Mistral-Powered Named Entity Extractor (NER) is a paid API for AI agents from x402-deployer.x402-deployer.workers.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-14).
Extracts named entities (people, organizations, locations, dates, emails, URLs, phone numbers, monetary amounts) from text using Mistral LLM
Named entity extractor / NER. People, organizations, locations, dates, emails, URLs, phone numbers, monetary amounts. Mistral-powered.
A structured list of named entities grouped by type (PERSON, ORG, LOCATION, DATE, EMAIL, URL, PHONE, MONEY), each with the extracted value and likely its span or position in the source text.
POSThttps://x402-deployer.x402-deployer.workers.dev/extractUse this endpoint when you need to extract multiple entity types (people, orgs, locations, dates, emails, URLs, phones, money) from freeform text in one call, particularly when you want Mistral LLM quality over simpler regex or rule-based approaches. Prefer this over generic LLM calls when you want structured, typed entity output without prompt engineering.
{
"input": {
"body": {
"text": "On March 5, 2024, CEO Jane Smith of Acme Corp signed a $2.5M deal with Global Industries Ltd. Reach her at jane.smith@acme.com or +1-555-234-5678. Visit https://www.acme.com for more information."
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"model": "hermes-3-llama-3.1-405b",
"source": "morpheus",
"entities": {
"urls": [
"https://www.acme.com"
],
"dates": [
"March 5, 2024"
],
"emails": [
"jane.smith@acme.com"
],
"people": [
"Jane Smith"
],
"amounts": [
{
"value": 2500000,
"mention": "$2.5M",
"currency": "USD"
}
],
"locations": [],
"organizations": [
"Acme Corp",
"Global Industries Ltd"
],
"phone_numbers": [
"+1-555-234-5678"
]
},
"input_chars": 195,
"total_entities": 8
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