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Maritime · head to head

Vortexa vs Wood Mackenzie Lens

Vortexa logo

Vortexa

Maritime

Real-time seaborne energy cargo flow data sold as a subscription to a feed, not an application

From
On request
Rated
-
Full reviewWebsite
Wood Mackenzie Lens logo

Wood Mackenzie Lens

Energy

Subscription research data and analytics covering oil, gas, power, renewables and mining assets

From
On request
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Vortexa cargo attribution is inference from AIS, imagery and pattern analysis, not measurement, so grade and volume figures carry an error band that matters if you size a position on them and the vendor cannot fully quantify it for every route.; Wood Mackenzie Lens licensing is per named seat and per dataset, so sharing a login across an analyst team breaches the contract and licensing the team properly multiplies the fee rather than adding to it.
  • They diverge on capability: Vortexa covers Cargo-level flow tracking, Wood Mackenzie Lens covers Upstream asset data.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Vortexa and Wood Mackenzie Lens actually diverge.

Attributes where Vortexa and Wood Mackenzie Lens differ
AttributeVortexaWood Mackenzie Lens
PlatformsWeb, Cloud, APIWeb, API
CategoryMaritimeEnergy

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Vortexa

  • Cargo-level flow tracking
  • Multi-commodity coverage
  • Floating storage analytics
  • API, Excel and Python access
  • Anywhere Freight Pricing
  • Satellite and AIS fusion

Only in Wood Mackenzie Lens

  • Upstream asset data
  • Power and renewables
  • Metals and mining
  • Gas and LNG
  • Energy transition scenarios
  • Emissions data
  • Lens Direct
  • Scenario and portfolio tools

What people use each for

The jobs each tool is most often brought in to do.

Vortexa

  • A crude trading desk sizing a position on inferred cargo flows into a region before customs data confirms them weeks laternot Wood Mackenzie Lens
  • A shipowner assessing tonne-mile demand and ballast patterns to decide where to reposition vesselsnot Wood Mackenzie Lens
  • A refiner tracking competing product cargoes arriving into its market to anticipate margin pressurenot Wood Mackenzie Lens
  • A research team pulling flow data into Python models rather than reading a vendor dashboardnot Wood Mackenzie Lens

Wood Mackenzie Lens

  • A corporate development team screening acquisition targets against independent asset economicsnot Vortexa
  • A lender or investor testing a project sponsor case against third-party cost and production estimatesnot Vortexa
  • A strategy team building long-term scenarios that need consistent cross-commodity assumptionsnot Vortexa
  • A trading or origination desk that needs asset level supply data pulled into its own models through the APInot Vortexa

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Vortexa

  • Cargo attribution is inference from AIS, imagery and pattern analysis, not measurement, so grade and volume figures carry an error band that matters if you size a position on them and the vendor cannot fully quantify it for every route.
  • What you buy is a feed rather than an application, so a firm without quantitative capability to consume it gets far less value than the subscription costs, and the terminal alone rarely justifies the price.
  • Pricing is by seat and by data scope with nothing published, so cost scales with how many analysts need access, which discourages exactly the broad internal distribution that would make the data useful.
  • It overlaps materially with other commodity flow subscriptions and price reporting services, and most desks that buy Vortexa are paying twice for a partly duplicated picture.
  • Coverage quality varies by trade and region; dark fleet activity, ship-to-ship transfers and sanctioned trades are the hardest cases and also the ones where accurate data is worth the most.

Wood Mackenzie Lens

  • Licensing is per named seat and per dataset, so sharing a login across an analyst team breaches the contract and licensing the team properly multiplies the fee rather than adding to it.
  • The content is analyst-modelled rather than operator-reported, so asset economics and reserve figures are estimates and can differ materially from what the owner of the asset publishes.
  • Modules are split by commodity and by region, and a question that spans gas and power, or Americas and EMEA, can require two or three separate subscriptions to answer.
  • Content refresh follows the research publication calendar, so individual asset records can lag a transaction or a project decision by a quarter or more, which matters on live deals.
  • Ownership passed from Verisk to Veritas Capital in 2023, so buyers signing multi-year terms are contracting with a private equity holding whose plans for pricing and packaging are not public.

Pricing, plan by plan

Vortexa

On request
  • Vortexa$undefined/year
    • Subscription priced by seat and by data scope
    • API, Excel add-in and Python SDK access licensed separately from terminal seats
    • Commodity coverage selectable, crude, products, LPG, LNG

Wood Mackenzie Lens

On request
  • Lens subscription$undefined/year
    • Quoted per dataset and per named user
    • Regional variants of a module are priced as separate subscriptions
    • Lens Direct API access licensed on top of platform access

Which should you pick?

Choose Vortexa if

  • You need cargo-level flow tracking.
  • You work on Web, Cloud, API.
  • You also want multi-commodity coverage.
Vortexa review

Choose Wood Mackenzie Lens if

  • You need upstream asset data.
  • You work on Web, API.
  • You also want power and renewables.
Wood Mackenzie Lens review

Questions people ask

Is Vortexa or Wood Mackenzie Lens better?
Neither clearly leads. Vortexa starts at On request and Wood Mackenzie Lens at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Vortexa or Wood Mackenzie Lens?
Vortexa starts at On request and Wood Mackenzie Lens at On request.
Does Vortexa or Wood Mackenzie Lens run on more platforms?
Vortexa runs on Web, Cloud, API. Wood Mackenzie Lens runs on Web, API.
What is Vortexa best used for?
Vortexa is most often used for a crude trading desk sizing a position on inferred cargo flows into a region before customs data confirms them weeks later, a shipowner assessing tonne-mile demand and ballast patterns to decide where to reposition vessels, a refiner tracking competing product cargoes arriving into its market to anticipate margin pressure, a research team pulling flow data into python models rather than reading a vendor dashboard. Of those, a crude trading desk sizing a position on inferred cargo flows into a region before customs data confirms them weeks later and a shipowner assessing tonne-mile demand and ballast patterns to decide where to reposition vessels are not what Wood Mackenzie Lens is typically brought in for.
What can Vortexa do that Wood Mackenzie Lens cannot?
Vortexa covers Cargo-level flow tracking, Multi-commodity coverage, Floating storage analytics, API, Excel and Python access. Wood Mackenzie Lens covers Upstream asset data, Power and renewables, Metals and mining, Gas and LNG.

Answered from the vendors’ own pages

Vortexa: Is Vortexa an application or a data feed?

Fundamentally a data feed. There is a web terminal, but the API, Excel add-in and Python SDK are how most subscribers actually use it.

Wood Mackenzie Lens: Am I buying software or research?

Research. Lens is the delivery platform for Wood Mackenzie analysis, and the analysis is what the price reflects.

Vortexa: Are the cargo volumes measured or estimated?

Estimated. Vortexa infers cargo, grade and volume from AIS, satellite imagery and pattern analysis. Treat the numbers as estimates with an error band.

Wood Mackenzie Lens: Who owns Wood Mackenzie?

Veritas Capital, which acquired it from Verisk in 2023.

Vortexa: How is it priced?

By seat and by data scope, quoted annually. Redistribution and derived-data rights are negotiated separately and matter for internal use.

Wood Mackenzie Lens: Can a team share one licence?

No. Licences are per named user, and sharing breaches the subscription terms.

Vortexa: Does it cover LNG and LPG as well as oil?

Yes, alongside crude and refined products, though commodity scope affects what you pay.

Wood Mackenzie Lens: Can I get the data into my own models?

Yes, through Lens Direct, which is licensed separately from platform access.

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