Kortex — Global Infrastructure Intelligence API

Kortex is a pre-integrated intelligence platform that connects energy, corporate ownership, climate risk, and geopolitics into a single queryable graph. It answers questions that require traversing multiple domains simultaneously — questions that typically require licensing 4-5 separate datasets and weeks of manual stitching.

No LLM in the stack. Kortex is purely empirical data and deterministic graph traversal. Every result is reproducible, auditable, and traceable to named source datasets. There is no generative AI, no probabilistic inference, and no black-box scoring. What you query is what the data says.

Screening and signal generation tool, not a forecasting platform. Kortex surfaces current-state compound risk, competitive dynamics, and structural exposures from historical and real-time data. It does not produce forward price curves, demand forecasts, or scenario models. It is designed to complement forecast-oriented platforms like BloombergNEF and Wood Mackenzie, not replace them.

Questions Kortex is built to answer

Which utilities are blocking renewable interconnection while earning billions from fossil plants?
Traverses: LBNL queue completion data × generator revenue × corporate ownership × grid topology.
Result: Southern Company has a 1.5% queue completion rate (9 of 803 projects built since 2015) while earning $7.2B/yr from fossil generators in the same grid zones. FERC Order 2023 queue clearance threatens $9.4B/yr across 15 blocking utilities.

Which operators claim clean energy but earn over 90% revenue from fossil?
Traverses: generator fuel type × 3-layer revenue model × GLEIF corporate hierarchy × entity resolution.
Result: NTPC earns 97% from fossil ($14B), Eskom 89%, China Huadian 100%. These are testable against public filings.

Which fossil plants are zombie assets — past retirement date but still earning?
Traverses: GEM retirement dates × revenue model × water stress × queue competition.
Result: 9 generators past retirement earning $1.7B. SPIC Tongliao: 1,400MW coal, retirement 2023, still $365M/yr at water stress 5.0.

Map critical infrastructure near active conflict zones with sanctioned-adjacent operators.
Traverses: generator/substation locations × UCDP conflict events × GLEIF ownership chains × OpenSanctions.
Result: Cross-domain query spanning physical assets, geopolitical risk, and corporate compliance in a single call.

Revenue model methodology

Three-layer empirical model — no synthetic assumptions.

Layer 1: Generation revenue. Per-generator output (capacity × fuel-specific capacity factor) × grid-zone wholesale price (empirical: ENTSO-E, EIA, AEMO, or IEA/EIA benchmarks where hourly data unavailable). Covers $2.19T across 160K generators.

Layer 2: Network revenue. Per-substation share of grid-zone T&D revenue (retail price minus wholesale price × zonal demand ÷ substation count). Covers $1.17T across 734K substations.

Layer 3: Retail revenue. Country-level retail electricity revenue from World Bank / IEA. $3.36T globally — consistent with IEA estimates (~3.1% of global GDP).

Layers are additive where data permits, with revenue tier flags: tier_1 (empirical hourly prices, highest confidence), tier_2 (country-level benchmarks), tier_3 (modelled from regional proxies).

Entity resolution uses GLEIF LEI matching (3.3M entities) with manual curation (134 corporate group mappings, 25+ groups). Revenue consolidates across subsidiaries to ultimate parent. All source data, matching methodology, and confidence tiers are queryable via the API.

