Nopp Launches Entity Graph API with 330M+ Verified Records to Combat AI Agent Hallucinations
Key Takeaways
- ▸Nopp's Entity Graph addresses a fundamental problem in AI agent reliability: the lack of verified, authoritative ground-truth data for B2B entities, reducing hallucination and fabrication risks
- ▸The platform integrates 330M+ verified records from official sources (NPPES, state licensing boards, corporate registries) with deterministic verification rather than inference or web scraping
- ▸Multi-module architecture includes identity resolution, data enrichment, signal detection (hiring, funding, intent), and autonomous agent capabilities—available via API and MCP Server integration
Summary
Nopp, an AI infrastructure startup, has unveiled its Entity Graph API, a comprehensive identity verification system containing over 330 million verified records designed to address a critical problem: AI agents hallucinating or fabricating B2B data due to lack of ground truth. The system pulls data from authoritative sources including NPPES practitioner records, 40+ state licensing boards, and regulatory filings—all deterministically verified with no scraping or inference involved.
The platform offers four core API modules: an Entity Graph for identity resolution and professional searches, Intelligence tools for company and contact enrichment, Signals for detecting hiring surges and funding rounds, and autonomous agent capabilities for research and outreach. The service is priced in "Intelligence Credits" (IC) and is also available as an MCP Server for seamless integration with Claude, ChatGPT, and other agent frameworks.
The founder is actively seeking developer feedback through public beta testing, offering free Intelligence Credits to users who identify reproducible bugs or schema issues. This approach reflects both the startup's commitment to product quality and the growing recognition that reliable, verified data infrastructure is essential as AI agents become more autonomous in business operations.
- Public beta testing approach with bounty-style incentives (free credits for bug reports) demonstrates founder confidence and creates developer-driven quality validation
Editorial Opinion
Nopp is tackling a genuinely important infrastructure problem that has become more critical as AI agents move from prototypes to production use in business operations. The emphasis on deterministic verification rather than inference-based enrichment is refreshing and necessary—AI systems operating in financial, legal, and professional services contexts cannot afford to hallucinate entity identity. However, the real test will be whether the 330M+ record base achieves sufficient coverage for diverse use cases, and whether the MCP Server integration truly eliminates friction for developers building agent workflows.
