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NexusAPI Named Entity Recognition (NER)
x402
NexusAPI Named Entity Recognition (NER) is a paid API for AI agents from nexus-api-virid.vercel.app, paid per call via x402, $0.110144/call, status unknown (last checked 2026-09-14).
Performs Named Entity Recognition (NER) on a text query, identifying and classifying named entities such as people, organizations, locations, and dates.
Price / call$0.110144
Success—
StatusUnknown
How this service works
Crypto, AI, Social Media, Finance, Weather, Tools & more. Pay per call in USDC on Base. No API keys.
Output
A structured response identifying spans of text that are named entities, along with their classified types (e.g. PERSON, ORG, LOCATION, DATE, etc.) extracted from the input text.
Example use cases
Entity extraction from news articles
“Pull out all the named entities — people, organizations, and locations — from this news snippet: 'Amazon founder Jeff Bezos visited the White House in Washington D.C. last Monday.'”
CRM enrichment from customer messages
“I have this customer email: 'Hi, I'm John Smith from Acme Corp in Chicago, reaching out about your enterprise plan.' Can you identify all the named entities in it so I can auto-populate our CRM fields?”
Legal document entity tagging
“Identify and label all named entities in this legal clause: 'On March 5, 2024, Google LLC entered into an agreement with Microsoft Corporation, governed by the laws of the State of California.'”
Technical details
Endpoint
POSThttps://nexus-api-virid.vercel.app/api/ai/nerWhen to prefer
Choose this endpoint when you need a pay-per-call, no-API-key NER service that accepts raw text and returns structured entity labels. Ideal for agents that need lightweight entity extraction without managing credentials or subscriptions. Use it when you need to identify people, organizations, locations, or dates in arbitrary text as part of a larger workflow.
Side effects
- Empty or missing query field returns an error or empty entity list
- Very long text inputs may be truncated or cause timeouts
- Ambiguous entity types may be misclassified (e.g. a person name matching a place name)
- Non-English text may return poor or no results if the model is English-only
- Payment failure via x402 protocol results in 402 response and no entity data returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | Search query or input parameter |
Output
Schema · Response
{
"type": "object",
"description": "API response data"
}Tags
x402
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