Accern
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Accern Data Products: APIs & Datasets
Accern Pricing & Cost
Subscription based pricing on all data.
*Pricing is dependent on frequency, history, analytics & asset class coverage
**Custom solutions are available. Please inquire for more information and trial details. **
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About Accern
Accern in a Nutshell
The Accern NoCodeNLP Platform™ empowers citizen data scientists to extract insights from unstructured text data, minimize time to value and maximize ROI with pre-built AI/ML/NLP solutions. Recognized as the first No-Code NLP Platform-as-a-Service (PaaS) and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end workflows that enhance existing models and enrich BI dashboards. Learn more at https://accern.com/.
Geo Coverage
Featured in
Use Cases
Hedge Funds, Investment Banks, Asset Managers, Brokers, Insurance, Research Firms, Quantitative Managers, Sovereign Wealth Funds, Private Markets
Data Sources & Collection
Public News & Blogs: The Public News & Blogs dataset utilizes data harvested from over a billion websites scraped in real-time to derive 60+ metrics per signal extracted. Accern scrapes public news/blog websites that produces actionable and accurate financial news information and incorporates very strict noise cancellation algorithms. The metrics derived include sentiment, impact, reliability scores, etc. Accern’s Public News & Blogs datasets include 5 years of historical data for backtesting. Streaming data is available via resftul API and is available intraday, daily, weekly, etc. based on the clients preferred method.
Dow Jones Newswires: Accern’s Dow Jones dataset utilizes data harvested directly from the Dow Jones Global Newswire in real-time to derive 30+ metrics per signal extracted. The metrics derived include but are not limited to sentiment, impact, reliability scores, etc. Accern’s Dow Jones dataset includes 14 years of historical data for backtesting. Streaming data is available via restful API and is available intraday, daily, weekly, etc. based on the client’s preferred method.
EDGAR SEC Filings: Accern’s SEC 10K dataset extracts theme-based signals for all US companies from the past 15 years of SEC 10K filings. These signals are the only commercially available dataset constructed using natural language processing techniques, powered by Accern’s TITAN Engine, which is benchmarked as providing industry leading precision. The generated signals can be used as part of a quantitative investment strategy or on a discretionary basis to identify a company’s exposure to themes such as ESG, Corporate Actions and M&A, Company Financials, Product Developments, Legal Actions and Credit Events.
Key Differentiators
We offer over 400 read-made use cases specific to the financial services industry. Accern’s No-Code AI Platform is integrated with a large financial data store that provides access to public and premium sources such as Dow Jones Newswires, FactSet, Morningstar, Naviga, and others. Users can build and deploy custom AI use cases, select finance-specific ready-made use cases, analyze and extract data, and generate visual insights all on one platform, without writing a single line of code.
Integrations
Frequently asked questions about Accern
What does Accern do?
Researchers, business analysts, data science teams, and developers use Accern to build and deploy finance specific AI use cases powered by adaptive NLP. Allianz, IBM, and Jefferies are utilizing Accern to accelerate innovation.
How much does Accern cost?
The supported pricing models for Accern’s data are Yearly License. Get talking to a member of the Accern team to receive custom pricing options, information about data subscription fees, and quotes for Accern’s data offering tailored to your use case.
What kind of data does Accern have?
Stock Market Data, Research Data, News Data, Alternative Data, and 5 others
How does Accern collect data?
Public News & Blogs: The Public News & Blogs dataset utilizes data harvested from over a billion websites scraped in real-time to derive 60+ metrics per signal extracted. Accern scrapes public news/blog websites that produces actionable and accurate financial news information and incorporates very strict noise cancellation algorithms. The metrics derived include sentiment, impact, reliability scores, etc. Accern’s Public News & Blogs datasets include 5 years of historical data for backtesting. Streaming data is available via resftul API and is available intraday, daily, weekly, etc. based on the clients preferred method. Dow Jones Newswires: Accern’s Dow Jones dataset utilizes data harvested directly from the Dow Jones Global Newswire in real-time to derive 30+ metrics per signal extracted. The metrics derived include but are not limited to sentiment, impact, reliability scores, etc. Accern’s Dow Jones dataset includes 14 years of historical data for backtesting. Streaming data is available via restful API and is available intraday, daily, weekly, etc. based on the client’s preferred method. EDGAR SEC Filings: Accern’s SEC 10K dataset extracts theme-based signals for all US companies from the past 15 years of SEC 10K filings. These signals are the only commercially available dataset constructed using natural language processing techniques, powered by Accern’s TITAN Engine, which is benchmarked as providing industry leading precision. The generated signals can be used as part of a quantitative investment strategy or on a discretionary basis to identify a company’s exposure to themes such as ESG, Corporate Actions and M&A, Company Financials, Product Developments, Legal Actions and Credit Events.
What are the best use cases for Accern’s data?
Hedge Funds, Investment Banks, Asset Managers, Brokers, Insurance, Research Firms, Quantitative Managers, Sovereign Wealth Funds, Private Markets
What platforms is Accern integrated with?
AWS Data Exchange, Snowflake Data Marketplace, Google Cloud Analytics Hub, and Microsoft Azure Synapse Analytics