ResearchSource-backed research
// From a question to a useful brief
Connect your agents.Run with Allfurdfr.
Models, real-world APIs and reusable agents, connected in one continuous workflow.
From a single API call to a reusable workflow. Put your agents to work with capabilities you can inspect.
Language modelsResearch APIsAgent workflowsSandbox runtimeDeveloper toolsRun history
Our approach
Connect the tools, define the work. Allfurdfr brings models, APIs and agent execution together in one practical workspace.
3
Free runs to get started
1
Key for your API workflows
3 min
Maximum sandbox run time
6
Reusable agent templates
Research agent
// The Allfurdfr approach
Our belief
We think intelligence should finish the work it starts. Give it the right capabilities, a place to run and a clear result. Keep the inputs, outputs and decisions close enough to inspect.
Discover
Find a capability that fits the work.
Compose
Give your agent instructions and tools.
Run
Execute in a bounded cloud sandbox.
Inspect
Read the trace. Download the result.
Working patterns for builders, researchers and operators. Choose a starting point and make it your own.
01
Company research
Research workflow
Turn a company or technology question into a brief with source links. Keep the evidence beside the conclusions and export a document you can use.
02
Repository review
Engineering workflow
Inspect a public repository, identify concrete issues and write a review with file references. Follow the commands and their real outputs as the agent works.
03
Data analysis
Operations workflow
Turn a small dataset into a repeatable analysis. Use Python in an isolated environment, validate the calculations and collect the resulting tables.
04
API composition
Developer workflow
Call a capability from your application with an API key. Submit a run, follow its status and retrieve the output through the same interface.
05
Reusable agents
Automation workflow
Save instructions once, test a real run and use the agent again. Every execution has its own input, result, trace and credit record.
The platform
Intelligence
by design.
Four layers, working together: a catalog of capabilities, reusable agent instructions, a sandbox that executes the work, and a record of what happened.
Explore the stack
3 minute sandbox limitTrace every executionYour files. Exportable.
Agent lifecycle
From a question to finished work.
Define the job, connect the capabilities, test one run and reuse what works. A clear path from an idea to an output you can inspect.
Browse models, public data APIs and agent templates. Each capability describes its input, output and run cost before you use it.
Step 01Capability catalogInput schemaVisible run cost
Give your agent a concrete objective, useful context and a deliverable. Save the instructions so the next run starts with the same definition.
Step 02Agent instructionsClear deliverablesWorkspace controls
Run the job in a fresh sandbox. Follow tool calls and command output, then inspect the files and result before relying on them.
Step 03Sandbox executionExecution traceDownloadable files
Run a saved agent from the console or your application. Use scheduled runs on an active plan and keep every result in one activity history.
Step 04API accessSaved agentsRun history
The agent collection
Research, analysis and engineering agents. A useful starting point for the work ahead.
Research agent
Sources, summaries and briefs
Data analyst
Tables, calculations and insights
Code reviewer
Repositories, evidence and fixes
Document builder
Instructions, guides and reports
Test engineer
Checks, test suites and results
API researcher
Public data, sources and context
Pricing
Starter
$19.99
// per monthFrom an idea to your first working project.
- 20 run credits / month
- Models and public data APIs
- Reusable agents & API keys
- Sandbox execution & files
- Daily and weekly schedules
Builder
$49.99
// per monthKeep side projects and experiments moving.
- 60 run credits / month
- Models and public data APIs
- Reusable agents & API keys
- Sandbox execution & files
- Daily and weekly schedules
ProPOPULAR
$99.99
// per monthCapacity for your everyday agent workflows.
- 140 run credits / month
- Models and public data APIs
- Reusable agents & API keys
- Sandbox execution & files
- Daily and weekly schedules
Studio
$149.99
// per monthBuild and maintain more ambitious projects.
- 240 run credits / month
- Models and public data APIs
- Reusable agents & API keys
- Sandbox execution & files
- Daily and weekly schedules
Team
$299.99
// per monthMore capacity across your workflows.
- 600 run credits / month
- Models and public data APIs
- Reusable agents & API keys
- Sandbox execution & files
- Daily and weekly schedules
Scale
$499.99
// per monthFor your busiest agent workloads.
- 1200 run credits / month
- Models and public data APIs
- Reusable agents & API keys
- Sandbox execution & files
- Daily and weekly schedules
Three free runs to start. One run uses one credit; failed and cancelled runs return it. Purchases are not available yet.
Common queries
Everything you need to know about our AI.
Answers on capabilities, execution, credits and what happens when a run does not go as planned.
Your account and run records are stored in our managed database. Agent execution uses a hosted sandbox and connected model providers. Downloaded artifacts remain yours to use. Do not submit secrets or data you are not authorized to process.
Create an account and use your three starter credits. Choose a capability or describe a small task. A sandbox run has up to three minutes to complete; the workspace shows progress and the final result.
Yes. Create a revocable API key and follow the working requests in the documentation. You can submit a capability or agent run, inspect its status and retrieve its output from your application.
You can read and download the files generated by your runs. Review their contents and any dependency licenses before using them. Model and provider services remain subject to their own terms.
Each accepted run reserves one credit. Failed and cancelled runs return that credit once. Three starter credits are included. The six monthly plans list their credit allocations on the pricing page.
Inspect the trace and verify the result before relying on it. Agents can make mistakes. Narrow the task, add missing context and rerun when needed. A completed run is evidence of execution, not a guarantee that every conclusion is correct.
The live catalog identifies the models and APIs currently connected to Allfurdfr. Agent runs use the configured language model with sandbox tools. We do not list unsupported providers as available integrations.
Save your instructions as an agent and run it again with new context. Active subscribers can enable daily or weekly schedules. API access lets your own applications submit work and read its results.
Next step
Bring the work. Build the agent.
Start with three free runs. Connect a capability, try an agent and take home a result you can inspect.
// Three free runs. No credit card required.