# Local Event Calendars — Trailing Mean Series & Adjacent Row Changes

> Local Event Calendars — Trailing Mean Series & 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 2026-10-23).

Computes trailing mean time series and adjacent row changes for local event calendar metrics (listed_events, updated_events) across up to 200 supplied rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-19-146?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-trailing-mean-series-adjacent-row-changes-7bb362a6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_1K9kYtKmc_rJxnA-OpX8-

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-trailing-mean-series-adjacent-row-changes-7bb362a6 -d '<json body>'
```

Example prompt: Can you compute a trailing mean series and adjacent row changes for my local event calendar data — I have 120 rows with listed_events and updated_events fields, dates from 2026-10-01, grouped by channel, using a rolling window of 7? I want both reports for the listed_events field.

## When to prefer this

Choose this endpoint when you have pre-collected local event calendar time-series data and need offline statistical summaries — specifically trailing moving averages and adjacent row deltas — without requiring live data lookup, external enrichment, or prediction. It is best suited for batch analytical workflows on small-to-medium datasets (up to 200 rows) where cost efficiency ($0.01 for two reports) matters and the two specific report types (trailing mean + row changes) are the desired output.

## Known failure modes

- More than 200 rows submitted — request rejected with max items exceeded error
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Window size larger than number of rows leads to insufficient data for computation
- Null or missing required fields (row_id, date) cause row rejection
- Invalid field enum value other than 'listed_events' or 'updated_events' causes parameter error

## How this service works

Local event calendars — Trailing mean series + Adjacent row changes: Trailing mean series + 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 trailing mean series showing the rolling average of the selected field (listed_events or updated_events) over the specified window, and (2) adjacent row changes showing the delta between consecutive rows — both computed against the supplied dataset of up to 200 rows, segmented by channel_group and date.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/local-event-calendars-trailing-mean-series-adjacent-row-changes-7bb362a6/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)