The data layer for agentic AI
Give your agents structured, cited, real-world data from 250+ sources and the open web — through one API or MCP server.
Claude
OpenAI
Gemini
Cursor
Windsurf
Mistral
Llama
Perplexity
and any MCP client
Research, extract, and query — as tools your agents can call
Research and extraction are the primitives, and the source catalog sits behind both. Your agents call them mid-task, over MCP or REST.
Ask a question in plain language and get back a structured, cited answer — synthesized from the whole source catalog and the open web.
Explore AI researchPoint at any page or document and get clean, structured JSON back — no selectors, no HTML parsing to maintain.
Explore AI extractionCompany registries, business intelligence, enrichment, and social profiles — all queried the same way, alongside the open web.
Browse data sourcesConnect your agent over MCP, or call it over REST
Point an MCP client at NeuralVerge and the tools are there mid-task, or call the same endpoints from your own code.
Streamable HTTP transport. Client-specific setup steps are documented at docs.neuralverge.ai.
{
"mcpServers": {
"neuralverge": {
"url": "https://api.neuralverge.ai/functions/v1/mcp-server",
"headers": {
"Authorization": "Bearer <API_KEY>"
}
}
}
}250+ sources, one request format
Company intelligence, corporate registries, enrichment, and social profiles — queried the same way every time.
Simple, points-based pricing
Plans start at $50/mo. Points cover research, extraction, and everything built on top.
LLM-friendly content extraction
Priced by task depth — see AI research costs on the Pricing page.
Questions, answered
NeuralVerge is the data layer for agentic AI. It gives your agents structured, cited, real-world data from 250+ sources and the open web — company intelligence, corporate registries, enrichment, and social profiles — through one API or MCP server.