Try
5,000 searches
$9.25
$1.85/1K searches
- Wire it into one agent
- Same API as the largest pack
- Credits never expire
Quick answer
Which web search API for AI agents returns page content and takes crypto without KYC?
LLMWebSearch is a web search API for AI agents that returns ranked results with the content of the top pages in Markdown, paid in crypto with no ID upload. As of October 2026, 5,000 searches cost $9.25, 100,000 cost $145, and the rate falls to $1.20/1K searches at 1 million. One credit runs one search and reads the top 3 pages; credits never expire.
How much does LLMWebSearch cost?
5,000 searches cost $9.25 ($1.85/1K searches), 100,000 searches cost $145 and 1,000,000 searches cost $1,200, as of October 2026. Each search includes the top 3 pages read as Markdown; reading 4 to 10 pages takes 2 credits. See all packs and the dated price comparison.
Builder
25,000 searches
$41.25
$1.65/1K searches
- A coding agent or a research assistant
- MCP, LangChain and n8n ready
- Credits never expire
Production
100,000 searches
$145
$1.45/1K searches
- Agents in production
- Higher rate limit on request
- Credits never expire
Best rate
Volume
1,000,000 searches
$1,200
$1.20/1K searches
- Platforms serving many agents
- Higher rate limit on request
- Credits never expire
In every plan: Top 3 pages read as Markdown · Country, language, time and domain filters · Failed calls not charged · Credits never expire
Prices in USD, set on 2026-10-22. 1 credit = 1 search with up to 3 pages read.
What does one search return?
One key, one credit balance, two endpoints: /search to ask the web, /extract to read URLs your agent already has.
Ranked results
Up to 20 results from a live web search, each with title, URL, host, snippet and date when known.
The pages, already read
The main content of the top 3 pages as Markdown, with a word count; ask for up to 10.
Filters that matter
Country, language, past day, week, month or year, news only, and domains to include or exclude.
News search
Recent articles for monitoring and briefings, with their publication dates.
Known URLs
Send up to 20 URLs and get their content back, 1 credit per started group of 3 pages read.
Ready for your agent
Copy-paste tools for MCP, LangChain, LlamaIndex, OpenAI function calling, n8n and OpenClaw.
How is it different from a built-in search tool?
Model providers sell search inside their chat APIs. As of October 22, 2026, OpenAI and Anthropic charge $10 per 1,000 searches, plus the retrieved text as input tokens; Gemini 3 grounding costs $14 per 1,000 queries. Those tools return an answer with citations, and they tie you to one model.
LLMWebSearch returns the sources themselves. Your agent keeps any model, reads the pages, writes its own answer and cites the URLs. The built-in tools comparison lists the prices, the token add-ons and the storage rules side by side.
How do I start with LLMWebSearch?
Three steps; the slowest is the blockchain confirmation of your top-up.
Top up in crypto
Send at least $25 in USDT, USDC, BTC, ETH, SOL or LTC. No ID, no selfie, no documents, no work email.
Buy a credit pack
5,000 searches for $9.25 or 25,000 searches for $41.25, paid from your balance. Your API key appears in the dashboard.
Run a search
POST https://llmwebsearch.com/api/v1/searchwith a query and your key as a Bearer token. The quick start has code for Python, Node.js and curl.
What can you count on with LLMWebSearch?
robots.txt respected
Our reader introduces itself as LLMWebSearch and leaves out pages a site disallows. See our page reader.
No workarounds
When a site turns our reader away, the result comes back without content and with the site's status: we never solve CAPTCHAs, sign in to accounts or work around a block or a paywall.
Your queries stay yours
We do not train any model on your queries or on what the API returns, and we add no rule of our own against storing results; the rights of the sites whose pages you read still apply. Details in the privacy policy.
Errors cost nothing
A call that ends in an error uses no credit, and checking your balance is free.
Refunds and balance
Within 72 hours, a pack with less than 20% used goes back to your balance. Read the refund policy.
Support by email
A person answers support emails within 12 hours, seven days a week, and helps you wire search into your agent or framework, at [email protected].
Quick answers before you buy
What is LLMWebSearch?
LLMWebSearch is a web search API for AI agents that returns ranked results with the content of the top pages in Markdown, paid in crypto with no ID upload. Prepaid credits from $1.20/1K searches never expire. No KYC — no ID, no selfie, no documents. Pay in crypto. It is operated by SerpGoat LLC. You buy prepaid credits from a crypto balance, then send queries to one HTTPS endpoint. See the about page.
