HEAVY.AI
HEAVY.AI is a GPU-accelerated analytics platform (formerly OmniSci / MapD, now part of NVIDIA) built to interactively query and visualize very large, often geospatial and time-series, datasets. It pairs an open-source, GPU-accelerated SQL database (HeavyDB) with a server-side rendering engine (HeavyRender) and a web-based visual analytics application (Heavy Immerse). Developers interact with the platform through native SQL, an Apache Thrift API, JDBC/ODBC drivers, the heavysql command-line console, a Python data-science client (heavyai) and a JavaScript connector (@heavyai/connector), plus a Vega-based rendering API. The documentation is published on the NVIDIA docs site and exposes an llms.txt index and a hosted MCP server for AI agents.
HEAVY.AI is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Analytics, Database, and GPU.
HEAVY.AI’s developer surface includes documentation, API reference, getting-started guide, changelog, CLI, authentication, and 11 more developer resources.
Kin Score
Standards implemented 1
Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
HEAVY.AI Platform APIs
The developer interfaces to the HEAVY.AI platform: native SQL against the GPU-accelerated HeavyDB engine, an Apache Thrift API, JDBC/ODBC drivers, the heavysql CLI console, a Py...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Company 1
The organization behind the API
Source (apis.yml)
HEAVY.AI API — frequently asked questions
Does HEAVY.AI have an API?
Yes. APIs.io lists 1 API from HEAVY.AI, including HEAVY.AI Platform APIs.
How do I authenticate with the HEAVY.AI API?
HEAVY.AI uses bearer-token authentication (username-password/tls · 2 schemes). The details are profiled on APIs.io as Heavyai Authentication.
Does HEAVY.AI have an MCP server?
Yes. APIs.io lists 1 MCP server for HEAVY.AI: Remote MCP server at docs.nvidia.com over HTTP.
Is the HEAVY.AI API ready for AI agents?
HEAVY.AI has a Kin Score of 21.0 out of 100 (emerging) and an Agent Readiness score of 6.0 (agent-aware), scored by API Evangelist on 2026-11-02.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.