Thefastestweb
APIforAIagents
One key for search, scraping, crawling, mapping, structured extraction, and cited answers — engineered for the lowest latency in the category, billed only when you call.
One API. Infinite use cases.
Initialize the client once. Every capability is a single typed call against the same key — and every one prints exactly what it returns, and what it costs.
from llmlayer import LLMLayerClientclient = LLMLayerClient(api_key="YOUR_LLMLAYER_API_KEY")
Web search and a cited AI answer in a single call — streaming and sources included, one flat price.
From a raw URL to structured data in one call.
Scrape, crawl, extract, and answer over the live web — all from one provider, one key. Here's what your agent can do today.
Read the web, live.
Give an agent real-time access to any page. Renders JavaScript, strips the chrome, and hands back clean markdown — so it reasons over the current web, not a frozen snapshot.
client.scrape("https://stripe.com/pricing")Integrated per-transaction pricing with no
setup fees or monthly fees.
Ground RAG in fresh content.
Keep your index current. Crawl a whole site, convert every page to clean markdown, and pipe it straight into embeddings — no brittle parsers in between.
Cited answers, not guesses.
Web search and a grounded answer in a single call — every claim carries its source, streamed over SSE, at one flat price.
What shipped in the EU AI Act this month?
The Commission adopted GPAI guidance on June 4 [1], narrowing the systemic-risk threshold [2].
Any domain, typed.
Turn a bare domain into a typed company: logo, colors, fonts, industry, and socials — enrich CRM records or autofill onboarding in one request.
Extract any page into the exact JSON you define.
Hand the API a schema; get back typed data — no scraping logic, no parsing, no cleanup. Pricing tables, product listings, company profiles: whatever shape you ask for.
client.extract( "https://vercel.com/pricing", modes=["json"], json_schema={ "plans": [{ "name": "string", "price": "number", }], }, )
{ "plans": [ { "name": "Hobby", "price": 0 }, { "name": "Pro", "price": 20 }, { "name": "Enterprise", "price": null } ] }
A new layer between your AI and the web. The web was built for browsers — agents drown in markup, pop-ups, and pagination. LLMLayer hands them meaning instead: clean, cited, structured data on every call.
What changed in EU AI regulation this month?
The Commission adopted new GPAI guidance on June 4 [1], narrowing the systemic-risk threshold…
Cited answers from the live web
Search and a grounded answer in one call — sources attached, streamed over SSE, $0.007 flat.
stop calling, stop paying · credits never expire
A bill you can read at a glance
Every response prints its own price. Your month is just the sum of the ledger — no plans, no seats.
Whole sites, streamed page by page
Follows links, respects robots.txt, and lands every page as clean markdown the moment it's ready — $0.001 each, however deep you go.
You pay for what runs. Nothing else.
No plans to size, no credits to babysit. Every response carries its own price, and the ledger is the whole story.
Firecrawl figures from their published month-to-month plans as of June 2026 (firecrawl.dev/pricing); annual billing is cheaper. 1 page = 1 credit. Calculator uses the cheapest plan whose monthly credits cover the volume. Verify current terms on their site.
Asked, answered.
Pure pay-as-you-go. Web search costs $0.002 per query, answers cost a flat $0.007 with llmlayer-web, scraping is $0.001 a page. Every API response includes the exact cost of that call — your bill is just the sum of your ledger.
Something else? Ask us on Discord — usually same-day answers.
Start with nothing to lose.
Free credits on signup, no card. Your balance never expires, and the meter only moves when you do.
stripe payments · live usage dashboard · same-day discord support