World Monitor
Pricing
- Model
- Free
Summary
By the time a geopolitical signal reaches your Bloomberg terminal or morning briefing, the trade has already moved — World Monitor is built for the gap between raw signal and consensus note.
The dashboard fuses shipping AIS data, chokepoint disruption scores, country instability indexes, macro markets, weather events, and news velocity onto a single live map — no account, no configuration. The correlation engine is the differentiator: it surfaces when geopolitical pressure, a physical transmission path, and price action are moving together, which is precisely the moment that matters. The tool works well as a single-screen triage surface for analysts who need to ask 'is something happening' before committing to deeper research. Where it stops is depth: it aggregates and fuses, but does not let you run custom correlation queries, backtest signal combinations, or export raw data in bulk. Teams that need programmatic access beyond dashboard observation can build on the REST API, npm, PyPI, Go, and RubyGems packages the vendor exposes.
Bottom line: Pick this when you need zero-friction situational awareness across geopolitics and markets in one screen — plan a different architecture when your workflow requires custom signal weighting, historical backtesting, or data export at scale.
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Pros
Sign in to edit- Zero-friction access with no account or configuration required, so an analyst can open the dashboard during a breaking event and reach signal context in seconds rather than waiting on procurement or provisioning.
- Correlation engine fuses geopolitical pressure, physical transmission paths, and market price action into a single view, which means the connection between a chokepoint disruption and an energy asset move is visible before it becomes a published research note.
- Fused country instability scores backed by 12 cited signals per country, so analysts get a sourced, auditable number rather than an opaque vendor risk index they cannot interrogate.
- Open-source AGPL-3.0 license with build packages across REST, npm, PyPI, Go, and RubyGems, so developers can embed signal feeds into internal tools without depending on a vendor's proprietary data contract.
- 56 map layers spanning shipping, weather, infrastructure, conflict, and markets on one surface, so teams stop context-switching between AIS platforms, news terminals, and macro dashboards during a fast-moving event.
Cons
Sign in to edit- The dashboard is built for observation, not query — analysts who need to filter by custom signal weights, define their own correlation thresholds, or answer 'what happened last time Bab el-Mandeb scored above 70' hit a hard wall in the UI. At that point, teams either build a custom layer on the API or switch to a paid intelligence platform that exposes historical datasets with query interfaces.
- Bulk data export is not described anywhere in the scraped page content, which means quantitative teams running systematic macro or risk models cannot pull structured time-series data directly from the dashboard. They must build and maintain their own ingestion pipeline from the API packages — adding engineering overhead that eliminates the zero-friction advantage for this use case.
- The AGPL-3.0 license is a hard stop for teams embedding the tool in a closed commercial product. Any derivative work must be released under the same license, so organizations with proprietary internal tooling that want to wrap World Monitor's API output need legal review before proceeding or must treat the API as a data source rather than a code dependency.
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About
- Platforms
- Web
- API Available
- Yes
- Self-Hosted
- No
- Last Updated
- 2026-07-28T18:18:20.758Z
Best For
Who it's for
- Analysts needing one-screen visibility across geopolitics, trade and markets
- Users requiring immediate map access without accounts or configuration
- Developers building on open REST API, npm, PyPI and other packages
What it does well
- Monitor geopolitical and supply-chain risk in real time
- Track commodity and energy market reactions to physical disruptions
- Observe AI infrastructure exposure to grid and climate events
- View fused country instability scores with cited headlines
Integrations
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Frequently Asked Questions
- Is World Monitor free?
- Yes — World Monitor is fully free to use. There is no paid tier.
- Is World Monitor open source?
- Yes. World Monitor is open source.
- Does World Monitor have an API?
- Yes. World Monitor exposes a developer API. See the official documentation at https://worldmonitor.app for details.
- What platforms does World Monitor support?
- World Monitor is available on: Web.
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Curated lists that include this category
Most intelligence workflows fail at correlation, not collection — feeds exist everywhere, but aligning a Red Sea chokepoint score with WTI crude and a currency pair on the same surface requires stitching together tools that were never designed to talk. World Monitor addresses that gap by streaming 500-plus curated feeds from 65-plus data providers across geopolitics, shipping, macro markets, commodities, weather, infrastructure, and cyber events onto a single map interface. The core workflow is passive but high-bandwidth: the dashboard continuously ingests signals, runs a correlation engine that flags when RISK, FLOW, MACRO, and PRICE layers converge, and surfaces a fused country instability score alongside cited headlines — all without requiring a login.
The correlation engine is what separates this from a feed aggregator. The vendor describes three distinct analytical lenses — geopolitics plus markets plus macro, commodities plus chokepoints plus weather, and AI infrastructure plus energy plus climate — each of which layers physical disruption signals against the market instruments most likely to reprice from that disruption. A chokepoint score for Bab el-Mandeb sits next to Brent crude and shipping equity names; a country instability index for Iran sits next to the USD/JPY rate. The signal-to-insight chain is compressed into a single screen rather than distributed across three analyst tools.
The tool fits analysts and developers who need immediate situational awareness without a procurement cycle or configuration overhead — the vendor states it loads without signup in seconds and is licensed AGPL-3.0. Where it breaks is depth of manipulation: the dashboard is read-optimized, not query-optimized. Analysts who need to weight their own signals, run historical correlation queries, or export structured data for downstream modeling will reach the ceiling of the UI quickly. At that point, the REST API, MCP, npm, PyPI, Go, and RubyGems packages become the relevant surface — but using them means building and maintaining a custom data layer, which is a different engineering commitment than opening a browser tab.