# Transaction Fee Observations — Record Quality Audit, String Normalisation & Exact Row Deduplication

> Transaction Fee Observations — Record Quality Audit, 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).

Runs three local analytical reports on up to 200 transaction fee observation rows: record quality audit, string normalisation, and exact row deduplication.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-03-191?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/transaction-fee-observations-record-quality-audit-string-e0a796bd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0n14vjX-0ZeTKvUC0GR7H

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 transaction-fee-observations-record-quality-audit-string-e0a796bd -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and exact deduplication check on these transaction fee records — I have rows with fields like instrument_group, date, fee_units, and transaction_count, about 50 rows total, and I want all three reports back.

## When to prefer this

Choose this endpoint when you need all three of: record quality auditing, string field normalisation, and exact duplicate detection on transaction fee observation data (fee_units, transaction_count) in a single API call at low cost ($0.01 USDC for up to 200 rows). It is ideal for batch pre-processing before loading into a data warehouse or reporting pipeline. Prefer it over general-purpose data quality tools when your data specifically contains instrument_group, fee_units, and transaction_count fields and you want bundled, local analytical reports with no external data calls.

## Known failure modes

- Submission of more than 200 rows will be rejected (maxItems constraint)
- Missing required fields (row_id, instrument_group, date, fee_units, transaction_count) will cause validation errors
- Invalid date format (non-YYYY-MM-DD) will fail pattern validation
- Numeric values outside ±1,000,000,000,000 will be rejected
- Empty rows array (minItems: 1) will be rejected

## How this service works

Transaction fee observations — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied transaction fee observations records (fee_units, transaction_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports for the submitted transaction fee observation rows: (1) a record quality audit flagging missing, null, or out-of-range values; (2) a string normalisation report standardising text fields such as instrument_group; (3) an exact row deduplication report identifying identical rows. All processing is performed locally with no external lookups or live data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transaction-fee-observations-record-quality-audit-string-e0a796bd/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)