The regulatory search index AI compliance products run on

Source-backed search, change detection, provenance metadata, and audit trails over 12 US regulatory corpora - federal regulations, SEC, banking supervision, AML, consumer protection, and auditing - so your team builds the compliance logic, not the data infrastructure.


The market solved monitoring. Nobody solved retrieval.

Dozens of vendors push compliance teams alerts when rules change. Nobody built a pull-model, queryable search index an AI agent can call at runtime.

Human-readable
Machine-readable
Push

CUBE, Compliance.ai, Ncontracts, attorney feeds

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Pull

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RLVNCE


12 regulatory corpora, one search surface

Federal regulations, SEC guidance, banking supervision, AML, consumer protection, and auditing standards. Each corpus is indexed at the document level with structured attributes and citations.

Building this in-house: 2-4 engineers, $300K-$600K/year, $500K-$1.5M upfront before the first query returns a result. RLVNCE starts at $99/month. The delta is the close.



Integrate in hours, not months

REST API, MCP server, and client libraries. A developer with an API key can run a live query in under an hour.

Retrieval API

Relevance-ranked results with exact source URLs, canonical citations, and filters by regulator, document type, topic, and date.

Change Detection

Webhooks and cursor-based polling. Entity and topic watchlists. Know when rules your product depends on change.

MCP Server

The new expected interface for AI agents. Zero-friction integration for products built on agent frameworks.

search.ts
const results = await client.search('regulatory', {
  query: 'communications with the public',
  filters: { rule: 'FINRA 2210' },
});
Explore developer docs →

Start free, scale as you grow

Self-service from $0/month. Managed regulatory corpora from $99/month. Production SLA with 24-hour freshness from $1K/month.