# Transaction Fee Observations — String Normalisation + Numeric Distribution

> Transaction Fee Observations — String Normalisation + Numeric Distribution is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Runs string normalisation and numeric distribution analysis on up to 200 rows of transaction fee observation records (fee_units, transaction_count), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-03-022?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/transaction-fee-observations-string-normalisation-numeric-distribution-b1167ec3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wF4enJM2j-jOQdlR7oWIZ

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-string-normalisation-numeric-distribution-b1167ec3 -d '<json body>'
```

Example prompt: Can you run string normalisation and numeric distribution analysis on these transaction fee records? I have up to 50 rows with fee_units and transaction_count fields, grouped by instrument_group, and I want both reports focused on the fee_units field.

## When to prefer this

Choose this endpoint when you need both string normalisation and numeric distribution analysis on transaction fee observation data in a single call, without requiring live data lookup, external enrichment, or predictive modelling. It is best suited for batch analytical preprocessing of up to 200 rows of fee records prior to reporting or further pipeline steps.

## Known failure modes

- Rows array empty or missing — validation error returned
- More than 200 rows submitted — request rejected with limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- fee_units or transaction_count values outside allowed range (±1,000,000,000,000) — rejected
- Invalid field enum value — schema error
- Missing required row fields (row_id, instrument_group, date) — validation failure

## How this service works

Transaction fee observations — String normalisation + Numeric distribution: String normalisation + Numeric distribution for supplied transaction fee observations records (fee_units, transaction_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

Two independent analytical reports: (1) a string normalisation report covering the instrument_group and text fields in the supplied rows, and (2) a numeric distribution report covering the selected numeric field (fee_units or transaction_count), summarising statistical distribution characteristics across up to 200 input rows.

## 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
  },
  "field": {
   "enum": [
    "fee_units",
    "transaction_count"
   ],
   "type": "string",
   "default": "fee_units"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transaction-fee-observations-string-normalisation-numeric-distribution-b1167ec3/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)