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Lava

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A-share news-flow heat via API, MCP and Agent Skill. Structured, read-only market-attention data for AI agents and quant research.

Open banking and data · B2B · API

Markets: China

Lava MCP delivers A-share stock and concept-board news-flow heat as structured, read-only data. Access it through a remote MCP server (Streamable HTTP + API key), a REST API with an OpenAPI spec, or a ready-made Agent Skill for AI coding agents. Built for quant researchers and developers building finance agents (量化交易必备). Freemium: free starter credit on signup, then pay per call. GitHub: https://github.com/dustinliang666-blip/lava-mcp

Website

Agent access

API
Available
API documentation
Open
OpenAPI spec
Open
Auth method
API key
MCP server
https://lava.ai-dolphin.com/subscribe/v1/mcpTry it

Provided by the company

Agent-Ready 3/5

  • Discoverable — Can an agent find and read it?Found
  • Documented — Can it understand the API without a login?Found
  • Testable — Can it try the API without a sales call?Not found on 3 November 2026
  • Connectable — Can it connect directly (MCP)?Found
  • Trusted — Can it see who runs it securely?Not found on 3 November 2026

Not in our registers

Standard v0.1.1 · checked 3 November 2026

How we checkSomething wrong? Send the URL

Provided by the company · Source

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