What is PreReason?
PreReason provides financial-market context to AI agents and developers through a REST API and MCP server. Its briefings cover macroeconomics, rates, bonds, foreign exchange, commodities, companies, Bitcoin and other markets, combining figures with trends, momentum, percentile rankings, correlations and regime classifications. Responses are available in Markdown or JSON, with figures dated and sources named. Developers can connect compatible agents or use the API to retrieve market information without integrating each data provider separately.
PreReason Features:
Cross-Market Briefings: A single call can return context across macro, rates, bonds, foreign exchange, commodities, companies and Bitcoin, drawing on 36 data providers.
Interpreted Metrics: Briefings can include trend direction, 7-, 30- and 90-day momentum, percentile rankings, cross-asset correlations and regime classifications alongside figures.
Dated Sources: Figures are dated and their sources named, helping agents and developers trace the context behind a market reading.
Markdown and JSON: The same briefing is available in Markdown or JSON, for use with different LLMs, agent frameworks and programmatic workflows.
API and MCP: Developers can access briefings through a REST API or MCP server, with support for Claude Desktop, Claude Code, Cursor and Windsurf.
Plan-Based Access: Plans offer different call limits, briefing collections, metric coverage and history, from a free tier to Business and Enterprise options.
PreReason Benefits:
Less Data Plumbing: Teams can spend less time connecting individual market data providers because multiple sources and metrics are assembled into one briefing.
Faster Market Context: Trend and momentum summaries give agents a prepared view of recent changes instead of leaving them to interpret raw figures alone.
Easier Verification: Dates and named sources make it easier to check when a figure was reported and where it came from.
Flexible Workflows: Markdown and JSON output lets teams use the same market context in readable reports or structured agent workflows.
Scale With Demand: Several plan levels let users choose call limits, history and briefing access that suit their market-data workload.
Use Cases:
Agent Market Research: Connect an MCP-compatible agent to retrieve market context while researching how economic releases or asset trends relate to a question.
Bitcoin Monitoring: Use Bitcoin briefings to check price momentum, network health, liquidity, ETF flows or correlations with equities and the dollar.
Macro Brief Preparation: Build a recurring overview of US liquidity, Treasury yields, economic releases and central-bank decisions for an internal research workflow.
Commodity Analysis: Compare commodity fund prices with related measures such as futures positioning, dollar strength or other assets in a market briefing.
Programmatic Market Tools: Use the REST API to add dated market readings and interpreted metrics to a financial research application or automated workflow.