| What it does | One-click molecular docking with AutoDock Vina in your browser
| The easiest way to build evals and custom benchmarks for real-world agentic tasks
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
| Free: 100 plan runs per month, $0/month. Pro: 300 plan runs per month, $20/month ($0.067 per run). Ultra: 1,000 plan runs per month, $60/month ($0.06 per run). Top-ups available: 25 runs for $5, 100 runs for $15, 300 runs for $40, 1,000 runs for $120.
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| Key features | - Automated receptor and ligand preparation via Meeko
- Batch screening up to 300 ligands per job
- Publication-ready PDF reports with embedded figures
- 2D and 3D interaction diagrams with PLIP
- PoseBusters automated pose quality validation
- ADMET analysis including Lipinski, Veber, and QED
- Custom docking box definition with 3D visualization
- Co-crystal redock validation against crystal poses
- Interactive 3D viewer for pose inspection
- Optional PyMOL publication-quality binding site rendering
| - Compare treatments (toolsets including skills, MCP servers, CLIs, SDKs)
- Build and version private benchmarks in plain language
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| What makes it different | - No software installation or local computing required
- Fully reproducible, documented pipeline with exact software versions recorded per job
- Automated Methods text and citations ready for manuscript submission
- Batch parallel docking with per-ligand failure tolerance
- Secure cloud processing with immediate data deletion after job completion
| - Full trajectory visibility showing every step agents took, where they got stuck, and detailed friction analysis
- Compare multiple agents, models, and toolsets simultaneously on identical tasks with one experiment grid
- Managed cloud infrastructure handling durable workflows while you control your own model costs
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 3 ▲ +1 (up) since last check | 13 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 7 |
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| Citation Flow (Majestic) | 17 | 28 |
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| Referring domains (Majestic) | 9 | 130 |
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