dgi
DG-i (DGi) is an AI data agent by Datagran that provides an API-first platform for securely querying, automating, and visualizing data from connected sources, with scheduling, web automation, and a visual app builder for developer and enterprise workflows.
dgi is business intelligence software teams evaluate for business intelligence. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: Business Intelligence
What it does
Business Intelligence software for decision-makers comparing workflow fit and alternatives.
Best fit
Business Intelligence
Pricing snapshot
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Next step
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dgi
DG-i (DGi) is presented as an AI Data Agent built for developers and enterprises by Datagran. The platform exposes an API (api.dgintel.ai) that lets clients create chat sessions, submit tasks/questions against connected data sources, upload files, schedule jobs, and build interactive dashboards. It emphasizes enterprise-grade security (double-envelope encryption, AES-256 at rest, TLS 1.3, zero-knowledge architecture) and aims to let internal or external clients ask questions about their data embedded within a customer's platform.
The product targets developer and business workflows that require secure access to data across databases and cloud storage, automated scheduled processing, web automation, and the ability to build and deploy interactive analytic apps using a visual builder.
DGi is an AI-powered data platform that builds workflows, code, and BI dashboards.
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Claim this listingKey Features
API-first Chat & Task Execution
Create sessions and tasks via endpoints (e.g., /v2/session/new, /v2/{session_id}/task/new) to ask questions of data and receive analyses or actions based on those tasks.
Connect Any Data Source
Native connectors and support for PostgreSQL, MySQL, BigQuery, Snowflake, AWS S3, and CSV/Excel uploads to query and analyze data from multiple sources.
Double-Envelope Encryption & Zero-Knowledge
Security features highlighted include double-envelope encryption, AES-256 encryption at rest, TLS 1.3 for data in transit, and a zero-knowledge architecture so data never leaves customer infrastructure.
File Uploads & Visualization
Upload CSV files via the files/upload API and create visualization tasks (example: 'Create a dashboard from the uploaded CSV').
Scheduler & Orchestration
Natural-language and cron-based scheduling for jobs with real-time execution and auto-retry on failure (example /v2/schedule-job).
Visual Builder for Interactive Apps
A drag-and-drop visual builder to build analytics dashboards and mobile-responsive apps with real-time updates and export-ready outputs.
Web Automation APIs
APIs to programmatically navigate websites, extract data, and automate web workflows (examples include scraping and extracting top news or competitor site data).
Benchmarked Performance
Published benchmark results comparing accuracy and uptime against other models/tools (claims of superior accuracy and uptime).
Pricing
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Use Cases
Interactive Data Q&A
Embed DG-i into a platform so internal or external clients can ask questions about their data and receive analyses via API-driven chat sessions and tasks.
Scheduled Reporting & Automation
Automate recurring analytical jobs and reports using cron or natural-language schedules with retry and real-time execution features.
Dashboarding and App Building
Use the visual builder to create interactive analytics dashboards from connected databases or uploaded CSVs and deploy mobile-responsive views.
Web Scraping and Competitive Intelligence
Programmatically navigate websites, extract and analyze competitor or market data using web automation APIs.
Secure Data Integrations
Connect enterprise data sources (Postgres, MySQL, BigQuery, Snowflake, S3) while keeping credentials encrypted and maintaining a zero-knowledge posture.
Integrations
PostgreSQL
Direct database connector for querying and analysis.
MySQL
Direct database connector for querying and analysis.
BigQuery
Connector for Google BigQuery data warehouses.
Snowflake
Connector for Snowflake data warehouses.
AWS S3
Object storage connector for accessing files and data.
CSV/Excel Upload
Upload CSV or Excel files to sessions for analysis and dashboard creation.
Benefits
Limitations
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Frequently Asked Questions
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Getting Started
- 1 Get an API key and add it to Authorization: Bearer <YOUR_API_KEY> for requests.
- 2 Test the API with the hello endpoint: GET https://api.dgintel.ai/v2/hello.
- 3 Create a session: POST https://api.dgintel.ai/v2/session/new.
- 4 Create tasks in a session to analyze data or build dashboards: POST https://api.dgintel.ai/v2/{session_id}/task/new with your question.
- 5 Connect data sources or upload files: POST https://api.dgintel.ai/v2/connections/new or POST https://api.dgintel.ai/v2/{session_id}/files/upload.
- 6 Schedule jobs: POST https://api.dgintel.ai/v2/schedule-job with cron or natural-language schedule.
Support
Send inquiries or messages to [email protected] (contact provided on the site).
docs
API examples and curl snippets are provided on the site as usage documentation (examples include session, task, files/upload, connections/new, schedule-job).
API
https://www.dgintelligence.ai/ (API endpoints and curl examples are shown on the site)
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