# Customer Segment Observations — Base-100 Series + Two-Measure Correlation

> Customer Segment Observations — Base-100 Series + Two-Measure Correlation 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).

Generates a Base-100 indexed time series report and a two-measure correlation analysis for customer segment observations (account_count and revenue_amount) from user-supplied row data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-165?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-base-100-series-two-measure-correlation-80f81f1d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ZBt17tsU1RUmRdcCej3pB

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-base-100-series-two-measure-correlation-80f81f1d -d '<json body>'
```

Example prompt: Take my customer segment data — groups 'enterprise' and 'smb', with dates from 2025-01-01 to 2025-06-30, account_count and revenue_amount per row — and give me a Base-100 indexed series starting from row index 0 on account_count, plus a correlation report between account_count and revenue_amount for up to 200 rows.

## When to prefer this

Choose this endpoint when you have customer segment observation data (with account counts and revenue figures) and need both a normalized Base-100 trend series and a correlation analysis between two measures in a single low-cost call ($0.01 USDC). It is best suited for offline/batch analytical use cases on already-collected tabular data rather than live lookups, predictions, or external data enrichment. Prefer it over general analytics APIs when your dataset fits within 200 rows and you want two bundled reports without per-report pricing.

## Known failure modes

- More than 200 rows supplied — request rejected or truncated
- Missing required row fields (row_id, date, account_count, revenue_amount, company_group) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema error
- base_index out of range for the number of rows provided — index error
- All values null for selected field — correlation or indexing cannot be computed
- Malformed JSON input — parse error

## How this service works

Customer segment observations — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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 Base-100 indexed series for the selected field (account_count or revenue_amount), showing each row's value normalized relative to the chosen base index row; and (2) a two-measure correlation report quantifying the relationship between account_count and revenue_amount across the supplied rows. Both reports are computed locally using the provided data (up to 200 rows) 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"
  },
  "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-base-100-series-two-measure-correlation-80f81f1d/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)