"Semantic Scholar" matching MCP connectors:

Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.

Semantic search over Nordic filings, press releases, macro data and electricity prices.

DeFi yields, staking routing, semantic research & security intel via x402 micro-payments on Base

Primary Purpose: Resolves real-time pricing, token-costs, and unit-efficiency for 500+ AI/SaaS providers. Key Capability: Normalizes disparate billing units (GPU Hours, Credits, 1M Tokens) into a standardized "Cost-per-Generation" metric. Context: Essential for agents performing "Cost-Benefit Analysis" or "Automated Model Switching." Accuracy: March 2026 Ground-Truth (Verified via Exa Semantic Search).