Tokyo Institute of Technology
Tokyo Institute of Technology (Tokyo Tech / Titech) was a national research university in Tokyo, Japan, ranked #76 in the QS World University Rankings 2025. In October 2024 it merged with Tokyo Medical and Dental University to form the Institute of Science Tokyo (Science Tokyo), and its public web presence now lives primarily at isct.ac.jp while legacy titech.ac.jp services remain online. Its public, machine-readable developer footprint is limited: the most clearly documented programmatic interface is the T2R2 (Science Tokyo / Tokyo Tech Research Repository) OAI-PMH metadata harvesting endpoint. Identity is federated through GakuNin using Shibboleth/SAML rather than a public OAuth/OpenID Connect API. No official institution-wide REST developer portal or open-data API was found.
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 Tokyo Institute of Technology the way a machine reads it — 7 machine-readable artifacts across 2 APIs, 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 — Tokyo Institute of Technology scores 23.2/100 (emerging), with a separate agent-readiness read of 16/100 (agent aware). 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 Tokyo Institute of Technology
Each block below is one kind of artifact we hold for Tokyo Institute of Technology. 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.
APIs 2
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
T2R2 Research Repository OAI-PMH
OAI-PMH 2.0 metadata harvesting interface for T2R2, the Science Tokyo / Tokyo Tech Research Repository operated by GSIC and the university library. Exposes records (papers, thes...
GakuNin Shibboleth Identity Provider (SAML)
SAML 2.0 / Shibboleth identity provider for institutional single sign-on, participating in Japan's GakuNin academic access management federation. This is a federated SAML authen...
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Tokyo Institute Of Technology Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Semantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Security Posture 1
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 Tokyo Institute of Technology — 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.
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
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/tokyo-institute-of-technology · machine-readable index on apis.io