The data layer for agentic AI
Give your agents structured, cited, real-world data from 300+ sources and the open web — through one API or MCP server.
Claude
OpenAI
Gemini
Cursor
Windsurf
Mistral
Llama
Perplexity
and any MCP client
300+ sources, grouped by what you need to know
Companies, funding, people, registries, marketplaces — every source answers in the same structured format.
Company profiles, competitors, news, and software reviews and ratings.
See the sourcesFunding rounds, investors, launches and open roles at young companies.
See the sourcesProducts, prices, sellers and reviews on the major online marketplaces.
See the sourcesOfficial company records, officers and filings from national registries.
See the sourcesWork emails, email validation and contact details for the people you find.
See the sourcesPublic people and company profiles, people search and employee lists.
See the sourcesAsk your agent, get rows back
You describe the job. The agent picks the lookups across sources and returns structured records.
“Which B2B SaaS startups in Europe raised a Seed or Series A in the last 90 days and are hiring for sales roles?”
A shortlist of accounts with the round and the hiring signal behind each one.
| Company | Round | Announced | Open sales roles |
|---|---|---|---|
| Finlo | Series A | 6 weeks ago | 3 |
| Cartora | Seed | 3 weeks ago | 2 |
| Nexbill | Series A | 9 days ago | 5 |
| Ledgio | Seed | 2 months ago | 1 |
Illustrative output — company and contact names are fictional.
Stop wiring up sources one by one
Your agent is only as useful as the data it can reach. NeuralVerge puts the sources behind one connection.
Every registry, directory and marketplace has its own access, format and quirks, so each new source is another integration to build and keep running.
Every source answers in the same structured shape. Adding a source to your workflow means asking for it, not building for it.
A purchased list or a cached copy starts going stale the day it lands, and nobody on the team can say how old a given row is.
Lookups run when your agent asks, so the answer reflects the source as it is now, not as it was when someone last exported it.
A model summarizes what it half-remembers, and there is no way to check where a fact came from before it goes into a CRM or a report.
Results come back as fields tied to where they were found, so a person or an agent can verify a claim before acting on it.
What teams run on it
Give the agent inside your product real company and people data to work with.
ExploreMap the market, build the list and watch competitors from one agent.
ExploreTurn buying signals into contacts with validated emails and a reason to write.
ExploreSize up a category: who plays, who is funded, what buyers say.
ExploreTrack competitors' launches, pricing, hiring, funding and reviews.
ExploreWatch reviews, ratings, mentions and marketplace listings for your brand.
ExploreFind tenders worth bidding on and check who you're bidding with or against.
ExplorePrices, sellers, assortment and reviews across marketplaces.
ExploreCompany, ownership, funding and reputation checks with sources attached.
ExploreVerify business customers against official registries during onboarding.
ExploreSource candidates, map talent at target companies and track hiring markets.
ExploreConnect once, then just ask
Add NeuralVerge to Claude, ChatGPT, Cursor or any MCP client. One connection gives the agent every data source, search and page extraction.
Describe the market to map, the list to build or the competitor to watch in plain language. The agent picks the lookups and fills in the parameters.
Structured records come back, not pages to read through. The agent writes them to a sheet, your CRM or a Slack channel through the integrations it already has.
claude.ai and Claude Desktop: add a custom connector with this URL, click Connect, sign in to NeuralVerge and click Allow. Then enable it from the + menu → Connectors in a chat.
Settings → Connectors → Add custom connector Name: NeuralVerge URL: https://mcp.neuralverge.ai/mcp
For everything the catalog does not cover
Search the open web and turn any page or document into structured JSON, over the same connection.
Simple, points-based pricing
Plans start at $50/mo. Points cover every lookup, search and extraction.
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 300+ sources and the open web — company intelligence, corporate registries, enrichment, and social profiles — through one API or MCP server.