Shared Context API cache: two cents after the first call

Why your assistant needs this context

You like analysing stocks and markets with ChatGPT or Claude? Those are amazing tools. Their knowledge is limited, and what they do not know, they miss. Training cutoffs sit months or years back. Everything newer they have to search, and it is hard to search for something you do not know happened.

Especially for an AI, which is not very good at looking broadly. That is why we built the Context API. Include our MCP, and your assistant gets the recent developments for your stock, your sector or your market, condensed and ready to use.

Just tell your agent to fetch the most recent and important events. Your agent is briefed, and can brief you in turn. Old information is bad information.

We built it because we needed it

At Leeway we write institutional-level research with AI discussions hundreds of pages long. The bottleneck was always the same: the model missed events that were no longer the lead headline. In May 2026 it had no idea about Hormuz and the US-Iran war.

The first caller pays the research. Everyone after pays two cents.

We pass on the exact cost of the AI call for the first person who hits an endpoint. For everyone afterwards who requests the same piece within its caching window, there is no AI fee. It is a flat two cents for us, that is it.

The caching window is freely adjustable. It does not matter how deep the research was or how large the initial AI cost.

You can get a five-iteration, multi-year timeline at two cents, as long as you are not the first to request it in your defined staleness window.

The more people use the same objects, the more often that two-cent read is what you pay. Shared context is how the bill comes down.

What you get

These are the objects that sit in the shared cache. If someone already requested the same piece inside the window, you pay two cents.

bash — cURL / HTTP GET

Live API Request with Custom Staleness

Lower the default freshness window (e.g. maxAgeDays=3) to trigger a fresh run, or omit it to maximize cache hits:

curl -X GET "https://api.leeway.tech/api/v1/public/ai/research/equity/whatsnew/AAPL.US?maxAgeDays=3&apitoken=YOUR_TOKEN"

Structured Response (Excerpt)

{
  "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"
}

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.

Base URL:https://api.leeway.tech/api/v1/public/ai

Available context objects in the Context API.
Object	What it is	Default freshness	REST Endpoint
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 today	The most important developments across regions and asset classes for a current view of the market.	1 day	`GET /research/market/whatsnew-today`Cache only
Market this week	A briefing on the past week across markets, focused on what changed and why it matters.	7 days	`GET /research/market/whatsnew-weekly`Cache 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-weekly`Cache only

Pay as you go — No subscription required

The Context API uses wallet billing instead of a monthly subscription. Every research cache read costs €0.02; live generations run at exact provider costs. Top up your wallet once or activate auto-recharge.

Get API Token & Wallet Research & Wallet Pricing

Looking for traditional market data?

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.

View Data API packages →

Sample results

These are excerpts from stored objects, written on the date shown. A later caller in the window gets this same piece for two cents.

What's New

AAPL.NASDAQ · as of 30 June 2026

GEThttps://api.leeway.tech/api/v1/public/ai/research/equity/whatsnew/AAPL.NASDAQ?apitoken=YOUR_TOKEN

Apple's pricing power meets structural supply chain vulnerability

Apple 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.

Weekly market timeline

as of 1 September 2026

GEThttps://api.leeway.tech/api/v1/public/ai/research/market/timeline-weekly?apitoken=YOUR_TOKEN

Weekly Market Timeline: Six-Month Structural Shifts

Week of 1 April: Hormuz transit collapses 95%. Following the 28 February killing of Iran's Supreme Leader, Lloyd's-market insurance withdrawals effectively sever 20% of global crude and fertiliser supply.
29 April: historic FOMC dissent. The Fed holds at 3.50 to 3.75% with an eight to four split, the widest since 1992. The internal debate shifts from when to cut to whether cuts are appropriate this cycle.
22 May: Kevin Warsh sworn in as Fed Chair. Markets pivot to a hawkish neutral stance, pricing in the risk of hikes if core inflation refuses to roll over.
18 August: the thirty-year Treasury yield hits a nineteen-year high at 5.33%. The long end breaks higher on supply and term premium rather than Fed policy, pressuring equity multiples globally.

The stored weekly timeline continues after these entries. This page shows a cut from the sequence, not the full object.

The 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.

What's New: Sector

MSFT.NASDAQ · as of 8 June 2026

GEThttps://api.leeway.tech/api/v1/public/ai/research/equity/sector/MSFT.NASDAQ?apitoken=YOUR_TOKEN

Technology Sector: Current Events

The 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.

Artificial intelligence governance: The European AI Act and national standards impose compliance frameworks on foundational model developers.
Compute infrastructure outlays: Unprecedented demand for model training capacity anchors long-term commitments in data center power and thermal management.
Semiconductor supply security: Government incentives accelerate onshoring and diversification across advanced packaging and fabrication facilities.

Sources evaluated: AI Act, Shaping Europe’s digital future, European Commission, Semiconductor Today, The Information, Semiconductor Sector Study 2026, GOV.UK, Semiconductors, Stanford Emerging Technology Review

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.

Connect the MCP

Add the Leeway MCP and tell your agent to fetch the most recent and important events exactly for your stock, your sector, your market.

When the assistant reports that a payment is required, top up the wallet in the account area. Then send this page to people who look at the same stocks, so the expensive first call happens less often.

MCP setup guide — Connect Cursor, Claude or ChatGPT step by step.
MCP overview — Endpoint, clients and Data API tools.
Account area — Token, signup and wallet live there.

Help and methodology — How the ratings work and how to read them.
Published research — Long-form theses, not on-demand ticker briefs.
Data API — REST catalog for quotes, fundamentals and screeners.
Context API — Training cutoffs, missed headlines, and why the assistant needs a provided context.

The more people use it, the cheaper it gets