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 is listed with 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
Markets this provider is in provisional
The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.
| Market | Position | Depth | Registered MCP server | Declares compatibility |
|---|---|---|---|---|
| Agent Skills (SKILL.md packages) | standard | 36.4 | - | 1 |
Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
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.
Agent Skills 2
Packaged agent skills for driving this provider's APIs from an AI assistant.
kumo-rfm-agent
AGENT SKILLkumo-tuning-agent
AGENT SKILLRate 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)
Kumo.AI API — frequently asked questions
Does Kumo.AI have an API?
Yes. APIs.io lists 2 APIs from Kumo.AI, including Kumo REST API and KumoRFM MCP Server.
How do I authenticate with the Kumo.AI API?
Kumo.AI uses bearer-token authentication (apiKey/snowflakeCredentials/http · 4 schemes). The details are profiled on APIs.io as Kumoai Authentication.
Does Kumo.AI have an MCP server?
Yes. APIs.io lists 1 MCP server for Kumo.AI: Remote MCP server at kumo-sdk-public.s3.us-west-2.amazonaws.com.
Is the Kumo.AI API ready for AI agents?
Kumo.AI has a Kin Score of 40.3 out of 100 (developing) and an Agent Readiness score of 15.0 (agent-aware), scored by API Evangelist on 2026-10-31.
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.