Kanlet vs SandBase
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
| Detail | ||
|---|---|---|
| What it does | Semantic context layer that helps AI agents understand your business data accurately | One API for models, APIs, and agent workflows |
| Stage | MVP | Not given |
| Founded | Not given | Not given |
| Based in | Not given | SG |
| Pricing model | Not given | Freemium |
| Pricing | Not given | Free tier with 100 free API calls daily and free sandboxes. Metered pay-per-call pricing with no subscription: from $0.0011 per API call (LinkedIn Company), language models from $0.225 input/$0.90 output per 1M tokens (DeepSeek flash), image generation from $0.0196 per image (Kling), video from $0.3 |
| Key features |
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| What makes it different |
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| Free plan | Not given | Not given |
| Open source | Not given | Not given |
| Platforms | Not given | Not given |
| Public API | Not given | Not given |
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 9 +1 (up) since last check | 41 no change since last check |
| Trust Flow (Majestic) | 1 | 12 |
| Citation Flow (Majestic) | 24 | 35 |
| Referring domains (Majestic) | 29 | 176 |
3 details filled in for both companies.