Individuals
Get StartedSmall Teams
Get StartedLarge Organizations
Contact SalesFree $ 0per month | Pro $ 25per month | Enterprise Custom | |
|---|---|---|---|
| Block Count | 30 | Unlimited | Unlimited |
| Workspace Count | 1 | 20 | Unlimited |
| File Uploaded | 5 MB | 50 MB | 500 MB |
| Deployed Server | 1 | 5 | Unlimited |
| LLM-calling | 50 | 500 | Unlimited |
| Single Run | 100 | 1000 | Unlimited |
| Priority Support |
pricing.faq.whatIs.answer
Vector DBs rely on probabilistic similarity, which is fuzzy and prone to hallucinations when dealing with exact numbers, SKUs, or complex logic. Context Base provides deterministic retrieval based on hybrid indexing (Text + Structure), giving you 100% accuracy for mission-critical business context.
It is built for the 'Vibe Coding' generation: FDEs (Full-Stack Engineers), Product Engineers, and 'Business Geeks' who are building their own AI tools using Cursor or Claude. If you need a backend for your custom Agent that is more flexible than a SaaS and smarter than a database, this is for you.
Yes. We follow a 'Local-First' architecture. You can run the entire kernel via Docker on your own infrastructure. Your proprietary 'Know-How' and sensitive data never leave your VPC, while still empowering your internal Deepwide Research Agents.
We do not charge per 'Seat' like traditional SaaS. We charge based on 'Asset Usage'—specifically the volume of Know-How stored and the API compute for retrieval/ingestion. This aligns with the 'Infra + Talent' model of the AI era.