Give your AI assistant the realtime financial context it needs for reliable stock and market analysis with the Leeway Model Context Protocol. Overcome the knowledge limit of its training, reduce hallucinations, and work with current data.
No credit card required
Only with realtime context such as Leeway Context can the assistant judge the situation correctly, and the answer becomes current and reliable.
On the left the assistant answers from its training. It names Tim Cook as chief executive and sounds entirely certain. On the right the same assistant has fetched the context object for Apple and knows about the succession to John Ternus, the pressure from memory costs and the breach at a supplier.
How has the track record been of the apple leadership? Is the CEO good?
The track record of Apple’s leadership under CEO Tim Cook, who took over from Steve Jobs in August 2011, is widely considered one of the most successful in corporate history, though it comes with its own set of criticisms.
Whether Tim Cook is a "good" CEO depends on the metric you use to measure success. Here is a breakdown across several key areas:
If measured by financial success, Tim Cook is arguably one of the greatest CEOs of all time.
As of September 2026, Apple's leadership is in the midst of a historic transition, which makes evaluating its track record a tale of two eras: the highly successful but currently strained outgoing era of Tim Cook, and the brand-new tenure of incoming CEO John Ternus.
To answer whether the CEO is "good," we have to look at what Tim Cook is leaving behind and what John Ternus is inheriting this month.
Because John Ternus is taking over the CEO role this month, he doesn’t have a track record as chief executive yet, but his background tells us a lot about where Apple is heading.
Ternus previously served as Apple’s Senior Vice President of Hardware Engineering. His appointment suggests the board wants a leader who is deeply rooted in product development to speed up execution.
Tim Cook’s 15-year run as CEO is objectively one of the most financially successful in corporate history, though his final year has exposed significant structural vulnerabilities.
Financial Juggernaut: Cook transformed Apple into a cash-generating machine. Even in Q2 2026, Apple generated a massive 111.2 billion in revenue (up 17% year-over-year).
The Services Empire: Cook successfully diversified Apple away from just selling iPhones. The Services division (App Store, iCloud, Apple Music, etc.) recently hit a record 31 billion in a single quarter.
Shareholder Value: Cook has been exceptionally friendly to Wall Street, recently authorizing another 100 billion share repurchase program, bringing total buyback capacity to an unprecedented 164 billion.
The AI Blindspot: Cook's leadership team was caught off-guard by the generative AI boom. Repeated delays in the Siri AI rollout have led to internal and external questions about Apple's "execution velocity."
Supply Chain Vulnerabilities: Despite Cook's reputation as a supply chain mastermind, Apple is currently structurally dependent on external suppliers for memory. With AI data centers driving up global storage costs, Apple has been forced to raise prices on Macs and iPads by double-digit percentages—a drastic move it avoided even during the COVID-19 crisis.
Geopolitical and Security Headwinds: The company is currently in the awkward position of lobbying the Trump administration to buy DRAM from CXMT, a Chinese manufacturer on the Pentagon's restricted list. Furthermore, efforts to move manufacturing to India recently resulted in a massive data breach at supplier Tata Electronics, damaging Apple's privacy-first reputation.
The market and consumers will be watching closely. He is inheriting a company with a flawless balance sheet but severe operational fires. To be considered a "good" CEO, Ternus will need to:
Fix the AI Lag: Get the delayed Siri AI features out the door and prove Apple can compete with Microsoft, Google, and OpenAI.
Solve the Memory Crisis: Find a way to secure DRAM and storage without relying on restricted Chinese entities or passing massive price hikes onto consumers.
Restore Supply Chain Security: Clean up the fallout from the Tata Electronics breach and ensure the transition of manufacturing to India and Vietnam goes smoothly.
Was Tim Cook a good CEO? Yes, he was an absolute master of financial engineering, ecosystem expansion, and scale. He made Apple the most valuable company in the world.
Is the current leadership good? They are currently under immense pressure. The transition to John Ternus reflects a necessary pivot. Apple's leadership has the cash and the market power to weather the current AI and supply chain storms, but their reputation for flawless execution has taken a significant hit in 2026.
Your assistant does not know what happened after its training ended. Ask it about a stock and it will still answer, in complete sentences and with great confidence, and it will sometimes be years out of date.
The Leeway Context MCP closes that gap. It gives your assistant the current state of a stock, a tradable asset or the wider market: what happened recently, what is moving the price, who the competitors are and which risks exist. You set up the connection once and then ask your questions as usual.
