Energy market intelligence
ARAY is that exercise run on the global energy system. Every zone gets marked with what it actually burns, what that costs the atmosphere, and what it means for whoever is looking at it.
The map is the same for everyone. The layers are not — a regulator, a trader and a lender are asking different questions of the same grid, and that difference is the business.
Country shading is an indicative annual average compiled from published national electricity mixes. Indian zones are modelled from installed capacity × typical capacity factors (VEDAS + IPCC AR5); 4 carry a measured generation feed. Nothing here is a real-time trading signal — the method is stated in full below.
Electricity Maps answers “how clean is the grid right now.” That is one question, asked by a general audience. The people who pay for energy intelligence are asking narrower questions — and each of them needs a different set of layers over the same geometry.
“Which zones are structurally locked into coal, and what does an order actually move?”
“Where does my fleet sit against the zone it sells into — and who is the marginal competitor?”
“Where does the mix flip overnight, and which zones carry the widest intensity spread?”
“How clean is this fleet structurally, before I underwrite twenty-five years of it?”
“What is my Scope 2 where I actually operate, and where should the next site go?”
A sixth desk is a data question, not an engineering one. The geometry, the ingestion and the emission-factor engine are already shared — adding a stakeholder is adding a layer set and a person who writes the brief.
See what each tier opensThe free tier is not a demo — it is the credibility. Everything above it is the same data with history, export, a stakeholder lens, or your own boundaries on it.
The whole map, every source, the read API. This page is the product.
For the analyst who has to put a number in a deck by Thursday.
Pick your side of the market. The map re-layers, and a person writes the brief.
Your portfolio, your boundaries, your zones — the same engine, run privately.
Pricing is stated in rupees because the first zones that are worth paying for are Indian, and the first buyers are the commissions, gencos and consultancies that already read this data badly. The same ladder runs in dollars the day a second country reaches state-level depth.
An energy map is only worth money if you can defend every number on it in a room full of people who know the sector. So the caveats sit on the page, not in a footnote.
Default carbon intensity is MODELLED from installed capacity x typical capacity factors, NOT measured generation. It shows the structural cleanliness of the fleet.
Connect the MERIT India feed (ingest/merit.py) to replace modelled mix with real 15-min generation by fuel for true live carbon intensity.
IPCC (2014), 5th Assessment Report, Working Group III, Chapter 7, Table 7.1 — Life-cycle greenhouse gas emissions by electricity source (median gCO2eq/kWh).
Every zone on this map is served from one public endpoint. No key, no signup.
GET /api/aray/zones?scope=state&sort=ciTry it Pro and Desk open per zone, not all at once — the brief is only worth reading where the underlying data is deep enough to say something true. Say who you are and you get the next zone brief, the pricing detail, and a straight answer on whether ARAY is useful to you yet.
No card, no trial clock. A reply from a person.