# Customer Segment Observations — Grouped Numeric Summary + Numeric Interval Filter

> Customer Segment Observations — Grouped Numeric Summary + Numeric Interval Filter 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).

Analyzes customer segment observation records by computing a grouped numeric summary and applying a numeric interval filter on account_count or revenue_amount fields, returning up to 2 reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-088?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-grouped-numeric-summary-numeric-5b931f56
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rQbZ7cmDnABx6xBrzfDaN

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-grouped-numeric-summary-numeric-5b931f56 -d '<json body>'
```

Example prompt: I have up to 200 rows of customer segment observations with account_count and revenue_amount by company group and date — can you run a grouped numeric summary and also filter to only rows where account_count is between 0 and 100, grouping by company_group?

## When to prefer this

Choose this endpoint when you have up to 200 customer segment observation records and need both a grouped numeric summary by company group AND a numeric interval filter in a single $0.01 call. It is ideal for lightweight, on-demand segment analytics without standing up your own analytics infrastructure, and when you need two complementary views (grouped aggregation + range filter) on account_count or revenue_amount simultaneously.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, company_group, date, account_count, revenue_amount) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- minimum greater than maximum — may return empty interval filter
- Payment not included or insufficient USDC — 402 response, no report returned
- All numeric fields null — summary may return empty or null statistics

## How this service works

Customer segment observations — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + Numeric interval filter 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 2 analytical reports: (1) a grouped numeric summary (e.g. mean, min, max, count) of the selected field (account_count or revenue_amount) aggregated by company_group, and (2) a filtered subset of rows where the selected field falls within the specified minimum-maximum interval. Results cover up to 200 input rows processed by local analytical engines with no external lookups.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/customer-segment-observations-grouped-numeric-summary-numeric-5b931f56/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)