Abel

Abel is a web-based live causal intelligence platform for researchers, traders, builders, and businesses analyzing financial markets, macro signals, and pricing decisions.

Key capabilities include:

• A live causal world model spanning 200,000+ financial and macroeconomic variables, represented as an executable causal graph with millions of spatiotemporal nodes and causal edges
• Daily structure refresh plus hourly prediction updates to keep causal relationships and forecasts current
• Causal explanation and simulation to support planning and decision-making, including “what-if” analysis via interventions (do-operations) and counterfactual reasoning
• Directed causal edges with statistics, including β coefficients, time lags (τ), and p-values, designed to surface relationships that correlation-only tools can miss

Pricing: Unknown.

What makes it notable: it focuses on causal inference (association, intervention, counterfactual) rather than next-token prediction, and it offers both a human-facing app for natural-language causal questions and a developer platform with REST API, Python SDK, and MCP server for agent tool-calling and high-throughput causal queries.