Share prices, regulatory announcements, financials, shareholdings, director dealings, analyst research, fund data — and now central-bank communications. Fourteen datasets, each covering all 1,600+ issuers, kept current and delivered as clean data over the web, an API, or directly into your AI tools.
Figures as at Aug 2026 — see the full coverage table.
Structured, not scraped
Most UK market data still arrives as PDFs and web pages you have to read and re-key by hand. Ours doesn't. Every dataset comes as clean rows — the company, dates and figures already pulled out and matched — ready to load straight into a spreadsheet, a database or a model. No scraping, no cleanup, no guesswork about which company it refers to.
Fourteen datasets covering the UK-listed market — from real-time prices to the figures and text inside company reports. Each spans all 1,600+ issuers and is kept current — from every minute to daily, depending on the source. Choose a dataset to see what's in it, how far back it goes, and how to license it.
Policy statements, minutes, speeches and transcripts from the Bank of England, Federal Reserve and ECB — from primary sources only, structured to the sentence and ready to interrogate for tone, divergence and forward guidance.
One licensed feed, parsed into sixteen structured datasets — dividends, NAVs, buybacks, holdings, director dealings and more — each with the right company attached, a clear category and a score for how much it matters.
Explore datasetReal-time and end-of-day prices for equities, 25+ commodities, fiat & crypto — updated every minute.
13,600 annual reports turned into structured balance sheets, P&L and cash flow — every figure tied back to its page.
Director pay, CEO pay ratio, auditor & fees, going concern, pension deficits, emissions, gender pay — one record per company-year.
The full disclosed short-selling history of the UK market, with holder leaderboards and daily net changes.
Every director of every listed company — appointments, tenure, age and cross-company links.
Sponsored and independent research across ten houses, plus structured buy/sell/hold press tips — company-matched.
Monthly trust metrics — NAV, gearing, discounts, allocation and charges across the closed-end universe.
Investor TV, interviews and press mentions, matched to the companies they talk about.
Forward events calendar, fundraising deal intelligence, and a real-time squawk of market-moving alerts.
Plus gilts & yield curves, parliamentary interests, takeover-panel disclosures, and a reference layer linking every TIDM, ISIN, LEI and Companies House number across all 1,600+ issuers.
You're not buying a raw feed — you're buying data that has already been cleaned, matched to the right company and checked. Every source runs through the same five steps before it reaches you, which is why the datasets line up with each other and you can trust the numbers.
Collected continuously from APIs, public registers, feeds and the web — minute-by-minute to daily.
Match every record to a company via TIDM, ISIN, LEI and name-matching against 1,600+ issuers.
AI turns unstructured filings, reports and transcripts into structured fields — figures, dates, parties.
Add the layer that doesn't exist in the source: deal economics, NAV moves, tenure, tone shifts.
Delivered everywhere you work — web, API, widgets, terminal and AI assistants.
Source documents are read end to end and turned into structured data — dividends, NAVs, deal terms, tone — that never existed as a dataset before.
Fundraising lifecycles, price-performance windows, the directors who appear across deals, short-position change events — figures you will not find in the source.
One reference layer ties prices, news, research, financials and people to the same company, so you can join any dataset to any other.
Every dataset one at a time — what's in it, how often it refreshes, and how far back it goes. Figures as at Aug 2026.
Every regulatory announcement, parsed the moment it lands and fanned out into sixteen structured datasets — from dividends and NAVs to director dealings.
Real-time and end-of-day prices for every LSE equity, plus 25+ commodities and fiat & crypto pairs — updated every minute, with history back to each company's listing.
13,600 annual reports read and turned into structured balance sheets, P&L and cash flow — 625k+ figures, each tied back to the page it came from.
The full disclosed short-selling history of the UK market — every position by holder and security, with leaderboards of the most-shorted companies and day-on-day net changes.
Every director of every listed company — appointments, tenure and age — with the cross-company links that show who sits on which boards, from Companies House and offshore registries.
Statements, minutes, speeches and transcripts from the BoE, Fed and ECB, split to the sentence — so you can chart tone and divergence across a decade of monetary policy.
Also included
Plus gilts & yield curves, parliamentary interests and takeover-panel disclosures. Ask us for a live count against any dataset.
Alpha & speed
Spot tone shifts, policy divergence and forward-guidance signals — and act on them before they're widely recognised. Collapse days of analyst reading into a query.
Coverage & consistency
Walk into every pitch with benchmarks drawn from the whole market, not a hand-picked few — the same structured field for every company, every time, across all 1,600+ issuers.
Auditability
Every figure links back to the exact document and sentence it came from, so you can show where any number originated — down to the filing and the line.
No black-box numbers. Each structured record carries a link back to the exact filing, page or sentence it was extracted from — so an analyst can verify it, a compliance team can audit it, and an AI agent can cite it.
Four million announcements, parsed into sixteen structured datasets, are queryable today — on the web, through the Data API, or straight inside an AI assistant over MCP. It is the quickest way to see how the data is built and how far back it goes. Tell us the use case and we’ll open a live view against it.
Research on ticker.app or query programmatically through the Data API.
Point Claude, ChatGPT or any MCP-capable assistant straight at Ticker data and ask in plain English.
Snapshots, feeds and per-dataset licensing for redistribution.
See the data working against your own use case before you commit to anything.