# Local Event Calendars — Numeric Distribution + Base-100 Series

> Local Event Calendars — Numeric Distribution + Base-100 Series 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 numeric distribution statistics and a base-100 indexed series for up to 200 rows of local event calendar data (listed_events and updated_events fields).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-news-19-078?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-numeric-distribution-base-100-series-f10176de
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap__dCaDyLQPMBho7cb549hF

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-numeric-distribution-base-100-series-f10176de -d '<json body>'
```

Example prompt: Can you run a numeric distribution and base-100 series analysis on my local event calendar data? I have 4 rows with dates from 2026-10-01 to 2026-10-04, channel groups group-a and group-b, listed_events values of 10, 20, 15, and 30, and I want to analyze the listed_events field using row index 0 as the base.

## When to prefer this

Choose this endpoint when you have local event calendar data (listed_events, updated_events) in row format and need both a numeric distribution and a base-100 indexed time series computed from your own supplied data — not live data. Ideal for batch statistical analysis of up to 200 rows at low cost ($0.01 per call for two reports). Prefer this over general analytics tools when you specifically need the paired distribution + base-indexed series output on event calendar metrics organized by channel group and date.

## Known failure modes

- Fewer than 1 row supplied — minItems:1 violation returns validation error
- More than 200 rows supplied — maxItems:200 exceeded returns validation error
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index out of range (0–199) returns validation error
- Null values in listed_events or updated_events may affect distribution computation
- Missing required fields (row_id, channel_group, date) cause request rejection

## How this service works

Local event calendars — Numeric distribution + Base-100 series: Numeric distribution + Base-100 series 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

Returns two analytical reports for the supplied event calendar rows: (1) a numeric distribution report showing the frequency/spread of values across the chosen field (listed_events or updated_events), and (2) a base-100 indexed series anchored at the specified base_index row, allowing relative trend comparison across up to 200 rows. Both reports are computed locally from the supplied data 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/local-event-calendars-numeric-distribution-base-100-series-f10176de/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)