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MarketPsych Data API from MarketPsych Data
An API that delivers sentiment analysis, social media data, and news analytics to help investment professionals gauge market sentiment and trends.
Product analysis by function
Alternative Data Platforms for Investment Research & Analysis
Tools that collect, process, and analyze non-traditional data sources such as satellite imagery, social media sentiment, credit card transactions, and mobile location data to generate investment insights not available from conventional sources.
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Data Coverage & Sources
(5 Yes /5 Known /12 Possible features)
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Number of Data Sources Total distinct alternative data sources (e.g., satellites, social, POS) the platform integrates. |
No information available | |
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Source Diversity Range of data types covered (e.g., geospatial, transactional, web-scraped, sensor data, etc.) |
No information available | |
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Data Source Transparency Level of disclosure around data origins and collection methods. |
API documentation and product material state data sources are disclosed (news/social platforms). | |
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Coverage Geography Geographical breadth of alternative data (e.g., global, regional, local markets). |
No information available | |
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Historical Depth Amount of historical data available for backtesting and longitudinal analysis. |
No information available | |
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Source Update Frequency How often new data is ingested from sources. |
No information available | |
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Exclusive or Unique Sources Whether the platform provides access to otherwise unavailable/uncommon datasets. |
No information available | |
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Source Verification Processes in place to verify data authenticity and quality. |
Company public materials refer to NLP QC/QA pipelines for filtering and quality. | |
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Consent & Compliance Ensures data sources are ethically and legally obtained with proper user consent. |
States ethical and legal compliance for data collection from public sources. | |
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Real-Time Data Availability Whether some or all data sources provide real-time or near-real-time feeds. |
API delivers some streams in near real-time, as referenced in documentation. | |
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Unstructured Data Handling Ability to process and integrate unstructured data such as images or text. |
Sentiment analysis performed on unstructured text (news and social); core feature. | |
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Data Licensing Terms Clarity Transparency and clarity of the licensing rights and restrictions regarding data use. |
No information available |
Data Quality & Integrity
(5 Yes /5 Known /10 Possible features)
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Error Rate Frequency of data processing or reporting errors. |
No information available | |
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Missing Data Handling Systematic mitigation of gaps or missing values in data streams. |
Product uses NLP to systematically handle gaps/missing values (common in social media data). | |
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Data Normalization Standardization of datasets for ease of analysis. |
Data outputs are normalized sentiment scores (clarified in product material). | |
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Data Granularity Level of detail available (e.g., hourly, daily, per store, per SKU). |
No information available | |
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Quality Assurance Processes Robustness of quality control and regular audits. |
No information available | |
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Latency Time delay between data creation and its availability on the platform. |
No information available | |
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Deduplication Automated detection and removal of duplicate entries. |
Marketing materials highlight deduplication of repeated news/social posts in output. | |
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Anomaly Detection System flags and explains outliers or errors in incoming data. |
Outlier detection is part of QC for sentiment scoring (referenced in docs). | |
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Imputation Techniques Advanced strategies for predicting and filling missing data. |
NLP models impute inferred values where data is sparse; described in academic partnerships. | |
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Version Control Ability to track changes and updates to datasets for auditability. |
No information available |
Analytics & Insight Generation
(6 Yes /6 Known /11 Possible features)
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Prebuilt Analytics Number of out-of-the-box analytical models or dashboards for typical investment use cases. |
No information available | |
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Custom Analysis Capability Ability to build custom models or queries on platform data. |
API enables custom queries and filtering by asset, time, or custom keyword. | |
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Correlation Analysis Supports finding relationships between alternative data and traditional financial metrics. |
Correlation metrics available for sentiment vs. price and volume in sample analyses. | |
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Backtesting Tools Built-in functionality for testing investment hypotheses using historical data. |
Historical feed with backtesting examples given in technical guides. | |
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Predictive Modeling Availability of machine learning or AI-driven forecasting modules. |
Predictive models and ML modules provided on top of sentiment for forecasting. | |
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Sentiment Analysis Detects and quantifies market sentiment from textual or social media data. |
MarketPsych Data API is explicitly built for sentiment analysis from text/media. | |
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Geospatial Analytics Ability to map and analyze spatial data (e.g., satellite imagery). |
No information available | |
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Real-Time Alerting Automatic notification of significant changes or anomalies relevant to portfolio holdings. |
No information available | |
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Enrichment with Traditional Data Integrated blending of alternative and conventional financial data sets. |
No information available | |
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Explainability of Models Features supporting interpretability of predictive signals and models. |
No information available | |
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Scalability of Analytics Ability for analytic tools to function with large and growing data sets. |
API designed for large-scale financial institutions and hedge funds. |
Integration & Accessibility
(5 Yes /5 Known /10 Possible features)
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API Availability Provision of programmatic data and analytics access via APIs. |
