Kumo.AI
Kumo.AI builds predictive AI for relational data. Its flagship model, KumoRFM, is a pre-trained Relational Foundation Model that generates training-free predictions over multi-table data by interpreting a data warehouse as a temporal heterogeneous graph, queried through a SQL-like Predictive Query Language (PQL). Kumo exposes this through a Python SDK (kumoai), a REST API for automating retraining and batch predictions, an open-source Model Context Protocol server (kumo-rfm-mcp) for agentic workflows, and a published Agent Skills catalog. It ships as SaaS, VPC/BYOC, a Snowflake Native Application, and a Databricks Native Application. Kumo product documentation is now hosted by NVIDIA under Structured Data and Graph Models.
Kumo.AI publishes 2 APIs on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Predictive Analytics, and Graph Neural Networks.
Kumo.AI’s developer surface includes documentation, API reference, getting-started guide, support, signup flow, authentication, changelog, and 23 more developer resources.
Kin Score
APIs 2
Individual APIs this provider publishes, each with its own machine-readable definition.
Kumo REST API
Automate and schedule predictive query training and batch predictions. Retrain a predictive query (re-ingesting data from the source), trigger recurring batch predictions, monit...
KumoRFM MCP Server
Open-source Model Context Protocol server that empowers AI assistants with KumoRFM. Builds, manages, and visualizes relational graphs directly from CSV or Parquet files, convert...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
Kumo.AI MCP Server
MCP SERVERRate Limits 1
Documented rate limits and quota policies.
Kumoai Rate Limits
RATE LIMITSSecurity Posture 4
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 3
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 4
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 6
Authentication, authorization, and security posture
Operate 5
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API
Source (apis.yml)
Work with this as data
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