San Francisco · AI agents
San Francisco is where AI agent products get designed, demoed, and shipped. If you are searching for an AI agent API in San Francisco, SandBase gives Bay Area builders one key for models, real-world data APIs, hosted agents/sessions, and code sandboxes—so you spend time on product, not provider glue.
Paste set up https://www.sandbase.ai/SKILL.md into your AI assistant
SandBase is the AI agent infrastructure layer San Francisco startups use when they need more than a single model endpoint. With one SandBase API key you can:
Free agents and sandboxes are available, and eligible data APIs include 100 free calls per day per organization (resets 00:00 UTC). Model usage is billed from your SandBase balance—check each model or API page before you run it.
Base URL: https://api.sandbase.ai/v1 · Auth: Authorization: Bearer $SANDBASE_API_KEY
The Bay Area remains the densest place on earth to build and sell agent products—from SoMa and Mission Bay offices to Stanford and UC Berkeley research pipelines feeding founder teams.
Independent rankings back that up:
SandBase is built for that pace: one key, OpenAI Agents-compatible APIs, and sandboxes you can wire into a demo before your next Mission Bay standup.
A two-person team near Townsend Street needs a live brief before investor meetings: pull recent X posts and docs about a vertical, dedupe in a sandbox, and return a cited memo. With SandBase they create one agent, attach data APIs, and run the job in a Session—without stitching three vendor keys the night before the pitch.
A product eng migrating from a pure OpenAI Agents prototype points the OpenAI SDK at https://api.sandbase.ai/v1, keeps client.beta.agents, and adds SandBase data tools plus a sandbox for deterministic eval scripts. Same mental model; broader toolkit for Bay Area customers who expect multi-model and multi-source agents.
Students and early founders around campus (and the companies they join after) need an agent sandbox in the Bay Area workflow that starts free and stays portable. Paste set up https://www.sandbase.ai/SKILL.md into Cursor or Claude Code, discover APIs, then graduate the same key into a hosted Agent when the prototype sticks.
POST /v1/agents or the OpenAI SDK).projection_status: ready, then create a Session and send input.https://sandbox.sandbase.ai).Full walkthrough: Docs · Agents API · Sandbox quickstart
Verified pattern from SandBase docs: OpenAI Python SDK with SandBase base URL.
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="SF research assistant",
instructions=(
"Research the question for a San Francisco AI startup audience. "
"Compare at least two sources and cite them."
),
metadata={"city": "san-francisco", "team": "product"},
)
print(agent.id, agent.version) # agt_..., 1
# Start Sessions 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_..."}'Need an isolated workspace for scripts and files? Follow the Sandbox quickstart.
| Need | Typical DIY stack | With SandBase |
|---|---|---|
| Models | Separate keys per provider | One key, catalog of models |
| Real-world data | Custom scrapers / N vendor APIs | Discover & call data APIs on one balance |
| Agents | Homegrown runtime | OpenAI Agents / OpenAgentCore-compatible Agents + Sessions |
| Code execution | Self-hosted runners | E2B-compatible sandboxes on your SandBase key |
| Local AI tools | Manual MCP wiring | SKILL.md setup for Cursor, Claude Code, Codex, and more |
If you searched for an OpenAI Agents API alternative in SF, SandBase is designed as a compatible path with a wider toolkit—not a fork of your SDK habits.
Use public sources—not invented offices or latency claims—when you position SandBase for San Francisco:
Neighborhood context for copy and outreach: SoMa (product/eng density, Moscone corridor), Mission Bay (life-science + AI crossover), and the Stanford–Berkeley talent loop. SandBase does not claim a public storefront phone number or city-specific latency SLAs on this page.
Yes. SandBase is a global platform with city landing pages for geo SEO. San Francisco teams use the same one-key API for models, data APIs, Agents/Sessions, and sandboxes. There is no requirement to be physically in SF to use the product.
No. SandBase is API-first. This page highlights why SF demand for AI agents and agent infrastructure is high; it is not a claim that SandBase operates a public SF retail office.
You keep OpenAI Agents–compatible patterns (base_url="https://api.sandbase.ai/v1", client.beta.agents) while unlocking SandBase’s model/data catalog, hosted OpenAgentCore runtime, and E2B-compatible sandboxes under one key—useful when Bay Area demos need multi-source tools quickly.
No. One SandBase API key accesses the models and APIs available on SandBase. Keep the key server-side; never ship it in browser bundles.
Model and API usage bills from your SandBase balance—check each listing for price and unit. Free agents and sandboxes are offered; eligible data APIs share 100 free calls per day per organization (reset 00:00 UTC). Calls beyond the allowance are billed at listed prices; AI model calls are separate.
Get a key on sandbase.ai, skim the API reference, run the sandbox quickstart, or paste set up https://www.sandbase.ai/SKILL.md into your coding agent.
Ship your next agent with one SandBase key—models, data APIs, sessions, and sandboxes included.
Other pilot cities: New York · London · Singapore. Bengaluru is next. Its page is not published yet.