Computable vs YABANIN
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Computable compared with YABANIN
| Detail | 
Computable | 
YABANIN |
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| What it does | Open-source price index for GPU compute updated every 15 minutes
| Self-hosted AI infrastructure with measurable returns
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Not given
| Contact for pricing
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| Pricing | Not given
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| Key features | - Open-source repository with collector and calculation code
- MCP interface for autonomous agents, anonymous and read-only
- Covers H100, H200, B200, and B300 GPU models
- Fully transparent methodology with published parameters
- Verifiable and reproducible calculations from public record
| - Model provider support through a single common gateway
- Usage attribution to teams, tasks, and agents
- Agent workflows in Scala for repositories and code
- Apache-2.0 open-source core with enterprise deployment option
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| What makes it different | - First open-source price index for GPU compute with fully transparent methodology
- Data, method, and code are all public and verifiable
- Resistant to manipulation and outliers through interquantile mean voting
- Fault-tolerant design that maintains integrity when sources fail or vanish
- Updated every 15 minutes with real-time data from published on-demand rates
| - Full visibility into AI costs attributed to specific teams, tasks and agents
- Self-hosted deployment keeps data and models under company control
- Model agnostic with support for multiple providers through one gateway
- Structured four-step implementation path with clear ownership and baselines
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 16 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 8 | 0 |
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| Citation Flow (Majestic) | 32 | 0 |
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| Referring domains (Majestic) | 274 | 0 |
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3 details filled in for both companies.
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