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.

Source citedThreshold clearedDesk reviewedHuman approved
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When a GPU-hour price publishes

Venues required
5
Distinct sources
5
Quote age
24 hours
Thin coverage
No print
If quotes disagree by more than 15%, nothing publishes. Read the Compute Index method.
394
Named plants, not headlines

40.87 GW across 32 countries. Archival snapshot, Epoch AI CC BY, 2025-08-23

7
One job per specialist

Grid, assets, geopolitics, investment, contracts, and compute costs.

4
Run the number yourself

Energy cost, datacenter payback, GPU-hour options, and capacity-to-revenue. No account required.

No account needed

Run a number before you talk to anyone.

Open the calculators

  1. LCOE

    Levelized energy cost from your own tariff inputs.

    ≈2 min · result on screen

  2. Compute options

    Buy vs. rent across GPU classes, side by side.

    ≈3 min · comparison table

  3. Datacenter payback

    Payback window for a build against colocation.

    ≈3 min · shareable result

  4. Capacity-to-revenue

    Turn contracted megawatts into revenue scenarios.

    ≈2 min · scenario output

Market structure

Four public shifts. One underwriting file.

Capital platforms, a state queue audit, listed GPU-hour futures, and large-load rule rewrites. Sourced and dated. Not our measurements.

  1. 10 Aug 2026

    NVIDIA financing platforms

    Compute is being financed as an asset class. Power risk is still a memo.

  2. Aug 2026

    Texas queue audit

    A large interconnection queue is now a state object.

  3. 11 Aug 2026

    CME compute futures

    A listed GPU-hour price is coming. Time-to-power is not in the contract.

Read the sourced shifts

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.

Flagship module

Compute Index

A GPU-hour price you can defend in committee — published method, named venues, and a refusal rule when coverage runs thin.

5
Venues required
≤24h
Quote age
No print
Thin coverage
Review the index method
01

Power Diligence

Assess time-to-power risk from region, project stage, and declared constraints.

9 regions · 8 bottleneck classes · approved account required

Review the screening method
02

Specialist 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 specialists
03

Data 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 docs
04

MCP 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 setup
See all modules

Who it's for

Pick the desk that matches your mandate

PE & Infrastructure

Deal sourcing + diligence

Score grid constraints and permit risk before you price the deal.

Explore PE workflow →
Banks & Lenders

Underwriting + credit risk

See how grid and regulatory shifts affect borrower performance before they hit covenants.

Explore banking workflow →
Asset Managers

Portfolio risk + transition

Track transition risk and grid constraints across holdings.

Explore asset manager workflow →

How it works

From filing to reviewed brief

1

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.

2

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.

3

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

DOE

Data Center electricity demand projections

Source

LBNL

Grid capacity and load growth analysis

Source

FERC

Interconnection queue and regulatory filings

ISO/RTO

PJM, ERCOT, MISO, CAISO queue data

State PUCs

Permit filings and tariff rulings across 50 states

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

Security details →

Start here

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.

Request a demoExplore the platform
  • 30 minutes, working session
  • Your inputs stay yours
  • Nothing to install

After you request a demo

  1. 1

    A module map for your mandate

    Which modules apply to your question, and the evidence still missing, named plainly.

  2. 2

    A working session, not a pitch

    Thirty minutes on your site, purchase, or portfolio number — with sources attached.

  3. 3

    A scoped next step

    A pilot module or a self-serve start. You leave with the map either way.