The data layer for AI agents and data apps.

One marketplace for all data and all kinds of data apps. Verified open data, normalized at ingestion, ready for humans, machines, and AI agents.

Sources in, apps and agents out

autario sits between raw data and everything that uses it. The value is in the middle layer: the normalization and ontology that turn a dozen incompatible sources into one queryable surface.

Every source, one catalog: Open data from World Bank, IMF, Eurostat, FRED, OECD, WHO, ECB and the US Census, plus live market data and your own APIs and CSVs. One place instead of a dozen portals.
Normalized at ingestion: Every dataset is cleaned, schema-detected, and entity-resolved into a shared ontology. Shadow columns for time, geography, and value make cross-dataset joins just work. This is the part nobody else does.
Everything runs on top: Apps visualize, analyze, alert, and score on the normalized layer. An AI agent is just one more kind of app, reading verified data over MCP. The platform boundary is the public API: same way we build ours, same way you build yours.

Apps on the data layer

Ready-to-use data apps built on autario. Each one runs on the same normalized layer and public API that any developer or AI agent can build on.

Bubble or Not: Stock price against revenue, earnings, and shares for any company. Spot a bubble from the gap between price and fundamentals.
Screener: Rank and filter companies across fundamentals: revenue growth, margins, valuation, all from primary filings.
Chart Builder: Turn any dataset into a publishable chart in seconds. The first app built on the autario data layer, dogfooding the public API.

Browse all apps

The easiest way to give your LLM real data

autario is the easiest way to connect an AI agent to every data source at once, and the most token-efficient way to work with data in a prompt.

Connect to all data sources: One MCP endpoint reaches thousands of normalized datasets. No per-source integration, no schema guessing, no glue code.
A calculator for your LLM: The server does the math and verifies every number deterministically. Your model gets checked results back, not a hallucinated figure.
Token-efficient by default: Schema-first discovery and a compact wire format mean your agent spends tokens on reasoning, not on parsing raw JSON dumps.

Connect via MCP

One layer, many use cases

Stop cleaning, start analyzing: Pull verified series straight into Excel, Power BI, or a chart. Every number links back to its primary source, so the work is citable by default.
Build a data app in an afternoon: Query a normalized REST API instead of wrangling a dozen source formats. Ship your app on the same layer our own apps run on.
Verified data, no hallucinations: Connect any agent over MCP. It discovers the schema before it queries, so no invented column names, no token-burning dumps, no made-up numbers.
Custom data solutions: Need a private connector, a bespoke dataset, or an app built for your workflow? We build it on the same infrastructure. Reach out and let's scope it.

All the data, in one place

A marketplace of verified datasets, every one linked to its primary source with no hallucinated numbers. Cleaned, schema-detected, and entity-resolved into a shared ontology at ingestion. Filter by topic, source, or region. Download as CSV or query live via API.

Trusted sources. Real data. No hallucinations.

Normalized at ingestion: Every dataset is cleaned, schema-detected, entity-resolved and shadow-columned so cross-dataset joins feel like magic.
AI-native: MCP server for any AI agent. LLMs search, query, and publish charts with verified data. No training-data contamination.
Always fresh: A self-healing ingest engine refreshes sources nightly. Full-replace strategy means you always see the latest numbers.
Open by default: Public datasets are free. No login to browse or query. API keys only for publishing. Like GitHub, but for data.
Every claim verifiable: Sources from World Bank, IMF, Eurostat, OECD, WHO, FRED, US Census, SEC and more. Each dataset links to its primary source.
LLM-agnostic: No provider lock-in, no "Powered by X". Connect Claude, ChatGPT, Gemini, or any agent that speaks MCP.

Start building. No account required.

Open an app, explore the data, or connect your AI agent via MCP.