Intercepta AI connects to any AI agent via MCP or REST API. Every piece of content your agentic workflows produce gets validated before it is published.
AI agents are writing emails, generating ad copy, drafting social posts, and publishing landing pages autonomously, at scale, across every channel. By end of 2026, 40% of enterprise applications will embed AI agents (Gartner). The EU AI Act, applicable from August 2026, requires disclosure when content is AI generated and imposes transparency obligations across regulated sectors.
The content these agents produce is subject to the same FTC, FINRA, SEC, HIPAA, and FDA rules as content written by humans. Most agentic architectures have no compliance checkpoint. Intercepta AI is this checkpoint.
MCP Server — best for agent frameworks that support Model Context Protocol (Claude, LangChain, CrewAI, AutoGen, custom). Register Intercepta AI as an MCP tool. Your agent calls Intercepta_pipeline_check with content and context. Gets back a structured verdict with citations and rewrites.
REST API — best for any orchestration layer, any language, any framework. POST to /api/compliance/pipeline-check from your orchestrator.
Intercepta_pipeline_check — create a content item and run a multi-stage compliance pipeline check in a single call. Supports progressive rule filtering (industry → category → rule sets).
Intercepta_trace — retrieve the full audit trace for a compliance check: verdict, risk level, confidence, per-stage timing, and per-rule chain with source-location breadcrumb.
Plus Intercepta_review_queue, Intercepta_analytics, Intercepta_rules_stats, Intercepta_agents, Intercepta_audit_stats, and notification rules as a resource.
Pre-publish gate — Content Agent → Intercepta scan → safe = publish; high risk = human review queue.
Autonomous fix loop — Content Agent → scan → findings → rewrite → re-scan → publish.
Multi-agent compliance committee — Intercepta (regulatory) + Brand Agent + Legal Agent → orchestrator aggregates.
Continuous post-publish monitoring — Publish Agent posts → async scan → if rules change or new findings → Alert Agent triggers review or takedown.
Audit trail by default — every agent action, every scan request, every verdict is logged. Dynamic permissions — context-aware access control. Agent interoperability — MCP is backed by Anthropic, OpenAI, Google, Microsoft, AWS through the Agentic AI Foundation.
Rule coverage: 800+ rules, continuously updated. Regulatory expertise: encoded by domain experts (FINRA, SEC, FDA, FTC, HIPAA). Latency: sub-second, purpose-built. Audit trail included. MCP support ready to register. Time to first scan: minutes.
MCP — Live. REST API — Live. Webhooks — Live. A2A (Agent-to-Agent) — Planned (Q4 2026).
Get an API key on /developers or talk to us about orchestration.