Match-TradeTechnologies has introduced AI Skills for its Broker API and CRM API, designedto reduce the work involved in building integrations between broker systems andinternal tools.The move comes asbroker technology providers increasingly connect AI systems to internalinfrastructure. In July, Leveratelaunched a back-office Model Context Protocol server allowing AI assistantssuch as Claude and ChatGPT to access broker CRM, marketing and risk data.Match-Trade Turns API Docs into AI ToolsMatch-Trade said theSkills provide Claude and other compatible AI systems with structuredinformation about API authentication, endpoints, returned data and howdifferent functions connect. Instead of implementing and testing endpointsindividually, users can describe the required outcome and have the AI assemblethe relevant connections.The resultingintegration can then be reviewed and adjusted by technical teams.“API Skills turndocumentation into practical AI context, so teams can focus on validating asolution instead of assembling every connection from scratch,” said WojciechKopczyński, Product Owner at Match-Trade Technologies.The company said theSkills can connect CRM records with trading and sales data to analyse measuressuch as trades per client, position sizes and sales performance. Applicationsinclude sales reports, commission calculations, data reconciliation andperformance metrics.AI Links Broker Data for Client AnalysisThe company alsohighlighted client-level analysis for A-book and B-book decisions. The Skillscan link client profiles with position data and assess profitability againstdefined conditions.For support teams, thetechnology can retrieve account and position data to explain events such asforced position closures caused by insufficient funds.Match-Trade said theapproach can also accelerate the creation of internal dashboards and reports.Developers can take AI-generated prototypes through technical review beforeproduction deployment.The company tested theapproach by building three dashboards with Claude using its Broker API Skill.These covered the most traded instruments, prop trading account support and aPrediction Market Trader Leaderboard.The dashboards combinetrading and CRM data and display metrics including trading volume, profit andloss, account status, transaction counts, stakes and return on investment.Match-Trade describedthe examples as “vibe-coded” applications, with AI assembling the integrationsbefore technical validation and production implementation.This article was written by Tareq Sikder at www.financemagnates.com.