# Trade Observations — Numeric Distribution + Trailing Mean Series

> Trade Observations — Numeric Distribution + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Computes a numeric distribution analysis and a trailing mean time series for export_amount or import_amount fields across up to 200 trade observation rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-06-076?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/trade-observations-numeric-distribution-trailing-mean-series-61e2d24c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0ht-DP-2lifxwXe2n_oSr

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 trade-observations-numeric-distribution-trailing-mean-series-61e2d24c -d '<json body>'
```

Example prompt: Can you run a numeric distribution and trailing mean series analysis on my trade data — I have 200 rows with export_amount and import_amount by region and date, and I want to analyze export_amount with a trailing window of 5?

## When to prefer this

Choose this endpoint when you have up to 200 trade observation records with export_amount and/or import_amount fields and need both a statistical distribution profile and a trailing rolling mean series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch statistical analysis of supplied data without any live market lookups, predictions, or external data enrichment.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — validation error
- Missing required fields (row_id, region, date, export_amount, import_amount) in any row — schema error
- Window size less than 2 or greater than 200 — validation error
- Date field not matching YYYY-MM-DD pattern — format error
- Numeric values outside the allowed range (±1,000,000,000,000) — range error
- Invalid field enum value (not export_amount or import_amount) — validation error

## How this service works

Trade observations — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series for supplied trade observations records (export_amount, import_amount). 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 selected field (export_amount or import_amount): (1) a numeric distribution summary showing the statistical spread of values across the supplied rows, and (2) a trailing mean series showing rolling averages computed over the specified window size. Both reports are computed locally on the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/trade-observations-numeric-distribution-trailing-mean-series-61e2d24c/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)