API endpoint documentation available; RESTful API provided. | |
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Standard Data Connectors Prebuilt connectors to common analytics, BI, or portfolio management tools. |
No information available | |
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Bulk Data Export Support for exporting large batches of raw or processed data. |
Clients can download bulk historical datasets as CSV or JSON. | |
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Real-time Streaming Integration Ability for real-time data feeds to integrate into live workflows. |
No information available | |
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Cloud Storage Integration Compatibility with popular cloud storage solutions (AWS, Azure, GCP, etc.). |
Supports AWS S3/GCP/Azure integrations for output delivery. | |
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Role-Based Access Control Enables fine-grained access management for different organizational users. |
User and group-based access supported in enterprise deployments. | |
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User Interface Usability Intuitive and efficient user interface for analysts and developers. |
UI is described as simple and built for both analysts and developers. | |
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Mobile Access Functional accessibility from mobile devices (native apps or web). |
No information available | |
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White-Labeling Possibility to customize the platform to align visually and functionally with client brand. |
No information available | |
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SDK Availability Provision of software development kits for easier custom integration. |
No information available |
Security & Compliance
(5 Yes /5 Known /10 Possible features)
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Data Encryption Data stored and transmitted using modern cryptography standards. |
Data is encrypted in storage and in transit, as required for institutional clients. | |
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Audit Logging Maintains a complete log of access and actions for compliance. |
Audit trails available for enterprise clients with regulatory requirements. | |
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Regulatory Certifications Possession of certifications such as GDPR, CCPA, SOC2 relevant to data compliance. |
GDPR/CCPA compliance referenced in product whitepapers and customer FAQs. | |
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User Access Controls Granular user and group-based permissioning on data and analytics. |
Granular controls referenced for institutional permissions structure. | |
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Penetration Testing Regular vulnerability/pentesting assessments are performed. |
No information available | |
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Privacy Protection Guarantees regarding data subject anonymity and privacy protection. |
Summary anonymization and privacy guarantees for raw content data. | |
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Data Residency Options Ability to specify jurisdictions where data is stored or processed. |
No information available | |
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Third-party Data Sharing Controls Restrictions/controls over redistribution of consumed data. |
No information available | |
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Security Incident Notification Automated alerting regarding breaches or suspicious activity. |
No information available | |
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Vendor Diligence Support Facilitates client due diligence workflows (DDQ, supporting docs, etc). |
No information available |
Performance & Scalability
(2 Yes /2 Known /10 Possible features)
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Concurrent User Capacity Maximum number of active users supported simultaneously. |
No information available | |
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Query Response Time Median time taken to return analytics or data queries. |
No information available | |
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Data Ingestion Rate Volume of new data processed per unit of time. |
No information available | |
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Uptime SLA Service Level Agreement (SLA) on platform operational uptime. |
No information available | |
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Peak Data Storage Capacity Maximum volume of data the platform can host. |
No information available | |
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Elastic Compute Scaling Automatic scaling of compute resources to match workload. |
No information available | |
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Parallel Processing Support Ability to process multiple data streams or queries concurrently. |
Processes social and news feeds concurrently; required for real-time analytics at scale. | |
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Data Retention Policy Flexibility Configurable data storage retention periods. |
Configurable history retention settings for enterprise clients. | |
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Performance Monitoring Tools Built-in dashboards or reporting for platform health and performance. |
No information available | |
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Batch Processing Support Efficient support for large batch data operations. |
No information available |
User Support & Documentation
(4 Yes /4 Known /10 Possible features)
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Onboarding Support Personalized setup, initial training, and account configuration help. |
Hands-on onboarding, setup, and technical support described on product site. | |
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Knowledge Base Extensive searchable documentation and tutorials. |
Online searchable support docs and API user guides available. | |
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Data Dictionary Comprehensive descriptions of each data field and its origin. |
Detailed online data dictionaries are published for each sentiment measure/field. | |
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API Documentation Completeness Detail and clarity of technical integration guidelines. |
API integration documentation is cited in the developer portal. | |
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Dedicated Account Management Assigned customer success managers for enterprise users. |
No information available | |
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Live Chat Support Immediate support via chat with platform staff. |
No information available | |
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User Training Workshops Regularly scheduled or on-demand platform training. |
No information available | |
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Community Forum User-to-user interaction and support hub. |
No information available | |
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Localization Support Availability in multiple languages and time zones. |
No information available | |
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Feedback Mechanism Ability for users to suggest features or report issues and track resolution. |
No information available |
Pricing & Contract Flexibility
(8 Yes /8 Known /10 Possible features)
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Usage-Based Pricing Option for pricing tied to volume or levels of consumption. |
