Harmonised data
Listed companies' statements brought to 466 standard items in euros, comparable from one country to the next.
Financial data platform
All financial data, in one search
What we offer
Data, services, integrations: one platform.
Data
Free accessPlayers · Prices · Macro · Traffic · Climate
Services
Free demoCorporate and market finance
Integrations
API keyAPI · MCP · Excel
Our vision
“We want to see the market like the best”
Tomorrow, every decision will rest on an instant, contextual and augmented reading of the data. Argos wants to be that copilot, from the individual to the fund.
Financial data, ready for your decisions.
A world where the best financial decision is no longer reserved for those with the best address book.
Argos provides information and analysis tools, not investment advice.
claude.ai · Argos (MCP)
Agent · Argos MCP server
OnlineHow many companies are there in the Restaurants sector in Italy?
Argos in numbers
One platform to see the whole market.
The depth of coverage behind every analysis, from listed markets to SMEs, from macro to deals.
Counted on 2 October 2026
Companies
Scope
Market
48,479Listed companies94 countries
18.7 MPrivate companies25 countries
3,959M&A transactions112 target countries
142Countries coveredcompanies and macro
84Sectors16 major sectors
243Macro indicators142 countries
3,485Market seriesFX, commodities, indices, rates
Wide coverage
Official registries of 25 European countries for private companies, 94 countries for listed ones, 142 for macro.
Continuously updated
Prices and macro indicators refreshed continuously; registries reloaded with each vintage (latest: 18 Sept 2026).
Who we are
Financial data, ready for your decisions.
The fintech putting institutional-grade financial analysis into everyone's hands, from the individual to the fund.
Argos was born in the field of M&A. As analysts, we spent our days rebuilding valuations, benchmarks and reports by hand, from expensive, scattered and slow data.
Meanwhile, AI was upending finance, but without method: everyone plugged in a chatbot without mastering either the data or its interpretation.
We decided to build the tool we would have wanted: an engine that integrates the whole chain, from raw data to decision, with AI at its core.
It all started from a frustration: rebuilding data by hand instead of analysing it. Argos was born from that.
Guillaume Bouillard & Azad HosseiniCo-founders of Argos
How it works
Millions of raw data points, reliable and readable analyses.
Under the hood: the architecture, data pipeline, calculation engine and AI layer, each at a precise point of the flow.
- 01
Interface
Bilingual Next.js / React application, server rendering.
- 02
API & services
Authenticated, stateless routes: REST API and MCP server.
- 03
Calculation engine
Deterministic harmonisation and ratios, server side.
- 04
Data
Columnar analytical base: millions of rows in seconds.
- 05
AI layer
Analyses anchored in the database, sources cited.
Next.jsApplication
ReactInterface
TypeScriptStrict typing
Node.jsServer side
API REST/api/v1
MCP serverAgent tools
DuckDBColumnar base
PostgreSQLAccounts, quotas
StripeSubscriptions
Methodological framework
Our method, end to end.
Accounting, financial analysis: the framework behind every figure Argos produces. Everything is documented, from the chart of accounts to the ratios.
The framework is written in French; it is shown as published.
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Cadre méthodologique de comptabilité
2 sections
Contact
Let's talk.
A question, a demo, a partnership: we read everything and answer fast.