# Expense Claims Numeric Interval Filter and IQR Outlier Flags

> Expense Claims Numeric Interval Filter and IQR Outlier Flags 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).

Filters expense claim rows by a numeric amount range and flags IQR-based outliers across claimed_amount and approved_amount fields for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-17-130?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/expense-claims-numeric-interval-filter-and-iqr-outlier-flags-5e8b607d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uSKSDhZTRt8FceXR2NPhF

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-claims-numeric-interval-filter-and-iqr-outlier-flags-5e8b607d -d '<json body>'
```

Example prompt: Can you analyze these 50 expense claim rows and flag any IQR outliers in the claimed_amount field, filtering to only rows where claimed_amount is between 0 and 5000? Here's the data: [row-1, group-a, 2024-03-01, 120, 100], [row-2, group-b, 2024-03-02, 9500, 200]…

## When to prefer this

Choose this endpoint when you have a batch of up to 200 expense claim rows and need both a numeric range filter and IQR-based outlier detection in a single low-cost call. It is purpose-built for expense data with claimed_amount and approved_amount fields, making it more directly applicable than generic statistical APIs. Prefer it when you want offline, deterministic analysis without live lookups or external data enrichment.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, claimed_amount, approved_amount, instrument_group) cause validation errors
- Date field not matching YYYY-MM-DD pattern results in schema rejection
- Minimum greater than maximum produces an empty interval filter result
- All null numeric values in the target field may produce undefined IQR results
- Payment of 0.01 USDC not included or not accepted causes 402 response

## How this service works

Expense claims — Numeric interval filter + IQR outlier flags: Numeric interval filter + IQR outlier flags for supplied expense claims records (claimed_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 for the supplied expense claim rows: (1) a numeric interval filter report listing which rows have the specified field value within the given minimum–maximum range, and (2) an IQR outlier flag report identifying which rows have values statistically outside the interquartile range. Both reports cover up to 200 input rows and operate entirely 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",
     "claimed_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
     },
     "claimed_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "approved_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",
     "claimed_amount": 10,
     "approved_amount": 1,
     "instrument_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "claimed_amount": 20,
     "approved_amount": 2,
     "instrument_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "claimed_amount": 15,
     "approved_amount": 3,
     "instrument_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "claimed_amount": 30,
     "approved_amount": 4,
     "instrument_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "claimed_amount",
    "approved_amount"
   ],
   "type": "string",
   "default": "claimed_amount"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/expense-claims-numeric-interval-filter-and-iqr-outlier-flags-5e8b607d/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)