Coverage

Coverage depth by region

How Kortex compares to existing vendors

Domain	Sources	Scale
Energy generation	OpenInfraMap, WRI GPPD, GEM Coal/Oil/Gas Trackers, PRIS, EIA-860/923	160K generators, 2.3M transmission line segments, 734K substations
Corporate ownership	GLEIF (3.3M LEIs), SEC (20K companies), ICIJ offshore leaks, OpenSanctions	184K corporate entities, entity resolution across operators
Electricity markets	ENTSO-E, CAISO, PJM, MISO, ISONE, NYISO, AEMO, Nord Pool	4.3B price rows, 371M generation rows, hourly resolution
Climate & environment	FIRMS fire hotspots, VIIRS nighttime lights, Aqueduct water stress, Climate TRACE emissions, GRACE-FO water storage	9GB fire archive, 241M nightlight cells, 283K emitters
Geopolitical	UCDP conflict events, V-Dem democracy, WGI governance, Freedom House, SIPRI military, UNGA voting, OpenSanctions	316K conflict events, governance scores for 200+ countries
Economic	World Bank WDI, IMF WEO, FRED, Kummu GDP grids, Meta Relative Wealth Index, Comtrade trade flows	1.2B GDP observations, 621M poverty-mapped cells
Interconnection queues	LBNL US queue database	36K projects, completion rates by utility and technology
Nuclear fuel cycle	IAEA: PRIS reactors, UDEPO uranium deposits, NFCIS fuel facilities	715 reactors, 6K uranium deposits, 872 fuel facilities
Digital infrastructure	PeeringDB, PCH IXPs, submarine cables, CISA advisories	Internet exchange points, peering facilities, cable routes
Maritime & transport	AIS vessel tracking, airports, ports, cable-laying fleet	300M vessel positions, 85K airports, 3.6K ports

Region	Depth	Notes
United States	Deepest	Hourly prices (6 ISOs), EIA plant-level generation, LBNL queue (36K projects), state-level retail prices, county boundaries
Europe (EU/EEA + GB)	Deep	ENTSO-E prices/generation/flows (30+ zones), cross-border flow analysis, GLEIF corporate coverage
Australia	Deep	AEMO 5-state prices, generation dispatch, demand profiles
China	Moderate	160K+ generators, largest revenue pool ($288B), Climate TRACE emissions, nightlights. No hourly market data.
Japan, South Korea	Moderate	Generator fleet, PRIS nuclear, emissions. No hourly prices yet.
India, SE Asia, Middle East	Growing	Generator fleet, WRI plants, emissions, water stress, governance. Market data expanding.
Africa, Latin America	Foundation	Generator fleet, nightlights (electrification proxy), conflict events, development finance projects, governance scores

Capability	Bloomberg NEF	Wood Mackenzie	Kortex
Forward price curves / 30-yr forecasts	Yes	Best in class	No — not a forecasting tool
Analyst commentary, sector notes	Yes	Yes	No — data and queries, not opinions
Project pipeline tracking	Partial	Strong	160K generators, current state + queue
Hourly market data depth	Strong	Strong	4.3B price rows, 53 TSOs — comparable
Cross-domain graph traversal	No	No	Yes — this is the differentiator
Compound risk screens (water + carbon + queue + ownership)	Manual (weeks)	Manual (weeks)	Pre-built (seconds)
Corporate ownership → generator revenue	Partial	Partial	End-to-end GLEIF + entity resolution
Greenwashing detection with revenue split	Generic ESG	No	Asset-level fossil vs clean revenue per operator
Interconnection queue completion analysis	No	No	Utility-level completion rates, technology breakdown
Sanctions / offshore leaks / adverse entity	No	No	OpenSanctions + ICIJ integrated
API-first, machine-queryable	Terminal-centric	Lens Direct API	Native REST + Cypher graph queries
Vendor maturity	Bloomberg-backed	Verisk-owned	Early-stage (Orkora Ltd)

Positioning: BNEF and Wood Mackenzie sell market research, forecasts, and analyst expertise. Kortex sells the connective tissue between public datasets as a purely quantitative, programmable screening layer. It is designed to sit alongside existing subscriptions as a cross-domain signal generation tool, not to replace them.

API endpoints — 33 routes across 4 layers

Insights Layer (start here)

Graph Layer

Time Series Layer

Reference Layer

Data freshness

Target users

Quick start

Contact

Pilot programmes available. We recommend a technical demo session where we run Kortex queries against assets or regions you already know well, so you can validate outputs against your existing data.

