Match-Trade Lets AI Build Broker Integrations in Hours

Match-Trade Technologies has introduced AI Skills for its Broker API and CRM API, giving AI systems direct access to the infrastructure that forex brokers, prop trading firms, and financial institutions use daily. Announced on 11 August 2026, tasks that previously required weeks of manual integration can now be assembled by AI in a single pass.

A Skill is a structured instruction set for an API. Once connected to Claude, or any AI supporting the format, the model understands the integration end-to-end: authentication, available endpoints, returned data, and how functions relate. Instead of integrating endpoints one by one, the user describes what they want, and the AI selects the right endpoints, handles authentication, and combines the data in one go.

“API Skills turn documentation into practical AI context, so teams can focus on validating a solution instead of assembling every connection from scratch,” said Wojciech Kopczyński, Product Owner at Match-Trade Technologies.

Contents

01

What Brokers Can Now Do

02

Three Dashboards as Proof

03

Industry Context

What Brokers Can Now Do

Sales reporting becomes a conversation: a user describes the required output to Claude, which connects to the Broker API, pulls the data, and produces a ready-to-use report with no custom development.

For A-Book and B-Book hedging decisions, the Skills link client profiles with position data and produce profitability analysis under defined conditions, enabling client-level analysis without a separate integration project.

The Skills also tackle data reconciliation by flagging inconsistencies across systems. For support teams, they can retrieve account and position data to explain events such as forced position closures caused by insufficient funds.

Three Dashboards as Proof

Match-Trade validated the approach by building three dashboards with Claude, describing them as “vibe-coded” applications where AI assembled integrations before technical validation.

The Most Traded Instruments dashboard shows a leaderboard with per-instrument statistics including win rate, total P/L, volume, buy/sell split, commissions, and swap. The MT Prop Support Dashboard lets support teams search prop challenge accounts, displaying CRM data, trading parameters, financial status, challenge progress, and account status. The Prediction Market Trader Leaderboard ranks traders with drill-down views of transaction count, total stake, net P/L, and ROI percentage.

Industry Context

In July 2026, Leverate launched a back-office Model Context Protocol server allowing AI assistants such as Claude and ChatGPT to access broker CRM, marketing, and risk data. Match-Trade's launch follows weeks later, signalling that broker technology providers are racing to make AI a first-class consumer of trading infrastructure.

Match-Trade Technologies, founded in 2013, serves forex brokers, prop trading firms, and financial institutions globally. The Broker API and CRM API Skills are already available for Claude, with compatibility for any AI system that supports the Skill format.