The Leeway Context MCP is a data integration tool that feeds structured, real-time financial research directly into AI assistants like ChatGPT, Claude, Gemini and Perplexity. It solves the training cutoff limitation of standard Large Language Models (LLMs). Instead of relying on generic web searches, the Leeway API provides targeted research objects—such as current developments, price drivers, and macro timelines—ensuring AI agents analyze markets using institutional-grade, up-to-date context.
Once your assistant can call these objects, it can do more than answer one-off questions about a stock. Here are five useful workflows you can build with the same connection.
Combine recent developments, price drivers, risks, competitors, industry or sector context and a timeline for one company. Your assistant can turn them into a one-page briefing with the information you need before a meeting.
Context objects and supporting tools What's New Price drivers Risks Competitors What's New: Industry What's New: Sector Timeline
For a small watchlist, call recent developments, live prices and relative moves for each symbol, then compile a short digest: the price move, what caused it and what is new. It becomes your own morning market summary.
Context objects and supporting tools What's New pricesprices_relative_move
Use competitor research for a group of companies in one sector, cross-reference sector or industry context and visualize who competes with whom. Color the diagram by the Leeway-Score from the ratings endpoint.
Context objects and supporting tools Competitors What's New: Sector What's New: Industry ratings
prices_relative_move identifies stocks moving outside their normal daily range. Pair it with price-driver research to explain why, turning a raw anomaly into an event feed with context.
Context objects and supporting tools Price drivers Asset price drivers prices_relative_move
Use timeline research for a stock or commodity to tell a multi-year story. Your assistant can render sentiment shifts and key events as a visual timeline instead of leaving them in a long text response.
Context objects and supporting tools Timeline Asset timeline
What mattered in markets, and what should I know about my Bayer holding?
ai_market(view=topic, cadence=today, topic=macro)ai_company(topic=whatsnew, symbolexchange=BAYN.XETRA)prices(view=live, symbolExchange=BAYN.XETRA)Rates and Bayer legal risks define the assessment
Bayer expects around €5 billion of litigation-related payments in 2026. The recovery in Crop Science and realised savings are the counterweight. […]
Is SAP expensive in its own valuation history?
market_cap(view=history, symbolExchange=SAP.XETRA, valuation=pe)
Valuation history for SAP.XETRASAP therefore sits below its own ten-year median and not at the expensive end of its valuation history.
Where do the Leeway ratings stand on SAP, and what are the key figures?
ratings(symbolExchange=SAP.XETRA)dividends(view=latest, symbolExchange=SAP.XETRA)market_cap(view=history, symbolExchange=SAP.XETRA)fundamentals(view=statements, symbolExchange=SAP.XETRA)events(view=earnings, symbols=SAP.XETRA)The Market-Fit rating is clearly positive. At 45.4, the Cycle rating is in the neutral range of SAP’s valuation history.
Who are SAP’s direct competitors?
ai_company(topic=competitors, symbolexchange=SAP.XETRA)
SAP competes in cloud ERP, analytics and customer experience with large software vendors. Pressure comes from the cloud migration, from platform and AI differentiation, and from specialised vendors in the mid-market.
You ask your assistant about a stock and get an answer in complete sentences. What you cannot see is that its knowledge ends on a fixed date, and that date is months or years in the past. For anything more recent it depends on a search.
A search only finds what it looks for. If the assistant does not know that a company has replaced its chief executive, it will not search for it. It will not mention it, it will not flag it, and you will never learn that something was missing from the answer.
Without current market data, AI models sound confident but rely on outdated assumptions. Leeway delivers the verified facts directly into the chat.
| Topic | What happened | Standard AI without context | With Leeway Context |
|---|---|---|---|
| Apple (AAPL) | CEO succession announced for September 2026. Tim Cook will step down as CEO. | The model still treats Tim Cook as long-term CEO and builds investment analyses on outdated leadership assumptions. | Delivers the verified CEO succession plan directly into the chat so your AI knows who actually leads the company. |
| Interest rates & Fed | Long-term US interest rates jump to 5.33% and the Federal Reserve gets a new chair. | Uses outdated rates and reaches wrong conclusions for companies with high debt. | Supplies current interest rates and Fed decisions so your AI accurately evaluates borrowing costs and stock valuations. |
We built these objects for our own research first, because the same problem was holding us up. Each object answers one specific question about a company, a tradable asset or the wider market, and it is refreshed on request. Your assistant decides which one it needs for your question.
