Contextwaise vs Agentgates
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 | Context optimization for production AI | Confidential and open LLM inference for agents, paid per request in USDC |
| Stage | MVP | Not given |
| Founded | Not given | Not given |
| Based in | GB | US |
| Pricing model | Freemium | Paid |
| Pricing | Free: 1M context tokens (one-time). Pro: $15/month for 100M tokens/month, $0.18 per extra 1M tokens. Scale: $49/month for 350M tokens/month, $0.15 per extra 1M tokens. 30% off Pro or Scale for the first year for early access teams. | LLM inference: Models priced per million tokens input and output, ranging from $0.043 to $3.63 for input and $0.22 to $18.15 for output (e.g., Qwen3.8 27B route C: $0.043/$1.375, Kimi K3 route B: $3.63/$18.15). Virtual machines: Starter $0.159-$0.169/hour, Standard $0.318-$0.335/hour, Pro $0.636-$0. |
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet no change since last check | 27 no change since last check |
| Trust Flow (Majestic) | 6 | 1 |
| Citation Flow (Majestic) | 19 | 29 |
| Referring domains (Majestic) | 2 | 70 |
6 details filled in for both companies.
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