AI: Analysis 10 credits LLM

Proofread API

Proofread text for grammar, spelling, punctuation, and style issues using Claude AI via REST API. Returns specific corrections with explanations — not just red underlines, but the corrected text and a human-readable explanation of each change.

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How it works

POST any text. The API returns: the corrected version of the full text, a list of individual corrections each with the original text, corrected text, issue type (grammar/spelling/style), and explanation.

Use cases

Proofread user-generated content before publishing in a CMS
Check marketing copy and emails for errors before sending
Validate LLM-generated content for quality before delivering to users
Build writing assistance tools that surface grammar issues inline

API Reference

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

Input parameters

Parameter	Type	Required	Description
`text`	string	required	The text to process with AI
`options`	object	optional	Optional configuration (format, length, etc.)

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 Proofread in production.

Example 1

Proofread marketing email

Fix grammar and style in a marketing email before sending to subscribers.

curl -X POST https://slopshop.gg/v1/llm-proofread \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "We're exited to anounce our newest feature that going to change how you work with data forever!"}'

Example 2

Proofread LLM output

Catch errors in AI-generated content before delivering it to a user.

curl -X POST https://slopshop.gg/v1/llm-proofread \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "The quarterly report show a 15% increasing in revenue. This represent a significant improvment over previuos period."}'

Example 3

Proofread user review

Clean up grammar in a user-generated review before publishing on a site.

curl -X POST https://slopshop.gg/v1/llm-proofread \
  -H "Authorization: Bearer $SLOPSHOP_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "i really like this product alot, its way better then i expected the quality is really good"}'

Code examples

curl

curl -X POST https://slopshop.gg/v1/llm-proofread \
  -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-proofread",
    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-proofread", {
  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-proofread
slop llm-proofread '{"input": "your data here"}'

Pricing

Credits per call

credits

Cost per call

$0.01

at Starter tier

Tier

LLM

Requires LLM key

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.

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