Skip to content

NetIntel · netintel.dev

Extract named entities from text

Extract named entities from text using Claude Haiku, people, organizations, locations, dates, emails, URLs, money amounts, and products, returned as structured typed arrays so agents can pull structured signals out of unstructured text in one call.

Ready now5 calls · 4 buyers in 30 days

Input

The text to extract named entities from — an article, email, document, or any unstructured text. Max 10000 words or 50KB.
Types
Optional subset of entity types to extract: person, organization, location, date, email, url, money, product, phone. Defaults to all types.

Sample response

Published by the provider. Your run returns a fresh response.

response6 keys
entities9 keys
findings0 items
grade"A"
score100
total_entities9
types_extracted9 items
0"person"
1"organization"
2"location"
3"date"
4"email"
5"url"
6"money"
7"product"
8"phone"
responseobject, 6 keys
Your agent can do this on its own
Add the MCP URL in Claude Code, Cursor or Codex. Your agent can run Tools within its spending limits, or ask for approval each time. Connect your agent

Connect your agent

Add one MCP URL and your agent can find and run this tool within its spending limits. Choose “Ask each time” if you want to approve every Call.

MCP URL

https://app.aecon.ai/mcp
Terminalbash
claude mcp add --transport http --scope user agentic-economy "https://app.aecon.ai/mcp"

In Claude Code, open /mcp, select agentic-economy, then choose Authenticate.

Track record

Paid calls, last 30 days
5
Buyers, last 30 days
4
Last paid call

Reported by the x402 directory.

A$0.072 per call