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Netzhandwerker Currency Normalize
x402
Netzhandwerker Currency Normalize is a paid API for AI agents from tools.netzhandwerker.de, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-13).
Detects and normalizes currency amounts from free-form text, returning structured findings with amounts, currencies, multipliers, and minor units — without converting between currencies.
Price / call$0.001
Success—
StatusUnknown
How this service works
x402-Werkzeuge für autonome Agenten.
Output
Returns a JSON object with a list of findings (each with start/end position, raw string, parsed amount, currency code, minor units, multiplier, ambiguity flag, and currency source), plus a deduplicated list of detected currencies, total amounts grouped by currency, a mixed-currencies boolean, and a count of findings. Does not perform currency conversion.
Example use cases
Parse invoice text for accounting
“Pull out all the monetary amounts from this invoice text and give me structured data — amounts, currencies, and totals per currency. Treat any amount without a currency symbol as EUR: 'Subtotal: 850,00, VAT: 161,50 EUR, Total: 1.011,50 EUR, Wire fee: $12.50.'”
Detect mixed currencies in a contract
“I have a contract excerpt that mixes euros and dollars — can you scan it and tell me which currencies appear, whether they're mixed, and what the total per currency is? Here's the text: 'Buyer agrees to pay €45.000 upfront and USD 10,000 upon delivery, plus a USDC 0.5 processing fee.'”
Normalize financial figures from a news snippet
“Extract all currency mentions from this news blurb and normalize them into structured findings — I need the raw string, parsed amount, currency code, and minor units for each one. Default to USD for any ambiguous amounts: 'The startup raised $3.2 Mio in seed funding and plans to expand into Europe with a €500k marketing budget.'”
Technical details
Endpoint
POSThttps://tools.netzhandwerker.de/v1/currency/normalizeWhen to prefer
Choose this endpoint when you need to extract and normalize currency mentions from unstructured text without converting them — ideal for parsing invoices, contracts, news articles, or financial documents that contain amounts in various formats (European notation, multiplier words like Mio/Mrd, prefix/suffix currency symbols). Prefer this over a general NLP service when you need structured financial output including minor units, multipliers, and per-currency totals. Not suitable if you need actual currency conversion or exchange rates.
Side effects
- Text too long — input exceeds 20,000 character limit, request rejected
- No currency amounts detected — findings array is empty
- Ambiguous amounts without a default_currency set may be flagged as ambiguous:true
- Malformed or missing text field returns a validation error
- Payment failure via x402 protocol results in 402 response before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | |
| default_currency | string | Waehrung fuer Betraege ohne Angabe |
Output
Schema · Response
{
"type": "json",
"example": {
"note": "Erkennung und Normalisierung, keine Umrechnung.",
"findings": [
{
"end": 34,
"raw": "1.234,50 EUR",
"start": 22,
"amount": 1234.5,
"currency": "EUR",
"decimals": 2,
"ambiguous": false,
"multiplier": 1,
"minor_units": 123450,
"amount_string": "1234.50",
"currency_source": "suffix",
"multiplier_word": null
},
{
"end": 63,
"raw": "$2.5 Mio",
"start": 55,
"amount": 2500000,
"currency": "USD",
"decimals": 2,
"ambiguous": false,
"multiplier": 1000000,
"minor_units": 250000000,
"amount_string": "2500000.00",
"currency_source": "prefix",
"multiplier_word": "mio"
}
],
"currencies": [
"EUR",
"USD",
"USDC"
],
"findings_count": 3,
"mixed_currencies": true,
"total_by_currency": {
"EUR": 1234.5,
"USD": 2500000,
"USDC": 0.004
}
}
}Tags
x402
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