ModelOp
ModelOp is enterprise software for governing and operationalizing artificial intelligence at scale. Founded as Open Data Group and headquartered in Chicago, Illinois, it sells an "AI system of record" — the Enterprise AI Command Center, powered by the ModelOp AI Delivery Engine (MADE) and delivered as ModelOp Center — that lets large regulated organizations inventory every AI asset, automate the model lifecycle from intake through retirement, enforce governance and regulatory policy, and report on cost, risk and ROI across traditional machine learning, generative AI and agentic AI. The platform is customer-deployed (Helm chart on Kubernetes) with a REST-compliant microservices architecture, a `moc` CLI, OAuth 2.0/OIDC authentication against the enterprise's own identity provider, and 50+ integrations spanning cloud, AI/ML platforms, data, BI, GRC, ITSM and security systems. Because ModelOp Center runs inside the customer's own infrastructure, its Swagger UI and OpenAPI document are served only from a customer instance and are not published at any public URL.
ModelOp publishes 1 API on the APIs.io network. Tagged areas include AI Governance, Model Risk Management, Machine-Learning, MLOps, and ModelOps.
The ModelOp catalog on APIs.io includes 1 event-driven AsyncAPI specification.
ModelOp’s developer surface includes documentation, getting-started guide, support, engineering blog, CLI, authentication, changelog, and 12 more developer resources.
Kin Score
APIs 1
Individual APIs this provider publishes, each with its own machine-readable definition.
ModelOp Center REST API
The REST-compliant, microservices-based API of ModelOp Center. It exposes the governance inventory (StoredModel entities — Use Cases and Model Implementations), snapshots (immut...
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Modelop Rate Limits
RATE LIMITSEvent Specifications 1
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Modelop Runtime Streams
ASYNCAPISecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
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 2
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Source (apis.yml)
Work with this as data
Every provider here is available over the APIs.io API and to AI agents over MCP.