# Transaction Fee Observations — String Normalisation + Equal-Width Histogram

> Transaction Fee Observations — String Normalisation + Equal-Width Histogram 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).

Runs string normalisation and equal-width histogram analysis on up to 200 transaction fee observation records (fee_units or transaction_count).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-03-031?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/transaction-fee-observations-string-normalisation-equal-width-histogram-2b360d24
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LXPIbyz_WkkxBvz3bwgDW

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-equal-width-histogram-2b360d24 -d '<json body>'
```

Example prompt: Can you run string normalisation and an equal-width histogram (10 bins) on these transaction fee observations for my fee_units field? Here are the records: row-1 on 2024-01-01 for group-a with fee_units=50 and transaction_count=100, row-2 on 2024-01-02 for group-b with fee_units=120 and transaction_count=200, row-3 on 2024-01-03 for group-a with fee_units=75 and transaction_count=150.

## When to prefer this

Choose this endpoint when you have up to 200 transaction fee observation records and need both string normalisation and an equal-width histogram in a single low-cost call. It is ideal for offline/batch analytical passes on fee_units or transaction_count data without needing live market data or external prediction services. Prefer it over general-purpose statistics APIs when you specifically want equal-width binning with string normalisation as a combined two-report package for finance datasets.

## Known failure modes

- More than 200 rows submitted — request rejected due to row limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- fee_units or transaction_count values outside ±1,000,000,000,000 range rejected
- bins parameter outside 1–30 range causes validation error
- Missing required fields (row_id, fee_units, transaction_count) cause row-level errors
- All values null for the selected field — histogram cannot be computed
- Payment of 0.01 USDC not provided — 402 Payment Required response

## How this service works

Transaction fee observations — String normalisation + Equal-width histogram: String normalisation + Equal-width histogram 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

Returns two analytical reports: (1) a string normalisation report for the selected field across all supplied rows, and (2) an equal-width histogram breaking the numeric values into the specified number of bins with frequency counts and bin boundaries. Both reports are generated locally from the supplied data with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "bins": {
   "type": "integer",
   "default": 5,
   "maximum": 30,
   "minimum": 1
  },
  "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-equal-width-histogram-2b360d24/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)