Tensor9
Tensor9 is an enterprise BYOC (bring-your-own-cloud) / any-prem software deployment platform that lets software and AI vendors deploy their existing cloud-native stack into customer-owned environments — other public clouds, private VPCs, Kubernetes, or on-prem data centers — without rearchitecting. It compiles a vendor's existing infrastructure-as-code (Terraform/OpenTofu, CloudFormation, Helm, Docker Compose) into equivalent deployments, running a customer-side appliance and a digital twin so vendors get continuous updates, streamed observability, and zero-trust remote operations while customer data never leaves the customer's boundary. The programmatic surface is the tensor9 CLI / control plane (API-key authenticated); Tensor9 does not publish a public REST/OpenAPI API. Backed by Wing Venture Capital. SOC 2 Type II attested.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Tensor9 the way a machine reads it — 2 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Tensor9 scores 26.0/100 (emerging), with a separate agent-readiness read of 10/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Tensor9
Each block below is one kind of artifact we hold for Tensor9. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Tensor9 — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
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 1
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/tensor9 · machine-readable index on apis.io