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Text Summarizer (TLDR / Bullets / Paragraph / Executive Summary)
x402
Text Summarizer (TLDR / Bullets / Paragraph / Executive Summary) is a paid API for AI agents from x402-deployer.x402-deployer.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).
Summarizes up to 30,000 characters of text into a chosen format (TLDR, bullets, paragraph, or executive summary) with adjustable length, tone, and structure, powered by Mistral.
Price / call$0.01
Success—
StatusUnknown
How this service works
Summarize text into TLDR, bullets, paragraph, or executive summary. Up to 30k chars input. Mistral-powered. Adjustable length, tone, and structure.
Output
Returns a summarized version of the input text in the requested format — TLDR, bullet points, paragraph, or executive summary — with the specified tone and length adjustments applied. Powered by Mistral LLM with up to 30k character input support.
Example use cases
Example prompt
“Can you summarize this 5,000-word article into an executive summary with a professional tone? Here's the text: [paste text]. Keep it concise but cover the main points.”
Technical details
Endpoint
POSThttps://x402-deployer.x402-deployer.workers.dev/summarizeWhen to prefer
Choose this endpoint when you need to condense long-form text (up to 30k chars) into structured summaries with control over format (bullets, TLDR, paragraph, executive), tone, and length. Especially useful for documents, articles, reports, or meeting notes where a specific output structure is required. Prefer over generic LLM calls when you want a purpose-built, pay-per-use summarization service with Mistral quality.
Side effects
- Input text exceeds 30,000 character limit — returns error or truncation
- Invalid or unsupported format type specified — returns validation error
- Mistral API timeout or availability issue — returns 5xx error
- Empty or near-empty input text — returns minimal or error response
- Malformed request body — returns 400 bad request
Input
{
"input": {
"body": {
"text": "Artificial intelligence has revolutionized many industries over the past decade. Machine learning algorithms now power recommendation systems, autonomous vehicles, and medical diagnostics. Natural language processing enables chatbots and translation services. Computer vision applications range from facial recognition to autonomous navigation. The field continues to evolve rapidly with new breakthroughs in deep learning and transformer architectures. However, challenges remain including bias in training data, computational resource requirements, and ethical considerations around AI deployment. Organizations are increasingly investing in AI capabilities while also establishing governance frameworks to ensure responsible development and use of these powerful technologies.",
"style": "bullets",
"max_words": 100
},
"type": "http",
"method": "POST",
"bodyType": "json"
}
}Output
{
"model": "hermes-3-llama-3.1-405b",
"style": "bullets",
"source": "morpheus",
"summary": "- AI has transformed industries through machine learning, natural language processing, and computer vision\n- Applications include recommendation systems, autonomous vehicles, chatbots, and medical diagnostics\n- Rapid evolution with deep learning and transformer breakthroughs\n- Challenges: bias in training data, computational requirements, ethical considerations\n- Organizations investing in AI while establishing governance for responsible development and use",
"input_chars": 779,
"output_chars": 461
}Tags
x402
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