REST API
Production-grade REST endpoints for entity enrichment, claims intelligence, and underwriting data. Batch and real-time. JSON in, structured intelligence out.
Developers
Whether you're integrating via REST API, connecting through Model Context Protocol, or building autonomous agent workflows, Carpe meets your engineering team where they are.
JSON APIs for production workflows
MCP and ACP-ready for AI-native architecture
Enterprise integration patterns for carrier systems

Integration modes
From enterprise integration teams to AI-native builders, Carpe exposes insurance intelligence in the form that makes adoption easiest.
REST API
Production-grade REST endpoints for entity enrichment, claims intelligence, and underwriting data. Batch and real-time. JSON in, structured intelligence out.
MCP Server
Connect Carpe as a Model Context Protocol server. Your AI agents get direct access to insurance intelligence, entity lookups, risk signals, claims context, as native tool calls.
CLI Tools
Ship faster with `carpe-cli`. Query entities, run enrichment jobs, and pipe results into your existing data pipelines from the command line.
Agent Frameworks
Build autonomous insurance workflows with LangChain, CrewAI, AutoGen, or any ACP-compliant agent. Carpe provides the tools, context, and structured output agents need.
Code examples
The same intelligence foundation can power Python services, TypeScript copilots, and command-line workflows without forcing your team into one integration pattern.
Python
# Python — Entity Enrichment
from carpe import CarpeClient
client = CarpeClient(api_key="your-key")
result = client.enrich(
entity="Meridian Construction LLC",
modules=["business", "web", "risk"]
)
print(result.risk_summary)Legacy or next-gen
Some teams are wiring Carpe into long-standing carrier systems. Others are designing agent workflows from scratch. Both should work.
Enterprise integration
Batch files, webhooks, SFTP, and system-to-system APIs still matter. Carpe fits into your current carrier stack and makes it smarter without forcing a rip-and-replace motion.
Your existing stack, enhanced with Carpe intelligence.
AI-native architecture
Build with Model Context Protocol, wire Carpe into autonomous workflows, and let your agents consume structured insurance-grade signal as native tools instead of screen-scraped glue.
Your AI agents, powered by insurance-grade signal.
Security & compliance
Insurance engineering teams still need governance, defensibility, and deployment discipline. Carpe is designed to support technical evaluation and enterprise scrutiny at the same time.
Talk with Carpe about APIs, implementation patterns, MCP access, or the fastest path from proof-of-value to production workflow.