cyberneticlibrary
← library

Research competitors with citations

exa-researchskillsetup L2★465
blockrunai/blockrun-mcp ↗
What it does

Search web semantically with neural ranking and citations

Best for

Finding cited academic papers, discovering competitors via semantic similarity, or extracting factual answers grounded in real web sources rather than training data.

Inputs
  • · [object Object]
  • · [object Object]
  • · [object Object]
Outputs
  • · [object Object]
  • · [object Object]
  • · [object Object]
Requires
  • · blockrun_exa MCP tool
  • · Exa neural search API
  • · Optional domain restrictions
Preconditions
  • · blockrun_exa tool available in MCP client
  • · Network access to Exa API
  • · USDC wallet or x402 payment setup
Failure modes
  • · Query too vague (no semantic match)
  • · URL returns 404 or bot-blocked content
  • · Category filter yields no results
  • · High API cost for large batch content fetch (100+ URLs)
Trust signals
  • · Path-based MCP tool (blockrun_exa, v0.14.1+)
  • · Explicit cost table ($0.01/search, $0.002/URL for contents)
  • · Valid category values enumerated (news, research paper, company, tweet, github, pdf)
  • · Competitor discovery and research synthesis workflows documented