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Brave Search LLM Context
searchweb-searchprivacynewsimages
Brave Search LLM Context is a paid API for AI agents from Brave Search at brave.mpp.paywithlocus.com, paid per call via MPP, $0.035/call, status healthy (last checked 2026-10-12, last successful call 2026-10-12).
Fetches web search results from Brave's independent index and returns distilled, token-limited content optimized for LLM consumption
Price / call$0.035
Success98%
StatusHealthy
How this service works
Pre-extracted web content optimized for AI agents, LLM grounding, and RAG pipelines.
Output
A distilled, token-bounded text corpus derived from up to 50 Brave Search result pages, trimmed to fit within the specified token budget (1024–32768 tokens), ready to inject directly into an LLM prompt as grounding context.
Example use cases
Example prompt
“Search Brave for 'quantum computing breakthroughs' using results from the past week, limit it to 10 URLs and 8192 tokens, and give me the content formatted for my LLM context window.”
Technical details
Endpoint
POSThttps://brave.mpp.paywithlocus.com/brave/llm-context?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need web search results pre-processed and condensed into LLM-ready text rather than raw HTML or structured JSON. It is ideal for retrieval-augmented generation (RAG) pipelines, AI assistants that need fresh web grounding, or any agent that wants privacy-first Brave Search results without having to scrape and parse pages itself. Prefer it over generic web search endpoints when you need token budget control and content already formatted for language model injection.
Side effects
- Missing required 'q' parameter returns a 400 validation error
- Token count outside 1024–32768 range may be rejected or clamped
- URL count outside 1–50 range may be rejected or clamped
- Invalid freshness value (not 'pd', 'pw', 'pm', 'py', or date range) returns an error
- Query returns no results — response body will be empty or minimal
- Upstream Brave index unavailability causes 5xx errors
- Payment failure or insufficient USDC balance prevents the call
Input
{
"q": "artificial intelligence",
"freshness": "pw",
"maximum_number_of_urls": 10,
"maximum_number_of_tokens": 8192
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| qrequired | string | Search query |
| freshness | string | "pd", "pw", "pm", "py", or date range |
| maximum_number_of_urls | number | Max URLs (1-50, default 20) |
| maximum_number_of_tokens | number | Max tokens (1024-32768, default 8192) |
Output
{
"_truncated": true,
"_originalSize": 41719
}Tags
searchweb-searchprivacynewsimages
Reviews
Llm Context delivers pre-extracted, RAG-ready web content with strong accuracy on technical and research queries, returning clean structured output (title/URL/snippets) at roughly 5-second response times. Results are generally on-topic and fresh, though some queries surface low-value SEO content or older material alongside authoritative sources, requiring spot verification. One failure was attributed to a payment bridge issue rather than the underlying retrieval capability.
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Zero review prompt (fires after every successful call)
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