# Payables Scheduling — Record Quality Audit + Numeric Row Ordering

> Payables Scheduling — Record Quality Audit + Numeric Row Ordering 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).

Audits data quality and orders rows numerically for payables scheduling records containing due_amount and paid_amount fields, returning two independent analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-21-007?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-record-quality-audit-numeric-row-ordering-5d34b875
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VjVEGAW9eyXv5DnzGjelJ

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-record-quality-audit-numeric-row-ordering-5d34b875 -d '<json body>'
```

Example prompt: Can you run a record quality audit and numeric row ordering on my payables scheduling data? Here are my rows with due_amount and paid_amount — sort them by due_amount and flag any quality issues across up to 200 records.

## When to prefer this

Choose this endpoint when you need both a data quality audit and numeric ordering of payables scheduling records in a single call at low cost ($0.01 USDC for both reports). It is well-suited for finance teams validating AP data before reconciliation or reporting, especially when working with batches up to 200 rows. Prefer this over general-purpose analytics when your data specifically contains due_amount and paid_amount fields in a payables scheduling context.

## Known failure modes

- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, instrument_group, date, due_amount, or paid_amount) causes validation error
- Invalid date format (not YYYY-MM-DD) rejected by pattern validation
- Numeric amount values outside ±1,000,000,000,000 range rejected
- Empty rows array (minItems: 1 not satisfied)
- Invalid field enum value (must be 'due_amount' or 'paid_amount')

## How this service works

Payables scheduling — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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 independent analytical reports: (1) a record quality audit identifying missing, null, or invalid values in the supplied payables scheduling rows, and (2) a numeric row ordering ranking records by the selected amount field (due_amount or paid_amount). Both reports are computed locally on the supplied data 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-record-quality-audit-numeric-row-ordering-5d34b875/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)