# Onvexia NLP Entities Endpoint

> Onvexia NLP Entities Endpoint is a paid API for AI agents from onvexia.com, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-17).

Extracts and returns named entities (e.g. people, organizations, projects, events) identified by NLP analysis from the corpus of blockchain research documents associated with a specific crypto asset

## Facts

- Endpoint: GET https://onvexia.com/v1/nlp/entities/%7Basset%7D
- Price: $0.003/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/onvexia-nlp-entities-endpoint-659597e7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_QhFDifl4zOcY-Vs2KQwmR

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 onvexia-nlp-entities-endpoint-659597e7
```

Example prompt: Pull the named entities — people, orgs, projects, and events — that Onvexia's NLP has identified across its research document corpus for ETH, so I can see who and what is most associated with Ethereum in blockchain analytics coverage.

## When to prefer this

Choose this endpoint when you need NLP-derived named entity extraction specifically from a large corpus of blockchain research and analytics documents (500k+), spanning ten chains and dating back to 2008, for a specific crypto asset — rather than general web NLP or on-chain data providers that lack document-level entity analysis.

## Known failure modes

- Unknown or unsupported asset identifier returns empty data array
- Malformed asset parameter may return a 400 or empty result
- Payment not completed (402) blocks access to results
- Rate limiting or quota exceeded returns error response
- Endpoint may return sparse results for low-coverage or newly listed assets

## How this service works

Thousands of assets across ten chains, half a million analysed documents, labelled addresses and supply-age history reaching back to 2008 — fused into one reading per asset. REST, SQL, GraphQL and MCP.

## Output

A JSON array of named entities extracted by NLP from Onvexia's corpus of blockchain research documents for the requested asset, including entity labels, types, and associated metadata. The response includes a data array and a meta object pointing to the full OpenAPI spec.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "properties": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "data": [],
  "meta": {
   "docs": "https://onvexia.com/openapi.json",
   "endpoint": "/v1/nlp/entities/{asset}"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/onvexia-nlp-entities-endpoint-659597e7/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from onvexia.com](https://www.zero.xyz/host/onvexia.com/llms.txt)