# Customer Segment Observations — Category Frequencies + Equal-Width Histogram

> Customer Segment Observations — Category Frequencies + Equal-Width Histogram is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Generates two local analytical reports — category frequency counts and an equal-width histogram — for customer segment observation data (account_count, revenue_amount) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-106?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/customer-segment-observations-category-frequencies-equal-width-acb8d8d4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ScnzweScE7c1VzM5JF_wZ

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-equal-width-acb8d8d4 -d '<json body>'
```

Example prompt: Analyze my customer segment data — I have 150 rows with account_count and revenue_amount fields across groups like 'enterprise' and 'SMB'. Give me category frequencies for company_group and an equal-width histogram of revenue_amount using 10 bins.

## When to prefer this

Choose this endpoint when you need two complementary statistical views — frequency counts by category and a numeric histogram — on a single batch of customer segment records without any external data enrichment or prediction. Ideal for quick distributional sanity checks, segment reporting, or exploratory data analysis on datasets up to 200 rows. Prefer this over more complex endpoints when you only need local computation and have both categorical (company_group) and numeric (account_count or revenue_amount) fields to analyze simultaneously.

## Known failure modes

- Rows array is empty or missing — validation error returned
- More than 200 rows supplied — request rejected with max-items error
- Invalid date format (not YYYY-MM-DD) in any row — schema validation failure
- bins value outside 1–30 range — rejected with min/max constraint error
- field value not one of 'account_count' or 'revenue_amount' — enum validation error
- Null values in numeric fields may affect histogram boundaries or bin counts
- Payment of 0.01 USDC not included or rejected — x402 payment required error

## How this service works

Customer segment observations — Category frequencies + Equal-width histogram: Category frequencies + Equal-width histogram 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) category frequency counts showing how often each company_group appears in the dataset, and (2) an equal-width histogram for the chosen numeric field (account_count or revenue_amount) with the specified number of bins, including bin boundaries and record counts per bin. All computation is performed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-acb8d8d4/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)