What is a 'context layer' for GTM agents?
A context layer is a continuously updated, structured store of real-world signals that your AI agents can query before taking action. Sushidata automatically builds and maintains this layer, providing a concrete foundation for AI reasoning.
Do I need existing AI agents to use Sushidata?
No, Sushidata offers built-in agents for out-of-the-box use without coding. Alternatively, you can use their Context API to feed your own custom agents, providing flexibility for different user needs.
Which LLMs does Sushidata use under the hood?
Sushidata routes tasks to the best model for each job, including ChatGPT 5.1, Claude, Gemini, Gemma 4, Kimi, and Llama 4. Each agent dynamically selects the most suitable model for the task at hand.
How does Sushidata reduce AI hallucinations?
By providing agents with verified, structured context drawn from real conversations and signals, Sushidata gives them concrete information to reason against. This grounding significantly reduces the occurrence of LLM hallucinations.
Is there a free tier available for Sushidata?
Yes, Sushidata offers a free tier where you can connect up to 3 sources and run your first context agent. This tier includes up to 500 signals ingested per month, with no credit card required to start.
What counts as a 'result' in Sushidata's pricing plans?
A result is any piece of content your agents surface, such as a Reddit thread, LinkedIn post, job listing, review, or news article. Each unique item processed by an agent counts as one result.