

Local event calendars — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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 analytical reports: (1) a string normalisation report identifying and standardising inconsistent string values across the supplied records, and (2) an adjacent row changes report detecting value shifts between consecutive rows for the selected field (listed_events or updated_events). Both reports operate on up to 200 supplied rows using local analytical engines with no external lookups.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/local-event-calendars-string-normalisation-adjacent-row-changes-b17735d7/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)