AI Agent Stack for Singapore: Models, Data APIs & Sandboxes

A regional product group in Singapore usually has the model. What it does not have is one account that also reaches live data, keeps the run, and executes the script. SandBase is that account:

• 2,000+ models and data APIs on 100+ platforms, paid from one balance
• Agents you define once and run as hosted Sessions, in the OpenAI Agents and OpenAgentCore shapes
• An E2B-compatible sandbox for the files and commands the agent produces
• SKILL.md, so a local assistant can find a tool, read it, and call it

Agents and sandboxes can start without a charge. Eligible data APIs draw on 100 free calls per day per organization, resetting at 00:00 UTC. Model tokens are billed apart from that pool—check the listing first.

Call https://api.sandbase.ai/v1 and authenticate with Authorization: Bearer $SANDBASE_API_KEY.

These pages describe the city. They are not a SandBase address or a local support line.

• Startup Genome’s Singapore profile for the Global Startup Ecosystem Report 2026 ranks the city #8 globally and #2 in Asia, #3 in Asia for its AI-native cluster, inside the global top 10 for funding momentum and the global top 15 for talent. Enterprise Singapore is listed as a member.
• Singapore’s National AI Strategy is the Smart Nation page for how AI is used for public good, innovation, and growth, with strategy documents from 2019 to 2026.
• AI Singapore, launched in May 2017, brings together Singapore-based research institutions and the ecosystem of AI start-ups and companies.

SandBase is the API under that kind of work: one key a regional team can attach to an agent before the next ASEAN review.

1. Mint a SandBase API key in the Console for the organization.
2. Declare an Agent: model, instructions, tools, via POST /v1/agents or the OpenAI SDK.
3. Only after projection_status equals ready, create the Session and send input.
4. If the job writes files or runs code, use the E2B SDK against https://sandbox.sandbase.ai.
5. Or hand the assistant SKILL.md for discover, then inspect, then run.

Walkthroughs: Docs · Agents API · Sandbox quickstart

Documented OpenAI Python SDK usage, with instructions written for a Singapore and APAC audience.

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="Singapore regional brief",
    instructions=(
        "Write for a Singapore and Southeast Asia product audience. "
        "Compare two or more sources and cite every one."
    ),
    metadata={"city": "singapore", "team": "apac"},
)

print(agent.id, agent.version)  # agt_..., 1
# Do not open a Session before projection_status is ready.

curl -X POST https://api.sandbase.ai/v1/agents/sessions \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"agent_id": "agt_..."}'

Files and scripts go in a sandbox. Use the Sandbox quickstart.

Looking for an AI agent API Singapore groups can use without leaving the OpenAI Agents SDK? SandBase is that compatible API, with data tools and a sandbox included.

Quote these public pages. Do not add a SandBase office, a phone number, or a latency claim for the city:

• Startup Genome — Singapore ecosystem
• Singapore National AI Strategy
• AI Singapore

The rankings and the member name come from Startup Genome’s Singapore page. The strategy page is Smart Nation’s. AI Singapore’s own description is the May 2017 launch line about research institutions, start-ups, and companies. SandBase does not claim a public Singapore phone number or a city-specific latency SLA on this page.