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Kensho

Deterministic retrieval of S&P Global financial data for AI workflows

Finance

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About Kensho

Kensho is an AI-powered solution that enables deterministic retrieval of S&P Global financial and business data for integration into LLMs, agents, and AI applications. It provides targeted, API-driven access to datasets such as S&P Capital IQ Financials, Earnings Call Transcripts, Company Intelligence, Private Company Financials, and more.

Key Benefits

  • Deterministic retrieval of S&P Global datasets
  • API-driven access for LLMs and AI workflows
  • Integration with Claude, ChatGPT, and Microsoft Copilot via MCP
  • Support for S&P Capital IQ Financials, Earnings Call Transcripts, Company Intelligence, Private Company Financials, Key Developments, and Professionals datasets
  • Source citations for auditability
  • Python SDK and SQL-like query interface
  • Interactive charts and visualizations in AI chat interfaces (beta)

Use Cases

  • Company research
  • Financial analysis
  • Peer benchmarking
  • Competitive analysis
  • Event intelligence and news analysis within AI workflows

Pros

  • Deterministic, consistent data retrieval
  • Comprehensive S&P Global dataset coverage
  • Seamless integration with major LLMs and AI platforms
  • Auditable results with source citations
  • Interactive visualizations in AI chat interfaces (beta)

Cons

  • Requires setup and authentication via Okta
  • Some integrations limited to specific account types or roles
  • Interactive MCP Apps currently in beta for select customers

Integrations

Claude (via MCP)ChatGPT (via MCP)Microsoft Copilot (via MCP)Python SDKCustom AI applications via API and MCP