Apptopia Launches MCP Server for AI-Driven Alternative Data Analysis

Apptopia has launched an MCP Server designed to enable investment analysts and portfolio managers to access and analyse its mobile app data directly through large language models including ChatGPT, Claude, Gemini, Perplexity and Copilot.

Rather than simply exposing raw alternative data through an API, Apptopia says its MCP incorporates analytical logic developed specifically for mobile data. The system examines eight to 13 quarters of year-on-year trends, selects metrics based on relevant company KPIs, triangulates trends across multiple dimensions and compares results with sector-level data.

The approach is intended to produce repeatable analysis while reducing the risk of misleading signals generated when LLMs interpret alternative datasets without sufficient domain context. Apptopia demonstrated the technology using Block’s Cash App, where segment-level analysis identified a contradictory signal that wasn’t apparent in the aggregate data.

Access is available to all Apptopia customers as standard across its plans.

Bloomberg Unveils CLO Data Service

Bloomberg has launched a collateralised loan obligations data solution, delivering reference datasets for market participants through the Bloomberg Data License.

The launch connects enterprise loan-level data with regulatory, liquidity and credit risk datasets.

“Bloomberg is making it easier for clients to understand how the security, its collateral and the corporate borrower fit together in one view,” said Maureen Gallagher, head of enterprise reference data at Bloomberg.

The system supports cash-flow modelling, risk assessment and tranche discovery while integrating with existing functions on the Bloomberg Terminal.

Users can access the information through the query language BQL, with future integration planned for the artificial intelligence tool ASKB.

SOLVE Expands Fixed Income Data and Trading Workflow Tools

SOLVE has introduced a series of enhancements to its fixed income platform, spanning TRACE market data, structured credit workflows and relative value analytics. The new TRACE Data Product Suite brings reported trade activity into SOLVE’s MBS Source workflow alongside collateral characteristics, historical offers, BWIC results and other security-level information. Coverage includes agency and non-agency MBS and CMOs, ABS and CMBS.

SOLVE has also enhanced its BWIC Monitor to help structured credit desks manage multiple live bid processes. New features include shared security-level statuses, change tracking and inline notes, combined with dealer inventory, historical quotes and predictive pricing.

Further enhancements to SOLVE’s Relative Value Analysis provide persistent access to user-created and SOLVE-provided analyses within its Quotes platform. Users can also filter dealer axe indications by timeframe, side and source. The updates are designed to connect fixed income data, analytics and trading workflows more closely and reduce the need to move between systems.

FutureSports and MLB Pave Way for Team Performance Futures

FutureSports has agreed with Major League Baseball (MLB) to create rules-based financial indexes tracking the performance of each of the league’s 30 teams, potentially providing the basis for a new class of sports-related derivatives. Under the agreement, MLB will supply Official League Data for the creation of CME FutureSports Performance Indexes (FSPI). CME Group plans to list weekly, monthly and quarterly cash-settled futures based on the benchmarks, subject to regulatory review.

The play-by-play indexes will measure teams’ cumulative performance and are intended to provide instruments for both investment and hedging, including management of financial exposures linked to the business of professional baseball. FutureSports will independently determine, calculate and govern the indexes using transparent, rules-based methodologies. MLB will have no role in those processes.

FutureSports has previously developed similar indexes based on NHL team performance, with CME planning futures contracts linked to those benchmarks.

State Street Launches PriceStats Superset for Daily Inflation Analysis

State Street has launched PriceStats Superset, a global dataset providing daily, item-level pricing data designed to give investors, policymakers and researchers earlier insight into the forces driving inflation.

The dataset builds on State Street PriceStats, its high-frequency inflation measurement service, by providing access to the underlying item-level data used to construct its indices. Covering 27 countries and millions of products and services, PriceStats Superset contains more than 50 billion price observations, allowing users to track price movements from individual products through categories and sectors to headline inflation measures.

State Street said the additional granularity should help users identify emerging inflationary pressures before they become visible in official government releases. The launch forms part of the firm’s broader Data Intelligence strategy and extends its work with PriceStats, which has provided high-frequency inflation research to State Street clients since 2011.

