Start building

Turn a task into a deliverable Agent.

Define the goal, configure Models, APIs, and Skills, test once in a live run, then deliver to a product, an AI tool, or a schedule. All in one continuous workspace.

Open Agent BuilderStart from a blueprint
One Agent workflow
  1. 01Define
  2. 02Configure
  3. 03Test

One configuration

Runnable Agent

Choose delivery

  1. API endpoint
  2. AI tools
  3. Scheduled jobs
Continuous Agent builder
1
Ways to deliver
3
Trace for every run
1

Define the work, configure it, test it, then deliver.

Every step continues on the same Agent configuration, instead of splitting definition, setup, and release into three products that repeat each other.

  1. 01 · Define

    Define the work

    Goal, inputs, instructions, expected output, and success criteria.

    TaskInputsOutput

  2. 02 · Configure

    Configure capabilities

    Choose a model, connect real services, and set permissions for each action.

    Claude SonnetStripeHubSpotSlack

  3. 03 · Test

    Validate with a run

    Check the result, the call trace, duration, cost, and failure recovery.

    ResultTraceCost

Deliver

  • API endpoint
  • AI tools
  • Scheduled jobs

Two entry points, one Agent runtime.

AI tools and Agents connect over MCP; products, backends, and self-hosted Agents connect over the API and SDK. Both paths share authorization, policy, execution, and audit.

  • MCP

    AI tools and Agents

    ClaudeChatGPTCodex

  • API / SDK

    Products and backends

    TypeScriptPythonYour backend

Governance layer

  • Auth
  • Policy
  • Runtime
  • Audit

api.sandbase.ai

Real services

  • Gmail
  • Slack
  • Notion
  • HubSpot
  • GitHub
  • Stripe
  • Google Docs
  • Webflow

and 100+ more services

AuthUnified authorization
OAuth, API keys, and user connections, managed in one place.
PolicyUnified policy
Limit the services, accounts, and actions an Agent may use.
RuntimeUnified execution
Retries, rate limits, error recovery, and structured output.
AuditUnified trace
Records the caller, input, duration, cost, and result of every call.

Define the work as an executable configuration.

The goal on the left, models and services in the middle, results and permissions on the right. Not a concept diagram: an Agent that is ready to run.

Agent builder Renewal Risk AgentTest run

Job

Agent objective

Identify accounts with renewal risk and notify the right owner.

Success criteria

  • Identify risk
  • Update the CRM
  • Send one actionable alert

Capabilities

Model

Claude SonnetReasoning + structured output

Connected services

  1. Stripe
  2. HubSpot
  3. Slack

Action policy

Allowed actions

  • StripeRead subscription
  • HubSpotUpdate risk status
  • SlackSend alert

User-scoped authentication

Prove it runs before you deliver it.

One test checks the result, the service call trace, latency, cost, and error recovery, and turns “it works” into evidence.

Test input

Acme Inc.

  • Renewal in 21 days
  • Payment failed twice in a row

Run again

Run #0042Completed6.8s · $0.034

  1. 01StripeSubscription risk detected1.2s
  2. 02HubSpotRisk status updated2.1s
  3. 03SlackAccount owner alerted0.8s

ResultHigh renewal risk · Account owner notified with the next action.

One Agent, three ways to deliver it.

After the test there is nothing to rebuild. Bring the same configuration into an AI tool, publish it as an Endpoint, or hand it to a schedule.

  • Recommended

    Use in AI tools

    Claude, ChatGPT, and Codex call this Agent directly over MCP.

    MCP · One connection

    $ curl -fsSL https://sandbase.ai/install.sh | sh

  • API endpoint

    Call it from your SaaS, your backend, or your own Agent over the API or SDK.

    API / SDK · Versioned

    Developer access

  • Scheduled jobs

    Trigger it by time, event, or business state, and keep the full run history.

    Trigger · Monitor

    Set a schedule

Start from executable work, not an empty configuration.

Pick a proven workflow, change the goal, capabilities, and delivery, and make it your own Agent with one test.

  • Sales

    Lead Research Agent

    1. Exa
    2. HubSpot
    3. Notion

    Research new leads, fill in company and contact details, and write a complete research record.

    Input
    New lead
    Delivers
    CRM record + research notes
    Build this Agent

  • Customer success

    Renewal Risk Agent

    1. Stripe
    2. HubSpot
    3. Slack

    Spot payment or renewal anomalies, update the customer’s risk status, and alert the team.

    Input
    Payment status change
    Delivers
    Risk record + alert
    Build this Agent

  • Engineering

    Incident Response Agent

    1. Sentry
    2. GitHub
    3. Linear

    Read high-priority errors, find the related code, and open engineering tasks.

    Input
    High-priority error
    Delivers
    Diagnosis + engineering task
    Build this Agent

  • Operations

    Daily Summary Agent

    1. Gmail
    2. Notion
    3. Slack

    Sort important email and to-dos into a summary that is ready to send to the team.

    Input
    The day’s business signals
    Delivers
    Summary + notification
    Build this Agent

  • Content

    Content Publishing Agent

    1. Google Docs
    2. Webflow
    3. Slack

    Read approved content, publish the page, and share the final link with the team.

    Input
    Approved document
    Delivers
    Live page + link
    Build this Agent

  • Your work

    Start from your own work

    Define the input, the result, and where it should go.

    • Job
    • Capabilities
    • Success criteria
    • Delivery
    Open a blank Agent

Agent configured? Let it deliver on a real cadence.

Set triggers, timezones, retries, and delivery targets, or check a live run directly.

Schedule Agent workMonitor Agent runs