Sacra: Premium Private Market Research as Agent-Ready Infrastructure
Sacra has established itself as the leading provider of "agent-ready infrastructure" for private market intelligence. By unbundling its high-quality, proprietary financial datasets and analyst reports on pre-IPO, growth-stage, and early-stage companies, Sacra has bypassed the traditional web-search interface to deliver structured data directly into autonomous AI workflows.
The Problem of Web Search for Private Companies
Traditional search-based AI research tools struggle heavily with private market intelligence. Because private companies are not subject to public reporting requirements, web searches for their fundamentals (such as revenue, valuation, and margins) yield SEO spam, outdated estimates, or hallucinated figures.
As Jan-Erik Asplund, co-founder of Sacra, notes:
"If you research private companies with AI today, you mostly get SEO spam.1 Marketers create endless pages about companies—often without any real data—just to rank on search... AI models that lean on web search end up pulling from that garbage. Garbage in, garbage out." — Introducing Sacra MCP connector for Claude
The Sacra MCP Connector
To solve this, Sacra built a dedicated Model Context Protocol (MCP) connector, initially launched for Claude and later expanded to ChatGPT and Claude Code2. The Sacra MCP connector allows AI agents to directly query Sacra’s structured database to:
- Retrieve company profiles, comprehensive datasets, and funding rounds.
- Extract paragraph-by-paragraph contents of analyst research reports.
- Search across all Sacra documents with high-precision semantic queries.
- Pull real-time private market news and coverage updates.
Technical Architecture: Stytch-Powered Agent Authentication
A major barrier to agentic data access is authentication. Traditional B2B SaaS auth systems are designed for human-in-the-loop interactions and fail when autonomous agents attempt to connect, rotate credentials, or transition across environments.
To provide a seamless "agent-ready posture," Sacra standardized its authentication stack on Stytch Connected Apps3. This architecture delivers several key advantages:
- Predictable MCP Registration and Resets: Stytch handles OAuth and Dynamic Client Registration (DCR) for Standalone Connected Apps. This allows developers and AI agents to register and reset the MCP server URL predictably without encountering cached credential errors or authentication locks.
- Unified B2B/Consumer Identity: Stytch merges individual subscribers and firm-level enterprise members into a single identity model. Sacra transitioned its backend from a consumer-focused model to a multi-tenant B2B model without modifying any of its agentic MCP flows.
- Robust Paywall Metering: To prevent agents from scraping proprietary data without authorization, Sacra utilizes Stytch's device fingerprinting. This enables fair metering for free readers (e.g., five free articles per device) and hardens the paywall against automated evasion without introducing friction for legitimate human or agentic subscribers.
Pricing and Business Model
Sacra operates a multi-tiered subscription model targeting individual angel investors, venture capital firms, and institutional researchers:
- Standard ($50/month): Basic access to private market company profiles and metrics.
- Pro ($350/month): Includes deep-dive research reports, funding histories, and full access to the Sacra MCP connectors for Claude and ChatGPT.
- Platform ($1,500/month) / Enterprise: Custom API integration, high-volume programmatic data access, and tenant-level single sign-on (SSO) or multi-factor authentication (MFA).
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An instance of Open-web search collapses as generative engine optimization poisons the public retrieval index. — The poisoned open-web index is the explicit reason buyers flee to verified proprietary data layers. ↩︎
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An instance of Proprietary data must unbundle into standardized protocol endpoints to reach model-agnostic AI orchestrators. — Proprietary private-market data unbundles into MCP endpoints reachable by model-agnostic agents. ↩︎
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An instance of Identity infrastructure must now issue credentials to machines, not humans. — OAuth and credentialing are rebuilt around autonomous agents rather than human-in-the-loop users. ↩︎