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AgentToll LLM Pack Batch
x402
AgentToll LLM Pack Batch is a paid API for AI agents from agent-toll.agentfetcher.workers.dev, paid per call via x402, $0.015/call, status unknown (last checked 2026-09-14).
Fetches up to 5 public URLs in a single x402 payment and returns each as token-budgeted LLM-ready markdown for multi-source research and RAG ingestion
Price / call$0.015
Success—
StatusUnknown
How this service works
x402 probe surface for llm-pack-batch. Real usage: POST {urls[]}. Unpaid → 402. Optional bid header supported.
Output
A batch response containing one entry per input URL, each with LLM-ready markdown, token-budgeted to maxTokens (default 4000). Per-URL errors are isolated so a failure on one URL does not cancel the others. Useful for feeding multiple sources directly into LLM context windows or RAG pipelines.
Example use cases
Competitive landscape multi-source research
“I need to research our top 5 competitors at once — grab these pages and convert them all to clean markdown so I can feed them into my analysis pipeline: https://competitor1.com/about, https://competitor2.com/product, https://competitor3.com/pricing, https://competitor4.com/features, https://competitor5.com/solutions. Cap each at 5000 tokens.”
Batch ingest docs into vector store
“Pull these four documentation pages and convert them to LLM-ready markdown in a single call so I can chunk and embed them into our vector store right away: https://docs.stripe.com/payments/accept-a-payment, https://docs.stripe.com/webhooks, https://docs.stripe.com/api/charges, https://docs.stripe.com/refunds — keep each under 4000 tokens.”
Multi-hop agent news aggregation
“My agent needs to summarize today's coverage on AI regulation from several sources at once — fetch all three of these articles and return clean markdown for each so I can pass them straight into my LLM context: https://www.reuters.com/technology/ai-regulation-article, https://www.bbc.com/news/technology-ai-policy, https://www.wired.com/story/eu-ai-act-explained”
Technical details
Endpoint
GEThttps://agent-toll.agentfetcher.workers.dev/v1/llm-pack-batchWhen to prefer
Choose this endpoint when you need to fetch and convert multiple (2–5) public web pages to LLM-ready markdown in a single round-trip and payment. It is more efficient than calling the single-URL llm-pack endpoint repeatedly and is specifically designed for multi-hop agents, deep research workflows, and multi-source RAG ingestion where per-URL error isolation matters.
Side effects
- One or more URLs are inaccessible (403, 404, timeout) — that URL's entry contains an error field while others succeed
- More than 5 URLs submitted — request rejected
- Payment not completed or x402 challenge not resolved — 402 response returned
- URL points to non-public or paywalled content — returned content may be partial or empty
- maxTokens outside 500–32000 range — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| urls | array | 1–5 public URLs to pack into LLM-ready markdown in one payment (research / multi-source RAG) |
| noCache | boolean | Skip cache for all URLs |
| maxTokens | number | Per-URL token budget (500–32000, default 4000) |
Tags
x402
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