Analyst recommendations
Ratings, target prices and forecast horizons, with the analyst, firm and source behind each call.
Financial data for builders
Market insight.
Structured for
your product.
Analyst ratings, dividends and earnings dates — connected to their sources and ready to build with.
REST API JSON responses Data exports
From a recommendation to a recordSample
{
"symbol": "AAPL",
"analystName": "Jane Doe",
"analystCompany": "Example Research",
"priceTarget": 245.00,
"lastPriceTarget": 210.00,
"currency": "USD",
"rating": "Buy",
"targetDate": "2027-09-28",
"publishedAt": "2026-09-28"
}The context travels with the data: the company, the analyst, the target and the date.
The data behind
better financial products.
From a single company event to a broader market view. Choose the datasets that fit your workflow.
Dividends
Ex-dates, payment dates, amounts and currencies. Original payment details stay attached to the record.
Earnings calendar
Company reporting dates by fiscal year and period, with source evidence for conflicting dates.
Market news
Company-linked headlines and articles, source links, original text and Russian translations.
Crypto recommendations
Price forecasts with horizon precision, supporting quotes and a separate verification status.
ETF profiles
Fund identity, assets, allocation, regions, sectors and top holdings in a structured record.
Crypto ETF holders
Institutional positions from filings, with shares, values and changes between reporting dates.
Exchange holidays
Trading holidays by exchange to support your calendars, scheduling and date checks.
Dataset coverage and delivery options are agreed as part of your access.
More context.
Less guesswork.
Sources don’t always agree. Our workflow keeps the evidence visible and gives editors the tools to resolve differences.
- 01
Import
Data comes from publishers, filings and exchange calendars. Import runs are monitored for freshness and errors.
- 02
Reconcile
Source versions are kept together so discrepancies in dates, ratings and prices can be compared.
- 03
Review
Editors resolve conflicts and check the evidence behind forecasts before making publication decisions.
- 04
Deliver
Access the available datasets through the API or work with an export for your chosen period.
Access that fits
what you’re building.
Tell us about your product, the data you need and how you plan to use it. We’ll discuss coverage and terms with you.
Evaluation
Explore the available data and assess the fit for your project.
- Discuss dataset coverage
- Review fields and formats
- Scope your integration
Terms on requestDiscuss evaluation
Enterprise API
Bring structured financial data into your application or internal tools.
- Agree on the datasets you need
- Define access and usage
- Plan your data workflow
Terms on requestRequest API access
Distribution
Discuss data delivery for platforms serving their own customers.
- Define your use case
- Discuss distribution rights
- Agree on delivery requirements
Terms on requestDiscuss distribution
What are you
building next?
Start with the data you need.
We’ll take it from there.
Structured data for applications,
research and financial workflows.