# Payables Scheduling — String Normalisation + Exact Row Deduplication

> Payables Scheduling — String Normalisation + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Normalises strings and deduplicates exact rows in payables scheduling records (due_amount, paid_amount), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-21-020?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/payables-scheduling-string-normalisation-exact-row-deduplication-5429728d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Vq9K147e-yruYs68npj6w

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-exact-row-deduplication-5429728d -d '<json body>'
```

Example prompt: Can you clean up my payables scheduling data by normalizing all the string fields and removing any exact duplicate rows? I have up to 50 records with columns for row_id, instrument_group, date, due_amount, and paid_amount — I need both a string normalisation report and a deduplication report back.

## When to prefer this

Choose this endpoint when you need lightweight, offline data quality processing for payables scheduling records specifically — no external lookup, live data, or prediction needed. It is ideal when you have up to 200 rows of due_amount/paid_amount payables data and want two simultaneous analytical reports (string normalisation + deduplication) in a single low-cost call ($0.01 USDC). Prefer this over general ETL or database tools when operating in an agentic pipeline that needs a simple, self-contained payables cleaning step.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, instrument_group, date, due_amount, paid_amount) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric amounts outside the allowed range (±1,000,000,000,000) are rejected
- Empty rows array (minItems: 1 not met) causes schema rejection

## How this service works

Payables scheduling — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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: (1) a string normalisation report showing standardised string fields across payables records, and (2) an exact row deduplication report identifying and removing duplicate rows — both derived from the supplied rows of up to 200 payables scheduling records containing row_id, instrument_group, date, due_amount, and paid_amount.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/payables-scheduling-string-normalisation-exact-row-deduplication-5429728d/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)