AI Agent Infrastructure for New York Builders

A Manhattan or Brooklyn product group rarely needs another model logo. It needs one infrastructure layer that a research associate, an agency producer, and a founding engineer can share. SandBase is that layer:

• Reach 2,000+ models and data APIs on more than 100 platforms from a single balance
• Save an Agent and run it as a hosted Session, using the same shapes as the OpenAI Agents API and OpenAgentCore
• Execute the agent’s code in an E2B-compatible sandbox when the task needs files or a script
• Let Cursor, Claude Code, or another local assistant find those tools through SKILL.md

Agents and sandboxes can start without a charge, and eligible data APIs include 100 free calls per day for each organization (the counter resets at 00:00 UTC). Model tokens still draw from the SandBase balance—read the listing before a large run.

Send traffic to https://api.sandbase.ai/v1 with Authorization: Bearer $SANDBASE_API_KEY.

The city stacks markets, media, and applied research on one transit map. A brief written in the Financial District may be reviewed in Midtown, prototyped in Flatiron or Dumbo, and staffed by people who also pass through Cornell Tech on Roosevelt Island.

Public ecosystem pages, not a SandBase storefront, describe that density:

• Startup Genome’s New York City profile lists the city #2 in its global startup ecosystem ranking and #3 in its AI-native cluster.
• Cornell Tech is the Roosevelt Island campus where Cornell and Technion run applied engineering, studio startups, and product programs.
• NYCEDC is the city’s economic-development corporation, charged with growth across all five boroughs—the same geography where finance, advertising, and software teams hire.

SandBase fits that mix: one key, Agents-compatible calls, and a sandbox a team can show in a client review the same afternoon.

1. Open the Console and issue a SandBase API key.
2. Create the Agent—model, instructions, and tools—with POST /v1/agents or the OpenAI SDK.
3. After projection_status: ready, open a Session and send the task.
4. When the task needs files or a script, call the E2B SDK at https://sandbox.sandbase.ai.
5. Or give the assistant SKILL.md so it can discover a tool, inspect it, and run it.

Longer paths: Docs · Agents API · Sandbox quickstart

Same documented OpenAI Python SDK pattern, aimed at a New York research 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="NYC market brief",
    instructions=(
        "Write for a New York research and product audience. "
        "Compare at least two sources and cite each one."
    ),
    metadata={"city": "new-york", "team": "research"},
)

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_..."}'

Scripts and files belong in a sandbox. Start with the Sandbox quickstart.

Searching for an AI agent platform New York groups can adopt without dropping the OpenAI Agents SDK? SandBase is the compatible route, with a wider catalog behind it.

Cite public pages when you talk about New York. Do not invent a SandBase office, a phone number, or a latency number for the city:

• Startup Genome — New York City ecosystem
• Cornell Tech
• New York City Economic Development Corporation

Useful neighborhood context: the Financial District for markets and fintech, Midtown for media and agencies, Flatiron and SoHo for product studios, Dumbo for Brooklyn product teams, and Cornell Tech on Roosevelt Island for the campus pipeline. SandBase does not claim a public New York phone number or a city-specific latency SLA on this page.