AI Agent Stack for Tokyo and Japan's Startup Capital
Tokyo pairs a city government startup program with university labs that study intelligence in the real world. If you need an AI agent API Tokyo teams can share, an AIエージェント on one SandBase key, that key also reaches models, data APIs, hosted sessions, and a sandbox.
A product group in the city may already have a model. Market data, the agent that keeps the brief, and a place to run the script are still other contracts. SandBase is the shared account:
A catalog of 2,000+ models and data APIs on 100+ platforms, paid from one balance
Agents you store and Sessions you open, in the OpenAI Agents shape and in OpenAgentCore
An E2B-compatible sandbox when the task must touch a file or run a command
Agents and sandboxes can begin without a charge. Data APIs that qualify share 100 free calls each day for the organization, resetting at 00:00 UTC. Model calls are priced on the listing, apart from that daily pool.
The base URL is https://api.sandbase.ai/v1. Pass Authorization: Bearer $SANDBASE_API_KEY.
What public pages say about Tokyo
These pages describe the city and the country. They are not a SandBase office.
In the GSER 2026 Top 40, Tokyo is #12 globally and #5 in Asia. The Tokyo section lists the Tokyo Metropolitan Government as a member. Governor Yuriko Koike is quoted on TIB and SusHi Tech Tokyo, and on upgrading to Startup Strategy 2.0 so startups, large corporations, and SMEs can grow together. The same section says SusHi Tech Tokyo recorded 750+ startups, 10,000 business meetings, and 60,000 participants in 2026. Startup Genome’s Tokyo profile is the public page for that profile.
The University of Tokyo AI Center says its director has led the Next Generation Artificial Intelligence Research Center since 2016. The center is an inter-school organization, and its research focus is “dynamic real-world intelligence” and “human artificial intelligence.” Its purposes include joint work with industry and the creation of startups.
A Digital Agency outline notes that the Tokyo Metropolitan Government formulated an AI strategy in July 2025. The excerpt says that when the city government uses AI, transparency and fairness should stay in view.
SandBase is the API under that mix of a city startup program and a university intelligence lab: one key, rather than a fresh vendor for every dataset.
Tokyo workflows
1. A cited note before a SusHi Tech week
Two people in Tokyo need a short comparison of a sector, in Japanese or English, with duplicate posts removed. One Agent, the data APIs, and a Session replace the stack of logins they used the night before the meetings.
2. Keep the OpenAI Agents client on a mobility prototype
The demo already calls client.beta.agents. Set base_url to https://api.sandbase.ai/v1, leave that client, and add SandBase data tools plus a sandbox so a reviewer can see the sources behind a real-world mobility answer.
3. A sandbox during a TIB program
A small team using Tokyo Innovation Base wants an agent sandbox in Tokyo on a key it already holds. Paste set up https://www.sandbase.ai/SKILL.md into the assistant, sample the catalog, and keep that key when the program demo becomes a hosted Agent.
A first session from Tokyo
Issue the organization key in the Console for the Japanese team.
Write the Agent with POST /v1/agents or the OpenAI SDK: model, instructions, and tools.
Once projection_status reads ready, start a Session and send the task.
For files or a script, aim the E2B SDK at https://sandbox.sandbase.ai.
Or hand the assistant SKILL.md so it can pick a model from the catalog.
The OpenAI Python SDK pattern from the SandBase docs, with instructions for Tokyo and Japanese readers.
Python
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["SANDBASE_API_KEY"],
base_url="https://api.sandbase.ai/v1",
)
agent = client.beta.agents.create(
model="deepseek/deepseek-v4-flash",
name="Tokyo startup brief",
instructions=(
"Write for a Tokyo and Japanese startup audience. "
"Compare more than one source and cite each."
),
metadata={"city": "tokyo", "team": "japan"},
)
print(agent.id, agent.version) # agt_..., 1
# Open a Session only after projection_status is ready.
The #12 global rank, the #5 Asia rank, the SusHi Tech Tokyo attendance figures, and the governor’s TIB line are Startup Genome’s for GSER 2026. The University of Tokyo is the source for the AI Center description. The Digital Agency outline is the source for the July 2025 Tokyo AI strategy and the transparency and fairness line. SandBase does not publish a Tokyo phone number, a street address, or a city-specific latency SLA on this page.
FAQ
Is SandBase an AI agent API for Tokyo teams?
Yes. SandBase is a global API, and this page is the Tokyo guide. Product teams and labs in the city, and elsewhere in Japan, use one key for models, data APIs, Agents and Sessions, and sandboxes. You do not have to be in Tokyo to call it.
Does SandBase have a Tokyo office or a Japan phone line?
No. The product is an API. This guide describes the local startup and research market. It does not announce a public office or a local phone line.
Can a team keep the OpenAI Agents SDK?
Yes. Set base_url="https://api.sandbase.ai/v1" and keep client.beta.agents. The key then also reaches SandBase models, data APIs, hosted OpenAgentCore, and E2B-compatible sandboxes.
Does each model or data vendor need its own key?
No. One SandBase key covers the models and APIs on the platform. Keep it on a server. Do not put it in a browser bundle.
How do charges and the daily data allowance work?
Spend comes from the SandBase balance, and each listing shows its price and unit. Agents and sandboxes can run with no charge. Eligible data APIs share 100 free calls per day per organization and reset at 00:00 UTC. Further calls bill at the listed rate. Model calls are separate.