Describes flexible usage-based and volume-based pricing on website. | |
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Tiered Subscription Models Multiple service tiers for diverse needs and budgets. |
Multiple pricing/feature tiers outlined for SMB, pro, and enterprise. | |
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Custom Enterprise Agreements Ability to negotiate bespoke terms for large clients. |
Enterprise clients can negotiate special terms (as stated in support docs). | |
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Transparent Fee Structures Upfront and clear disclosure of fees across all services. |
Pricing and fee transparency described as a competitive differentiator. | |
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Free Trial Availability Short-term trial or demo use before commitment. |
Free trial or sample data access available after contacting sales. | |
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Minimum Contract Term Shortest term for standard agreements. |
No information available | |
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Add-On Modules Pricing Clarity and flexibility of pricing for optional advanced modules. |
Advanced analytics, geospatial, and asset-class extensions priced separately with transparent add-on fees. | |
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Early Termination Options Availability of low-penalty or pro-rata contract cancellation. |
Early termination/cancellation is possible (terms published). | |
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Unlimited User Pricing Flat-rate pricing not tied to user count. |
No information available | |
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Nonprofit/Educational Discounts Special pricing for academic or nonprofit organizations. |
Discounted pricing for educational and non-profit researchers is mentioned on the site. |
Customization & Extensibility
(4 Yes /4 Known /10 Possible features)
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Custom Dashboard Building Ability to design and save custom dashboards for specific analyses. |
Custom dashboards can be built via API export and visualization tools. | |
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Workflow Automation Integration with tools for process automation (e.g., alerts, trade signals). |
No information available | |
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Custom Data Ingestion Upload and merge a client’s own alternative or proprietary data. |
No information available | |
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Plugin/Extension Framework Ability to add modules/extensions for new functionalities. |
No information available | |
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Scripting/Programming Interface Support for custom script development (e.g., Python, R APIs). |
API documentation details support for programming access via Python and R. | |
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Theming/Branding Customization Visual customization for brand consistency. |
No information available | |
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Custom Reporting Design and automate custom report formats. |
Allows for custom CSV/JSON report generation and scheduled reports. | |
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Alert Customization User-defined conditions and triggers for event-driven alerts. |
No information available | |
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Integration with In-House Tools Ability for organization-specific connectors/modules. |
No information available | |
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Deploy in Private Cloud Support for on-premises or VPC deployment for sensitive clients. |
Some clients reference use in private/hybrid clouds for sensitive data use cases. |
Vendor Stability & Reputation
(2 Yes /3 Known /10 Possible features)
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Years in Business How long the platform provider has operated. |
No information available | |
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Referenceable Clients Number of notable clients willing to provide references. |
No information available | |
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Third-Party Reviews Number and quality of external analyst or customer reviews. |
No information available | |
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Legal Disputes Disclosed History of significant legal action or unresolved disputes. |
Not as far as we are aware.* No history of legal disputes or litigation is disclosed on the company info page. | |
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Financial Transparency Annual financial reporting or third-party audits available. |
No information available | |
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Industry Partnerships Participation in alliances or consortia that enhance credibility. |
Participates in several industry partnerships, e.g., with Refinitiv. | |
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Churn Rate Percentage of clients discontinuing service per year. |
No information available | |
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Client Growth Rate Annual increase in platform users or logos. |
No information available | |
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Awards/Industry Recognition Recognition by reputable industry organizations. |
No information available | |
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Business Continuity Plan Documented and tested plans for disaster recovery and service resilience. |
Business continuity/disaster recovery outlined for institutional clients in onboarding. |
Innovation & Forward-Looking Capabilities
(2 Yes /2 Known /10 Possible features)
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AI/ML Model Upgrades Frequency of innovation or upgrades in analytic and predictive engines. |
No information available | |
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New Data Source Integration Rate How quickly new alternative data sources are made available to users. |
No information available | |
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Participates in Data Consortiums Active member of data-sharing or standards organizations. |
No information available | |
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Visualization Innovation Frequency of new or advanced visualization techniques introduced. |
No information available | |
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Beta Testing/Client Feature Input Mechanisms for early adopter programs or client-driven roadmap. |
No information available | |
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Academic Collaborations Partnerships with universities for applied research. |
Engaged in several university-based predictive modeling studies and academic partnerships. | |
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Open Data Initiatives Support or contribution to open alternative data/tech communities. |
No information available | |
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Data Science Sandbox Environment for clients to experiment with new data and analytics. |
No information available | |
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API Versioning and Roadmap Disclosure Transparent release plans and versioning for APIs and tech. |
No information available | |
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Cross-Asset Data Opportunities Support for new data categories relevant across markets (e.g., ESG, crypto). |
Covers market sentiment on equities, crypto, and other asset classes including ESG mentions. |
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