dgi

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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#223 in Business Intelligence (223 tools)
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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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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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Key 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

Enterprise-grade security with double-envelope encryption, AES-256 at rest, TLS 1.3, and zero-knowledge architecture.
Quick API integration with example curl commands to create sessions, tasks, upload files, create connections, and schedule jobs.
Comprehensive platform capabilities: data connectors, scheduling, visual app builder, and web automation in a single product.

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Get an API key and add it to Authorization: Bearer <YOUR_API_KEY> for requests.
  2. 2 Test the API with the hello endpoint: GET https://api.dgintel.ai/v2/hello.
  3. 3 Create a session: POST https://api.dgintel.ai/v2/session/new.
  4. 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. 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. 6 Schedule jobs: POST https://api.dgintel.ai/v2/schedule-job with cron or natural-language schedule.

Support

email

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

Available: Yes
Documentation:

https://www.dgintelligence.ai/ (API endpoints and curl examples are shown on the site)

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