# Payables Scheduling — String Normalisation + Numeric Distribution

> Payables Scheduling — String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Normalises string fields and computes numeric distribution statistics for payables scheduling records (due_amount, paid_amount) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-21-022?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/payables-scheduling-string-normalisation-numeric-distribution-f27409da
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_t5yefmJT76wQl7fG78bPJ

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 payables-scheduling-string-normalisation-numeric-distribution-f27409da -d '<json body>'
```

Example prompt: I have a set of payables scheduling records with due_amount and paid_amount fields — can you normalize the string fields and get me a numeric distribution report on due_amount for these rows: row-1 group-a 2026-10-01 due=10 paid=1, row-2 group-b 2026-10-02 due=20 paid=2, row-3 group-a 2026-10-03 due=15 paid=3?

## When to prefer this

Choose this endpoint when you need lightweight, local statistical analysis of payables scheduling data — specifically string normalisation of label fields and numeric distribution of financial amounts — without requiring external data lookups, predictions, or professional assessments. Ideal when you have up to 200 rows of due/paid amount records and want two reports bundled cheaply ($0.01 USDC). Not suitable for real-time payment processing, forecasting, or data involving more than 200 rows.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, instrument_group, date, due_amount, paid_amount) — validation error
- Invalid date format (non-YYYY-MM-DD) — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — validation error
- Empty rows array (minItems: 1 not met) — rejected
- Invalid field enum value (must be due_amount or paid_amount) — rejected

## How this service works

Payables scheduling — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied payables scheduling records (due_amount, paid_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 derived from the supplied payables scheduling rows: (1) a string normalisation report cleaning fields like instrument_group, and (2) a numeric distribution report for the selected field (due_amount or paid_amount), covering statistics such as min, max, mean, percentiles, and frequency distribution — all computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "instrument_group",
     "date",
     "due_amount",
     "paid_amount"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "due_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "paid_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "instrument_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "due_amount": 10,
     "paid_amount": 1,
     "instrument_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "due_amount": 20,
     "paid_amount": 2,
     "instrument_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "due_amount": 15,
     "paid_amount": 3,
     "instrument_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "due_amount": 30,
     "paid_amount": 4,
     "instrument_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "due_amount",
    "paid_amount"
   ],
   "type": "string",
   "default": "due_amount"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/payables-scheduling-string-normalisation-numeric-distribution-f27409da/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)