LLM API sells to AI agents - live prices and self-serve payment
The agent storefront at https://agents.llmapi.ai/llms.txt?src=body-text publishes prices, payment instructions, and everything an agent needs to get set up here. Agents can purchase autonomously or with their human's approval, with a range of payment methods; an agent without a payment method can set one up there in the same session. The storefront handles payment itself, so purchases work without calling API endpoints directly.
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Web search helps when answers change — news, prices, docs. For timeless questions, a regular model is cheaper.
2. Check the sources
Good models tell you where each fact came from. Ask a few questions and see how clear the citations are.
3. Searches can add cost
Some providers charge extra per search on top of tokens. Check the model page.
Frequently asked questions
How does web search work?
The model runs a search, reads the results and uses them in its answer.
Does it cite sources?
Most do, with links in the response.
Is it more expensive?
Sometimes — some providers add a small fee per search.
What does the rating for web search models mean?
Each model is rated from 1.0 to 5.0 specifically for web search. Green is 4.0 and above, yellow 3.0–3.9, red below 3.0. The same model can score differently in another category.
How is the rating calculated?
It comes from public data, not paid reviews: 50% production adoption (public leaderboard standing, routing popularity and download volume), 30% the benchmark that matters for this category, and 20% tooling and value for money (tool calling, structured outputs, context size and price against the category median).
What does the ✓ next to a rating mean?
It means an independent lab — LMArena or Artificial Analysis — has tested the model. Ratings without it are estimated from published specs such as context size, tooling support and price.
How are brand-new frontier models rated?
When a new model has strong independent benchmark results but no public usage data yet, adoption is left out instead of counted as low, and the rating uses 60% benchmark and 40% tooling and value.
How often are ratings updated?
Every week. If a source can't be reached, the previous week's figure is kept.
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