# Customer Segment Observations — String Normalisation + Base-100 Series

> Customer Segment Observations — String Normalisation + 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 2026-10-25).

Applies string normalisation and base-100 indexing to customer segment time-series data (account_count or revenue_amount) across company groups, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-16-030?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/customer-segment-observations-string-normalisation-base-100-series-c43bcbe3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jYSYtOzCo9ML5DLKAx0sG

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-string-normalisation-base-100-series-c43bcbe3 -d '<json body>'
```

Example prompt: Take my customer segment data — four rows with company groups 'enterprise' and 'smb', dates from 2025-01-01 to 2025-01-04, and account_count values — normalise the strings and produce a base-100 index series starting from row index 0.

## When to prefer this

Choose this endpoint when you need to both normalise string representations of numeric customer segment metrics and produce a base-100 index series in a single call at minimal cost ($0.01 USDC for two reports). It is best suited for offline/batch analytical workflows on supplied data up to 200 rows where no live data lookup, forecasting, or external enrichment is required. Prefer alternatives if you need IQR outlier detection, correlation analysis, pivot tables, or trailing means — those are separate sibling endpoints on the same platform.

## Known failure modes

- Rows array empty or missing: validation error returned
- More than 200 rows submitted: rejected with max-items error
- Invalid date format (not YYYY-MM-DD): schema validation failure
- base_index out of range (>= number of rows): error or undefined base period
- field value not in enum ['account_count','revenue_amount']: rejected
- All values null for selected field: may produce degenerate or empty series
- Payment not included or insufficient: 402 Payment Required

## How this service works

Customer segment observations — String normalisation + Base-100 series: String normalisation + 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

Two analytical reports: (1) a string-normalised version of the selected numeric field (account_count or revenue_amount) across the supplied rows, and (2) a base-100 indexed time series anchored at the specified base_index row — both computed locally without external lookups or predictions, covering up to 200 input rows.

## 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-string-normalisation-base-100-series-c43bcbe3/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)