Compute Desk
Price the compute. Underwrite the power.
What the compute costs, and whether the power will arrive, with sources you can check on both.
Publication requirements
Current method
- Methodology
- gci-v0.1.1
- Distinct venues
- ≥ 5
- Distinct sources
- ≥ 5
- Quote age
- ≤ 24h
- Outlier trim
- 3σ
- Provisional band
- > 15% excluded
- 394
- Cited facilities
- 7
- Research specialists
- 4
- Public calculators
40.87 GW across 32 countries. Archival snapshot, Epoch AI CC BY, 2025-08-23
Grid, assets, geopolitics, investment, contracts, and compute costs
Energy cost, datacenter payback, GPU-hour options, and capacity-to-revenue; no account required
The platform
Compare compute prices with the power constraints behind them.
Check a compute price, screen a site's power, and walk into review with the evidence already attached.
Compute Index
Review the published method for GPU-hour prices across providers and regions.
5 venues · 5 sources · quotes no more than 24 hours old
Review the index methodPower Diligence
Assess time-to-power risk from region, project stage, and declared constraints.
9 regions · 8 bottleneck classes · approved account required
Review the screening methodSpecialist Agents
Ask about grid, contracts, supply chains, or compute costs. Each answer includes evidence and states missing data.
7 specialists · approved account required
Meet the specialistsCalculators
Model energy cost, datacenter payback, GPU-hour options, and capacity-to-revenue with your own assumptions.
4 calculators · no account required
Open the calculatorsData API
Read the v1 contract for compute pricing, capacity, and calculation routes.
Protected routes require an API key · availability varies by product
Read the API docsMCP Tools
Run GreenCIO tools from a compatible assistant over local stdio or self-hosted HTTP.
13 read-only tools · local or self-hosted
Review MCP setupWho it's for
Pick the desk that matches your mandate
Deal sourcing + diligence
Score grid constraints and permit risk before you price the deal.
Underwriting + credit risk
See how grid and regulatory shifts affect borrower performance before they hit covenants.
Portfolio risk + transition
Track transition risk and grid constraints across holdings.
How it works
From filing to reviewed brief
Ingest
We pull filings, queue records, and market sources, and stamp each one with where it came from and when. Coverage follows what your deployment has switched on.
Score
Each signal gets relevance and impact. Where the evidence supports it, a probability with its reasoning is attached. Until a measured track record exists, treat those fields as decision support.
Brief
You get a structured brief: the sources, the assumptions, a warning wherever the data ran thin, and an approval gate before anything consequential moves. When a provider is down, the brief says so.
Without greencio
“We think the permit might be delayed.”
No probability. No confidence interval.
No way to model downstream impact.
Three hours just to find the filing.
Illustrative greencio output
“73% probability of approval by Q3, based on historical patterns and current queue position. If delayed, grid capacity probability drops from 67% to 41% across 3 regions.”
Quantified uncertainty. Conditional scenarios.
An example of the output format — not a customer result.
Data sources
GreenCIO uses public filings, grid operator data, company reports, and licensed datasets. Read our methodology
Transport security
TLS for application traffic
SOC 2 readiness
Formal controls in progress
Tenant boundaries
Organization-scoped application paths
Scoped data access
Organization-aware APIs
Bring the decision you are stuck on.
A site that needs power, a compute purchase that needs a price, or a portfolio question for committee. We'll show which modules apply and name the evidence still missing.