Initiates financial tool calls for up to date context.
Bills €0.02 per read if cache hit, else exact AI cost without markup.
Institutional analysis objects with condensed up to date information.
Here is exactly what the API feeds into your AI's context window.
Every request authenticates with your API token. Each object has a default maximum age; you or the AI can lower or raise that maximum, to get a newer piece or save money through more cache hits.
https://api.leeway.tech/api/v1/public/ai| Object | What it is | Default freshness | REST Endpoint | Sample |
|---|---|---|---|---|
| Equities | ||||
| What's New | A dated briefing on recent events at a company, with the context an AI assistant needs to explain what changed and why it matters. | 7 days | GET /research/equity/whatsnew/{ticker} | |
| Timeline | A five-year chronology of the events that shaped a company, so an AI assistant can explain how its position and investor view evolved. | 30 days | GET /research/equity/timeline/{ticker} | |
| Competitors | A structured view of the companies competing in the same market, including their roles, relative strengths and weaknesses. | 90 days | GET /research/equity/competitors/{ticker} | |
| Risks | The material risks facing a company, with context on how they could affect its business and stock. | 90 days | GET /research/equity/risks/{ticker} | |
| Price drivers | A structured view of the forces currently moving a stock’s price and the events or expectations behind them. | 30 days | GET /research/equity/price-drivers/{ticker} | |
| What's New: Industry | A briefing on recent events and shifts in the industry, providing context for the company’s market position. | 7 days | GET /research/equity/industry/{ticker} | |
| What's New: Sector | A briefing on recent events and shifts across the company’s wider sector, providing context for its outlook. | 7 days | GET /research/equity/sector/{ticker} | |
| Commodities and currencies | ||||
| What's New: Asset | A dated briefing on recent events affecting a commodity or currency pair, with context for its current price. | 1 day | GET /research/asset/whatsnew/{ticker} | |
| Asset timeline | A dated sequence of recent events and price moves that shows how a commodity or currency pair developed. | 7 days | GET /research/asset/timeline/{ticker} | |
| Asset price drivers | The forces currently moving a commodity or currency pair, with the supply, demand or market events behind them. | 7 days | GET /research/asset/price-drivers/{ticker} | |
| Asset events | Upcoming and recent events that could affect a commodity or currency pair, with their dates and relevance. | 7 days | GET /research/asset/events/{ticker} | |
| Market | ||||
| Market this week | The latest weekly briefing. short returns the email, and long returns the website article. The call does not charge the wallet. | latest stored text | GET /research/market/whatsnew-weeklyCache only | |
| Daily market briefing | The latest daily briefing. The email and the website use the same article. A trader subscription is required, and the call does not charge the wallet. | latest stored text | GET /research/market/whatsnew-todayCache only | |
| CIO view | The latest CIO view of the macro regime, allocation, and scenarios. short returns the email, and long returns the website text. An investor or trader subscription is required. | latest stored text | GET /research/market/cio-viewCache only | |
| Weekly market timeline | A dated sequence of the structural shifts that have shaped the market over recent months. | 8 days | GET /research/market/timeline-weeklyCache only | |
Beyond AI context objects, we also offer raw market data, financial forecasts, and fundamental screeners. These are available through subscription packages with daily request quotas.
| Object | What it is |
|---|---|
| Data API | Fundamentals, prices, dividends, macro and more: the base package, and the market-data tools MCP exposes. |
| Analytics API | Screener, key figures, market cap, relative move and benchmark, standalone or as an add-on. |
| Forecast API | AI-powered revenue and earnings forecasts, standalone or as a Data API add-on. |
| NAAIM Exposure Index API | Current weekly NAAIM Exposure Index readings and more than 20 years of history, as an official NAAIM partner. |
AI context runs on a wallet balance and without a subscription. You pay per request, and because all users share the same cache, the large majority of requests are cache reads.
€0.02per request served from the shared cache
You top up a balance and every request is charged against it. Because the cache is shared across all users, most requests are cache reads.
A free account includes 50 requests per day, which is enough to set up the connection and try it out. The wallet for AI context is separate from that and is only charged when you request a context object. Prices, fundamentals and forecasts are billed separately through a monthly package: prices of the market data packages.
