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Regulatory data, in the shape you already build with.

MCP for AI-native surfaces, REST for database-level reads, webhooks for event fan-out, and flat file exports for batch pipelines. Pick the interface your product already speaks. The same production feed, 6.6 million alerts strong, sits behind every path.

Request sandbox access

Quickstart: MCP in minutes

The fastest path from nothing to live regulatory data is the MCP server. It runs locally, authenticates with your sandbox key, and registers tools that any MCP-compatible client (Claude Desktop, Cursor, ChatGPT, your own agent) can call directly. Three steps in the quickstart guide: install the package, set your API key, run the server. Full instructions and copy-paste commands at docs.regalytics.ai.

Or use REST if you prefer

Every endpoint is a POST with your API key in the body. Results come back paginated (25 per page) with stable IDs and full metadata. The full schema reference, with sample payloads for every endpoint, lives at docs.regalytics.ai. SDKs for TypeScript and Python wrap the API surface in a single import.

Four delivery paths, one feed

MCP server. Drop-in tool surface for AI agents. Ideal for copilots, research flows, and conversational compliance features.

REST v3. Stable, versioned JSON API. Search, list and detail endpoints with rich filter expressions.

Webhooks. HMAC-signed event pushes with subscriber-level filters. Fire once on a new alert, once on update, or both.

Flat file. Scheduled CSV or Parquet drops to S3 or SFTP. The right shape for warehouses and batch pipelines.

SDKs, samples, and everything else you expect

First-class clients in TypeScript and Python, community-maintained clients in Go, Ruby, Java and C#. Every client wraps the same versioned contract so you can switch languages without rewriting the filter logic.

TypeScript / JavaScript

Type-safe search_options, pagination helpers and webhook signature verification out of the box.

npm install @regalytics/sdk

Python

Pydantic models for every response type, async client, and a regalytics.sandbox helper for scoped eval keys.

pip install regalytics

Docs

Full API reference, MCP guide, authentication, rate limits and a versioned changelog. Searchable, example-heavy, regenerated on every release.

docs.regalytics.ai

Built to sit under production

99.9% uptime

Measured and published against the v3 endpoints and the MCP server. Historical numbers live on the status page.

v3 versioned

Stable, semver-aligned schema. Breaking changes ship with a minimum 12-month deprecation window and a migration guide.

Minutes freshness

Window from regulator publication to alert available in the feed. Faster on priority sources.

RegAlytics Branding

Request sandbox access.

Zero-commitment evaluation. We provision a key within hours with every production endpoint unlocked against a scoped dataset. Tell us which sectors and jurisdictions you want enabled and we will set it up before your next stand-up.

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