Entity Extraction API

Extract structured named entities from unstructured text using Claude AI via REST API. Returns people, organizations, dates, monetary amounts, locations, and custom entity types — structured as a JSON object, not a tagged string.

How it works

POST any text. The API returns a categorized list of extracted entities: each with its value, type, and position in the text. Handles complex cases like partial names, relative dates ("next Tuesday"), and implicit organizations.

Use cases

• Extract contract parties, dates, and amounts from legal documents
• Parse unstructured company data from news articles or press releases
• Extract action items and owners from meeting notes automatically
• Build knowledge graphs by extracting entities from large document sets
• Preprocess customer emails to extract order numbers and customer names

API Reference

POST https://slopshop.gg/v1/llm-extract-entities
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

Input parameters

Example response

{
  "data": {
    "result": "AI-generated result based on your input.",
    "model": "claude-3-5-sonnet",
    "tokens_used": 150
  },
  "meta": {
    "credits_used": 10,
    "engine": "real",
    "ms": 4
  }
}

Examples

Three real-world scenarios showing how developers use Entity Extraction in production.

curl -X POST https://slopshop.gg/v1/llm-extract-entities \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "This agreement is entered into on January 15, 2025 between Acme Corp, a Delaware corporation, and Beta LLC."}'

curl -X POST https://slopshop.gg/v1/llm-extract-entities \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "Apple CEO Tim Cook announced in Cupertino yesterday that the company will invest $500 million in a new facility in Texas."}'

curl -X POST https://slopshop.gg/v1/llm-extract-entities \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "John will send the revised proposal by Friday. Sarah needs to review the budget with finance by EOD Wednesday."}'

Code examples

curl

curl -X POST https://slopshop.gg/v1/llm-extract-entities \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input": "your data here"}'

Python

import requests

response = requests.post(
    "https://slopshop.gg/v1/llm-extract-entities",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={"input": "your data here"}
)
result = response.json()
print(result["data"])

Node.js

const response = await fetch("https://slopshop.gg/v1/llm-extract-entities", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({ input: "your data here" })
});
const { data } = await response.json();
console.log(data);

CLI

# Install the Slopshop CLI
npm install -g slopshop

# Set your API key
export SLOPSHOP_KEY=your_api_key

# Call llm-extract-entities
slop llm-extract-entities '{"input": "your data here"}'

Pricing

Credits are purchased in bundles starting at $1 for 1,000 credits. All compute APIs like this one use 10 credits per call — that's $0.01. See all pricing tiers.

Related APIs in AI: Analysis

• Summarize API — Summarize any text. Configurable length and format.
• Thread Summary API — Summarize email/chat thread with decisions + action items.
• Sentiment Analysis API — Analyze sentiment with aspect-level detail and confidence.
• Text Classify API — Classify text into your provided categories.
• Action Items API — Extract action items with owners and deadlines from text.

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