# Expense Processing — Numeric Row Ordering + Base-100 Series

> Expense Processing — Numeric Row Ordering + 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 numeric row ordering and base-100 index series analysis to up to 200 expense records (submitted_amount, approved_amount), returning two local analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-operations-07-117?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/expense-processing-numeric-row-ordering-base-100-series-6a7f59ec
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oXxL3v8NOdLThFt0YP8PT

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 expense-processing-numeric-row-ordering-base-100-series-6a7f59ec -d '<json body>'
```

Example prompt: Rank and base-100 index my expense rows by submitted_amount — here are 4 rows: row-1 (group-a, 2026-10-01, submitted 10, approved 1), row-2 (group-b, 2026-10-02, submitted 20, approved 2), row-3 (group-a, 2026-10-03, submitted 15, approved 3), row-4 (group-b, 2026-10-04, submitted 30, approved 4) — use base_index 0 and give me both the row ordering and the base-100 series reports.

## When to prefer this

Choose this endpoint when you need fast, local, deterministic numeric row ranking and base-100 index series computation on expense data (submitted_amount or approved_amount) without requiring any external data sources, predictions, or professional assessments. It is ideal for batch analytical reporting on up to 200 expense rows where you want two independent report types in a single low-cost call. Prefer alternatives if you need real-time lookups, ML predictions, schema validation/deduplication, or data beyond the expense submitted/approved amount domain.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, submitted_amount, approved_amount) — validation error
- Invalid date format (not YYYY-MM-DD) — schema pattern rejection
- base_index out of range (0-199) — parameter validation failure
- All submitted/approved values null — may produce degenerate or empty series output
- Payment not attached or insufficient USDC — x402 payment required error

## How this service works

Expense processing — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series for supplied expense processing records (submitted_amount, approved_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 per call: (1) a numeric row ordering of the supplied expense records ranked by the chosen field (submitted_amount or approved_amount), and (2) a base-100 index series showing each row's value relative to the base row — both computed locally with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "team_group",
     "date",
     "submitted_amount",
     "approved_amount"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "team_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "approved_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "submitted_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "team_group": "group-a",
     "approved_amount": 1,
     "submitted_amount": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "team_group": "group-b",
     "approved_amount": 2,
     "submitted_amount": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "team_group": "group-a",
     "approved_amount": 3,
     "submitted_amount": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "team_group": "group-b",
     "approved_amount": 4,
     "submitted_amount": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "submitted_amount",
    "approved_amount"
   ],
   "type": "string",
   "default": "submitted_amount"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/expense-processing-numeric-row-ordering-base-100-series-6a7f59ec/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)