# Settlement Timing Data Cleaner — String Normalisation & Exact Row Deduplication

> Settlement Timing Data Cleaner — 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 2026-10-24).

Normalises strings and deduplicates exact rows in settlement timing records (settlement_minutes, payment_count) for up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-18-020?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/settlement-timing-data-cleaner-string-normalisation-exact-row-8feb4d63
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_76UTcHhSd_jSMxbqTZj2M

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 settlement-timing-data-cleaner-string-normalisation-exact-row-8feb4d63 -d '<json body>'
```

Example prompt: Can you clean my settlement timing records by normalising the instrument group strings and removing exact duplicate rows? I have 4 rows: row-1 for group-a on 2026-10-01 with 10 settlement minutes and 1 payment, row-2 for group-b on 2026-10-02 with 20 minutes and 2 payments, row-3 for group-a on 2026-10-03 with 15 minutes and 3 payments, and row-4 for group-b on 2026-10-04 with 30 minutes and 4 payments.

## When to prefer this

Choose this endpoint when you need lightweight, local string normalisation and exact-match deduplication on settlement timing data (settlement_minutes, payment_count) without any live data lookup, prediction, or external action. Best suited for pre-processing batches of up to 200 settlement records before ingestion into a data warehouse or reconciliation pipeline. At $0.01 USDC for 2 reports, it is cost-effective for routine data hygiene tasks on financial settlement datasets.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, instrument_group, date, settlement_minutes, payment_count) — validation error
- Malformed date format (not YYYY-MM-DD) — schema validation failure
- Numeric values out of allowed range — rejected
- Empty rows array — error returned
- Payment not processed — no reports generated

## How this service works

Settlement timing — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied settlement timing records (settlement_minutes, payment_count). 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 2 analytical reports covering: (1) string normalisation results showing standardised instrument_group values and other string fields, and (2) exact row deduplication results identifying and removing fully duplicate records from the supplied dataset of up to 200 settlement timing rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/settlement-timing-data-cleaner-string-normalisation-exact-row-8feb4d63/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)