Ticker News returns the latest news stories about one ticker symbol: US stocks and ETFs, stocks on 18 international markets, cryptocurrencies, futures and currency pairs. Each story comes with its headline, link, source, publisher and publication time, and is tagged as directly about the company or as a related market story. Paid plans add story summaries, headline tone and more stories per call.
An agent asked about prices or rates will happily invent a figure. Enable Ticker News and it calls the tickernews tool to check the live number before it answers — so the reply rests on real data, not the model's memory.
Give a market assistant a source it can actually cite: every figure it reports carries Ticker News as its origin, so a human can trace where the number came from.
Because the model pulls ticker news at the moment it responds, the answer reflects the market now — not whatever was true when the model was trained.
Point your agent framework at the VerveContext endpoint. Every enabled source — this one included — becomes a tool the model can call. No per-source plumbing.
{
"mcpServers": {
"vervecontext": {
"url": "https://api.vervecontext.com/v1/mcp",
"headers": { "x-api-key": "vc_live_••••" }
}
}
}Each call returns structured fields your agent can read.
tickernamemarketexchangeassetClassrelevancelastUpdatedcountHow to ground an agent in it over MCP.
Same data, same VerveContext account, same credit balance — one key works on all of them.