SIX Launches API-Based European Market Data Service

SIX has launched SIX Market Signal, a new API-based marketplace providing real-time and historical European market data to institutional and retail users. Its core product, 1BBO, provides a real-time European cash equities stream showing best bid and ask prices using order-book data from SIX Swiss Exchange and BME Exchange, alongside 16 European markets covered by Aquis Exchange.

For institutions, SIX is positioning the service as a way to extend market data beyond execution desks into areas including wealth management, benchmarking and compliance. Users are also licensed to use the data for training trading models and AI agents.

The service uses viaNexus technology for real-time distribution, entitlement management and cloud API delivery. SIX Market Signal is available to institutional users and Swiss retail investors now, with retail availability in the EU and UK planned subsequently.

ADX Launches First MENA Integration of Live Market Data into Conversational AI Platforms

The Abu Dhabi Securities Exchange (ADX) has become the first stock exchange in the MENA region to provide direct access to official live market data through conversational artificial intelligence platforms, including ChatGPT and Claude. Delivered via a governed Model Context Protocol (MCP) server, the framework enables investors, developers, and institutions to query exchange data using plain language, removing the need for specialist terminals, complex APIs, or technical intermediaries.

Through this integration, users can retrieve per-symbol market depth, bid-ask spreads, segmented trading statistics, machine-readable XBRL financial disclosures, and index reference data. To serve different market participants – including retail investors, fintech developers, brokers, and institutions – ADX has introduced four subscription tiers ranging from a free tier up to AED 49.99 per month, structured by usage volume, refresh frequencies, historical depth, and concurrent connections.

S&P Global Expands Collaboration with Microsoft to Integrate AI Data into Microsoft 365 Copilot

S&P Global has announced an expanded collaboration with Microsoft to integrate its AI-ready data, analytics, and insights directly into Microsoft 365 Copilot workflows and agentic tools. Powered by the S&P Global AI Data Portal’s Deterministic Retrieval solution – also known as the Kensho LLM-ready API – the system enables users to access verifiable and cited content within their standard Microsoft productivity applications.

Building upon an existing integration of S&P Global Energy data, this expanded capability includes a Copilot in Excel connector for financial modelling and reporting, alongside a plugin for agentic experiences in Copilot Cowork. Users can perform company research, financial analysis, peer benchmarking, competitive analysis, and transcript intelligence without leaving Microsoft 365, streamlining multi-step analytical processes and reducing manual data preparation while maintaining source attribution.

The update follows the recent evolution of S&P Global’s Market Intelligence operating model and the creation of its Kensho Data Platforms vertical. These structural changes combine data, AI, and software capabilities to deliver AI-native user interfaces that make proprietary intelligence easier to connect, access, and act upon.

Exegy to Distribute EuroCTP’s Real-Time Shares and ETF Feed

Exegy will distribute EuroCTP’s real-time multicast FIX SBE feed, the EU’s first real-time pre- and post-trade Consolidated Tape for shares and ETFs, when it goes live on September 14th. Building on a technology partnership established in 2024, Exegy will serve as a redistribution partner for the feed. This includes the European Best Bid and Offer (EBBO), which is calculated using Exegy’s market data technology platform.

The EuroCTP feed will be accessible via Exegy Ticker Plant (XTP) appliances and the Axiom consolidated market data feed. Incorporating EuroCTP adds consolidated trading activity from approximately 130 European trading venues and reporting platforms to Exegy’s broader platform, which already provides access to real-time market data from over 300 global venues.

The real-time feed will be available on Axiom immediately upon launch, allowing firms to stream market access and receive normalised European market data without incurring additional operational overhead.

LSEG Integrates Financial Data with Model ML via MCP Connector

The London Stock Exchange Group (LSEG) has announced that its licensed data and analytics are now available on Model ML. This integration is facilitated by a Model Context Protocol (MCP) connector, providing secure access to AI-ready financial content directly within financial services workflows.

Model ML operates as an AI workflow automation platform specifically designed for the financial sector. It features purpose-built agents and applications that assist professionals with market research, data analysis, and end-to-end workflow automation.

Through this integration, users will gain direct access to a comprehensive range of LSEG content. The newly available datasets include pricing, company reference data, estimates, fundamentals, and ownership records, alongside macroeconomic indicators, ESG data, news, forecasts, and financial analytical models.