AI Agent Stack for Abu Dhabi and the UAE Capital

A fund or a product group in the emirate may already hold a model contract. The data feed, the agent that keeps the memo, and a machine for the script are still other bills. SandBase is the account they can share:

• A catalog of 2,000+ models and data APIs on 100+ platforms, against one balance
• Stored Agents and new Sessions, matching OpenAI Agents and OpenAgentCore
• An E2B sandbox when the work must read a file or run a command
• SKILL.md for the assistant already open on the desk

Agents and sandboxes may begin with no charge. Data APIs that qualify share 100 free calls a day per organization, and the pool resets at 00:00 UTC. Model calls are priced on their own listing.

The endpoint is https://api.sandbase.ai/v1. Authorize with Authorization: Bearer $SANDBASE_API_KEY.

These public pages describe the emirate. They are not a SandBase office, and this guide is not the Dubai page.

• Hub71’s note on GSER 2026 says Startup Genome ranked Abu Dhabi #41–50 among emerging ecosystems, up from #51–60, with $73.4 billion of ecosystem value from July 2023 through December 2025. The same note ranks the emirate #2 in MENA for its AI-native cluster. In the GSER 2026 regional list, Abu Dhabi is #4 in MENA.
• Hub71 describes itself as the platform that connects founders with investors, corporates, regulators, and market access. That is the capital-and-company layer of the emirate, separate from a research campus.
• MBZUAI says it is the world’s first university dedicated entirely to artificial intelligence, based in Abu Dhabi, funded by the Abu Dhabi Government, and governed with the Artificial Intelligence and Advanced Technology Council.

SandBase is the API under that mix of sovereign-backed company building and a specialist AI university: one key, rather than a new vendor for every model.

1. Issue one organization key in the Console for the emirate team.
2. Register the Agent with POST /v1/agents or the OpenAI SDK: model, instructions, and tools.
3. When projection_status is ready, open a Session and send the task.
4. For files or a script, aim the E2B SDK at https://sandbox.sandbase.ai.
5. Or give the assistant SKILL.md and let it look up the catalog.

Longer paths: Docs · Agents API · Sandbox quickstart

The OpenAI Python SDK pattern from the SandBase docs, with instructions for Abu Dhabi and UAE capital readers.

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="Abu Dhabi capital brief",
    instructions=(
        "Write for an Abu Dhabi and UAE capital audience. "
        "Compare more than one source and cite each."
    ),
    metadata={"city": "abu-dhabi", "team": "uae-capital"},
)

print(agent.id, agent.version)  # agt_..., 1
# Open a Session only after 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_..."}'

Keep scripts and files in a sandbox. Start with the Sandbox quickstart.

If you searched for an AI agent API Abu Dhabi teams in the UAE capital can adopt while keeping the OpenAI Agents SDK, SandBase is that API. Builders in Dubai use the separate Dubai guide.

Use these public pages. Do not add a SandBase office, a phone number, or a latency figure for Abu Dhabi:

• Hub71 — GSER 2026 note
• GSER 2026
• MBZUAI — about

Hub71 is the source for the emerging-ecosystem band, the $73.4 billion figure, and the MENA AI-native rank, which it attributes to GSER 2026. The GSER regional list is the source for Abu Dhabi’s #4 place in MENA. MBZUAI is the source for the university description. SandBase does not publish an Abu Dhabi phone number, a street address, or a city-specific latency SLA on this page.