Endpoint	What it answers
`GET /v2/insights/stranded-assets`	Generators at risk: retirement + water stress + carbon pricing + queue competition
`GET /v2/insights/greenwashing`	Operators with fossil vs clean revenue split — ESG credibility check
`GET /v2/insights/queue-blockage`	Utilities blocking interconnection — completion rates, active MW blocked
`GET /v2/insights/compound-vulnerability`	Triple-threat plants: water-stressed + carbon-priced + queue competition
`GET /v2/insights/weather-risk`	Weather-correlated renewable portfolios — geographic concentration risk
`GET /v2/insights/water-death-spiral`	Grids where thermal generators depend on disappearing water
`GET /v2/insights/hidden-demand`	Underserved substations — suppressed demand that would materialise with investment

Endpoint	Coverage
`GET /v2/grids`	364 grid zones with revenue, fuel mix, demand profiles, cross-border flows
`GET /v2/generators/search`	160K generators: filter by fuel, grid, revenue, water stress, retirement, operator
`GET /v2/operators/revenue`	$2.16T consolidated revenue across 16,694 operator groups
`GET /v2/graph/traverse/{label}/{id}`	N-hop traversal from any node — corporate chains, supply routes, grid topology
`POST /v2/graph/query`	Read-only Cypher queries against the full 7.4M-node graph

Endpoint	Coverage
`GET /v2/timeseries/prices/{tso_id}`	4.3B rows: 53 TSOs, hourly/daily/monthly, USD/EUR/AUD
`GET /v2/timeseries/generation/{tso_id}`	371M rows: dispatch by fuel type
`GET /v2/timeseries/demand/{tso_id}`	112M rows: demand profiles
`GET /v2/timeseries/interchange`	16M rows: US balancing authority flows

Endpoint	Coverage
`GET /v2/reference/countries`	791 country name aliases resolved to ISO codes
`GET /v2/reference/fuels`	Fuel taxonomy with generator counts and total MW
`GET /v2/reference/register`	Complete data register: every table, column, node type, edge type

Cadence	Sources
Real-time (5-min)	AIS vessel positions, ADS-B aircraft, USGS seismic events
Hourly	Electricity prices (6 US ISOs + AEMO + Nord Pool), EIA demand/generation
Daily	ENTSO-E prices/generation/flows, FIRMS fire hotspots, FX rates
Weekly	OpenSanctions, FRED economic indicators, Ember energy statistics
Monthly	Climate TRACE emissions, VIIRS nighttime lights, GRACE-FO water storage
Quarterly / annual	EIA-860/923, GLEIF bulk, Aqueduct water stress, LBNL queue, GEM trackers

User	Primary use case	Key endpoints
Infrastructure funds	Stranded asset screening, counterparty risk, deal origination	insights/stranded-assets, compound-vulnerability, operators/revenue
Development finance institutions (IFC, EBRD, ADB, UKEF, DFC)	Project risk assessment, electrification gaps, sovereign exposure, compound risk overlay	insights/hidden-demand, compound-vulnerability, grids, reference/countries
Reinsurers / catastrophe modellers	Compound hazard exposure on infrastructure assets, physical risk pricing	insights/compound-vulnerability, insights/weather-risk, generators/search
Commodity trading houses	Physical constraint analysis, supply-side risk, counterparty screening	timeseries/prices, generators/search, insights/water-death-spiral
TSOs / grid operators	Queue pressure analysis, system planning, demand forecasting	grids/{id}/operators, insights/queue-blockage, timeseries/demand
Hyperscalers	Data centre siting, PPA counterparty assessment, clean power sourcing	grids, generators/search, insights/greenwashing
Energy developers	Competitive landscape, interconnection strategy, market entry	generators/{id}/competitors, insights/queue-blockage, timeseries/prices
Intelligence / national security	Critical infrastructure mapping, supply chain vulnerability, entity screening	graph/traverse, graph/query, operators/search, reference/register
ESG / climate risk analysts	Greenwashing detection, physical risk overlay, transition risk quantification	insights/greenwashing, insights/stranded-assets, insights/water-death-spiral
Energy transition litigation	Evidence assembly: fossil revenue vs stated commitments, queue obstruction, environmental exposure	insights/greenwashing, insights/queue-blockage, operators/{name}/assets