# Customer Segment Observations — Category Frequencies + Base-100 Series

> Customer Segment Observations — Category Frequencies + 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 2026-10-20).

Computes category frequency distributions and a base-100 indexed time series for customer segment observation data (account_count or revenue_amount) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-105?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-base-100-series-f332bec2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BFkRLIoz87DGXbhwaeIyl

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-base-100-series-f332bec2 -d '<json body>'
```

Example prompt: Analyze my customer segment data for account_count: here are 4 rows — row-1 on 2026-10-01 group-a had 10 accounts, row-2 on 2026-10-02 group-b had 20, row-3 on 2026-10-03 group-a had 15, row-4 on 2026-10-04 group-b had 30 — give me the category frequencies and a base-100 series using row-1 as the base index.

## When to prefer this

Choose this endpoint when you have up to 200 rows of customer segment observation records and need both a category frequency breakdown by company group and a base-100 indexed numeric series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical tasks on supplied data where no live lookup, external data enrichment, or prediction is needed — just local statistical computation on your own records.

## Known failure modes

- Missing required fields (row_id, company_group, date, account_count, revenue_amount) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit and returns an error
- base_index value pointing to a non-existent row index causes computation failure
- Null values in the selected numeric field may produce incomplete series output
- Payment failure or insufficient USDC balance prevents processing

## How this service works

Customer segment observations — Category frequencies + Base-100 series: Category frequencies + Base-100 series 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

Returns two analytical reports: (1) a category frequency table showing how often each company_group appears in the dataset, and (2) a base-100 index series for the chosen numeric field (account_count or revenue_amount) relative to the specified base row, enabling proportional trend comparison across customer segments.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/customer-segment-observations-category-frequencies-base-100-series-f332bec2/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)