Does the API write the answer for me?
No. The API returns sources, not a written answer: your own model reads the pages, writes the reply and cites the URLs. That keeps you free to use any model, and it keeps the price of a search low.
How are searches counted?
One credit pays for one search: up to 20 ranked results, with the pages of the first 3 read and returned as Markdown. Reading 4 to 10 pages makes it 2 credits. A call that ends in an error costs nothing. Reading pages whose URLs you already have costs 1 credit for each started group of 3 pages returned with content, up to 20 URLs per call; refused or failed URLs are not counted. Checking your remaining credits with GET https://llmwebsearch.com/api/v1/credits is free.
Do I need to verify my identity or add a card?
No. LLMWebSearch asks for no ID, no selfie, no company documents, no work email and no credit card. Sign in with an account number; an email address is optional. You pay in BTC, USDT, USDC, ETH, SOL, LTC. The Acceptable Use Policy applies to every account.
Can Claude Code, Cursor or OpenClaw use it?
Yes. The docs include a copy-paste MCP server with a search_web tool for Claude Code, Claude Desktop and Cursor, an OpenClaw guide and an OpenAI function-calling tool. Keep max_chars low to fit your model's context.
All key facts
LLMWebSearch at a glance
| What it is | A web search API for AI agents: send a query, get ranked results with the content of the top pages as Markdown |
|---|---|
| KYC / ID verification | None — no ID, no selfie, no documents, no work email |
| Price | From $1.20/1K searches ($9.25 for 5,000 searches, $145 for 100,000 searches, $1,200 for 1,000,000 searches) |
| Credits | One credit pays for one search: up to 20 ranked results, with the pages of the first 3 read and returned as Markdown. Reading 4 to 10 pages makes it 2 credits. A call that ends in an error costs nothing |
| Reading known URLs | Reading pages whose URLs you already have costs 1 credit for each started group of 3 pages returned with content, up to 20 URLs per call; refused or failed URLs are not counted |
| Credit expiry | Search credits have no expiry date: what you do not use this month is still there next year |
| Output | Each result carries its position, title, URL, host, snippet and, when it was read, the page's main content as Markdown or plain text with its word count and publication date when known |
| Results | Results come from a live web search run at the moment of your call, in the order the search engine ranks them; nothing is served from an old index |
| Filters | Choose the country and language of the results, a time range (past day, week, month or year), web or news results, and domains to include or exclude |
| Answer | The API returns sources, not a written answer: your own model reads the pages, writes the reply and cites the URLs |
| robots.txt | Our reader respects robots.txt: it introduces itself as LLMWebSearch, follows the rules a site writes for it or for all robots, and leaves out the content of any page it is not allowed to read |
| Site owners' choices | A site that sets Content-Signal: ai-input=no in its robots.txt keeps its pages out of your results' content. When a site turns our reader away, the result comes back without content and with the site's status: we never solve CAPTCHAs, sign in to accounts or work around a block or a paywall |
| User-Agent | LLMWebSearch/1.0 (+https://llmwebsearch.com/bot/) |
| Endpoint | POST https://llmwebsearch.com/api/v1/search |
| Authentication | Pass your API key as a Bearer token in the Authorization header, or as the api_key query parameter |
| Code examples | Python, Node.js and curl, plus tool definitions for MCP, LangChain, LlamaIndex, OpenAI function calling, n8n and OpenClaw |
| Payment | Crypto only: BTC, USDT, USDC, ETH, SOL, LTC (USDT on TRC-20 or ERC-20, USDC on ERC-20) |
| Payment model | Top up from $25, then buy any credit pack from your balance. Money on your balance does not expire and buys search credits whenever you want. When a pack is cheaper than the minimum top-up, the part you paid only to reach that minimum comes back to you on request within 30 days of payment, in USDT or USDC, provided it is still unspent. The rest of a balance is not returned unless the law requires it |
| Account | Sign in with an account number; an email address is optional. Your account number is how you sign in, so store it carefully. With an optional email on file you can recover it; with no email, a lost number is gone for good |
| Request logs | Each call leaves one log line: the time, the account, the first 60 characters of the query, how many results and pages were returned, and the credits. Lines are deleted after 30 days. The content of the pages we read is not kept. Account number, orders, top-ups and credit totals stay while the account exists, then only as long as accounting law asks. Authorities receive records only when a law compels us |
| Operator | SerpGoat LLC |
| Support | A person answers support emails within 12 hours, seven days a week, and helps you wire search into your agent or framework |