# Customer Segment Observations — Category Frequencies + Secondary-Measure Weighted Mean

> Customer Segment Observations — Category Frequencies + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).

Computes category frequencies and a secondary-measure weighted mean (account_count or revenue_amount) for up to 200 customer segment observation rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-109?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-20
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/customer-segment-observations-category-frequencies-secondary-measure-6912aed7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xk9o4BNA-TARm5KFABqmX

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 customer-segment-observations-category-frequencies-secondary-measure-6912aed7 -d '<json body>'
```

Example prompt: I have 4 customer segment observation rows — group-a on 2026-10-01 with account_count 10 and revenue_amount 1, group-b on 2026-10-02 with account_count 20 and revenue_amount 2, group-a on 2026-10-03 with account_count 15 and revenue_amount 3, and group-b on 2026-10-04 with account_count 30 and revenue_amount 4 — can you give me the category frequencies by company_group and the revenue_amount weighted mean across those rows?

## When to prefer this

Choose this endpoint when you have tabular customer segment data (up to 200 rows) and need both a category frequency distribution and a secondary-measure weighted mean in a single $0.01 call, without requiring live data lookup, external prediction, or professional assessment. It is ideal for lightweight, offline analytical summaries of business segment records where both account volume and revenue metrics are present.

## Known failure modes

- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Missing required fields (row_id, company_group, date, account_count, revenue_amount) — schema error
- Invalid field enum value (not account_count or revenue_amount) — enum validation error
- Numeric values outside allowed range (±1,000,000,000,000) — validation failure
- Payment not provided or insufficient USDC — x402 payment required response

## How this service works

Customer segment observations — Category frequencies + Secondary-measure weighted mean: Category frequencies + Secondary-measure weighted mean for supplied customer segment observations records (account_count, revenue_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

Two independent analytical reports: (1) frequency counts of each category (company_group) across all supplied rows, and (2) a weighted mean of the selected secondary measure (account_count or revenue_amount) computed locally without any external lookup or prediction.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/customer-segment-observations-category-frequencies-secondary-measure-6912aed7/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)