The excerpts below come from stored objects and reflect the position on their respective dates. They are evidence of the form of the output, not a current Leeway view of the market.
https://api.leeway.tech/api/v1/public/ai/research/equity/whatsnew/AAPL.NASDAQ?apitoken=YOUR_TOKENApple faces mounting pressure from storage costs as AI data centers worldwide drive unprecedented price increases. The company has responded by raising prices on Macs, iPads, and other hardware by double-digit percentages in some cases, a measure it avoided even during the COVID crisis. Simultaneously, Apple is lobbying the Trump administration for permission to source DRAM from Chinese manufacturer CXMT, which already sits on the Pentagon's restricted list. The company lacks its own memory manufacturing capacity and remains structurally dependent on external suppliers.
In the second quarter of fiscal 2026, Apple generated $111.2 billion in revenue, up 17% year-over-year. iPhone revenue reached $57 billion, while Services hit a record $31 billion. The company authorized a new $100 billion share repurchase program, which combined with remaining capacity from the previous program brings total buyback capacity to approximately $164 billion.
The planned CEO transition from Tim Cook to John Ternus in September, coupled with repeated delays in the Siri AI rollout, has raised internal and external questions about execution velocity. A data breach at supplier Tata Electronics, in which over 200,000 Apple-related files surfaced on the dark web, has added reputational and regulatory pressure.
A model whose training ended before these events names Tim Cook as chief executive, knows neither the buyback programme nor the cost pressure coming out of the memory market, and still answers a question about Apple in fluent, complete sentences.
https://api.leeway.tech/api/v1/public/ai/research/market/timeline-weekly?apitoken=YOUR_TOKENThe same gap runs through the macro picture. Anyone unaware of the change at the head of the Federal Reserve, or of the move at the long end, values every equity with the wrong discount rate.
https://api.leeway.tech/api/v1/public/ai/research/equity/sector/MSFT.NASDAQ?apitoken=YOUR_TOKENThe biggest current events reshaping the Technology sector are an intense global push to regulate and enforce AI, a rapid surge in AI compute and infrastructure deals, major semiconductor supply-chain shifts and government onshoring efforts, heightened antitrust actions aimed at big tech, and a rise in high-impact cybersecurity incidents.
Antitrust, gatekeepers and platform rules: regulators are actively targeting large platforms with conduct requirements and possible gatekeeper designations that affect data use and AI training, especially in Europe and the UK. Competition authorities are also adding conditions that let publishers opt out of content use for AI features.
The sector brief carries the sources it evaluated. On the public route this object takes no language parameter, which is why the excerpt appears here in its original language.
Every research object can be requested on its own via our REST API or called dynamically by your AI via the MCP server.
You control the staleness. Every endpoint has a default maximum age (for example seven days). If you need something newer, simply lower the maximum in your call to trigger a fresh run, or raise it to save money through more cache hits.
The context objects are written in English. Your assistant reads them regardless of the language you use with it and keeps answering you in your own language.
Beyond text context, fetch raw prices, fundamentals, and screener series using daily request units. Data API
GET https://api.leeway.tech/api/v1/public/ai/whatsnew/AAPL.NASDAQ?apitoken=YOUR_TOKENcurl -X GET "https://api.leeway.tech/api/v1/public/ai/research/equity/whatsnew/AAPL.US?maxAgeDays=3&apitoken=YOUR_TOKEN"{
"ticker": "AAPL.US",
"date": "2026-09-03",
"title": "CEO succession announced for September 2026",
"content": "Apple confirmed its executive succession timeline alongside renewed memory procurement negotiations...",
"source": "quality_rating"
}No. In ChatGPT, Claude, Gemini and Perplexity you open the settings, add our endpoint as a connector and sign in with your Leeway account. After that you ask your questions as before, and the assistant fetches the objects itself when it needs them. If you are building your own agents, you can use the REST interface instead.
The assistant names events and figures with a date and says where they come from, instead of staying general. You can also ask it directly to fetch the current state of a stock before it answers.
Then it is generated for your request. In that case you pay exactly our data and model cost, with no markup. Every further request for the same object inside the freshness window costs two cents, for you and for everyone else.
In ChatGPT, Claude, Gemini and Perplexity the endpoint and an OAuth sign-in are enough, and you do not need an API token for that. Other clients are covered in the setup guide.
Then ask the assistant to call the objects itself. Do not paste a search dump and hope the model fills the gaps.
