Remember that iconic scene in The Matrix – when Trinity is instantly equipped with the knowledge to pilot a Bell 212. Well - it isn’t just science fiction anymore - kinda! In the world we’re building at viaNexus, it’s becoming a metaphor for how intelligent agents will interact with data.
When an agent hits a use case that requires highly specialized data – say, granular pre-trade analytics from BMLL- soon it will be able to request access via our Model Context Protocol (MCP) server.
Very soon. What does that mean? Agents and their human masters will have seamless access to this highly specialized dataset, without the need for heavy weight integration, minimal if any prompt engineering.
Just have a conversation with the data! Hallucination free!We’re currently testing this new piece of kit and have been truly amazed how it works seamlessly with the viaNexus platform. Now common or garden LLMs (like Claude, or ChatGPT) can be transformed into an expert agents in data driven domains – just like Trinity become a helicopter pilot - now watch the video and you'll get the idea!
Sitting on top of viaNexus, this MCP layer acts as the smart bridge between AI applications and the right data set, at the right moment, in the right format. Only possible because of our well documented, normalized and superfast APIs.
No more pre-loading the entire world of data. No more hunting for access or decoding obscure schemas.
Human: “Show me how IBM trades, by venue over the last 3 months.”
LLM: “I have access to BMLL venue data, let me access that for you.”“
"Would you like that as a chart or download into Excel?”
BMLL Technologies is the leading, independent provider of harmonized, Level 3, 2 and 1 historical market data and analytics to the world’s most sophisticated capital market participants. 3 of their most demanded derived datasets are available on viaNexus – for both professional and personal use:
1: Daily Classified trades: A normalized view of all trades across every venue, aggregated daily by venue and trading mechanism.
2. Auction Analytics: detailed measurements on auction dislocations and imbalances, supporting the evaluation of liquidity dynamics, slippage and price dislocations, execution strategies, and venue performance.
3. Retail Trades: Beyond top-line volume and uncover retail share of market volume, venue fragmentation patterns and shifts in behavior by instrument.The future of data access is contextual, dynamic, and intelligent.