Superagent
Superagent is an AI-based tool designed to perform web research tasks. The core mechanism of the tool involves the deployment of AI agents powered by large lang...
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What is Superagent?
Superagent is a platform providing red team testing and runtime protection for AI agents and applications. It deploys specialized attack agents to probe production systems for vulnerabilities like data leaks, harmful outputs, unauthorized actions, and compliance violations. The tool helps developers identify and fix issues before they impact users, offering proof through shareable Safety Pages for sales and procurement.
Key features include black-box red team testing, runtime defense with purpose-trained models (Guard for threat detection, Verify for factual compliance, Redact for PII removal), an open-source SDK with methods like Guard, Redact, Scan, and Test, and low-latency integration with any LLM provider. It supports file analysis for PDFs and images, repository scanning, and CI/CD pipeline checks.
Superagent is designed for developers and companies building AI agents, especially those selling into enterprises and regulated industries. It enables provable safety for copilots, assistants, and agentic workflows, backed by Y Combinator and open-source contributions for community trust.
Superagent pricing
Pricing model: Freemium
Pay-per-use token pricing with no hidden fees: Guard, Verify, Redact models at $0.9 per million input tokens and $1.9 per million output tokens. Open-source SDK free including Guard model. Volume pricing, refunds, cancellation, and SLAs available via email inquiry.
Superagent pros
- Red team testing uncovers real-world vulnerabilities
- Black-box probing mimics actual user attacks
- Shareable Safety Pages for customer verification
- Free open-source SDK with Guard model
- Low-latency runtime protection under 100ms
- Works with any LLM like OpenAI, Anthropic
- Purpose-trained models for Guard, Verify, Redact
- PII and PHI automatic redaction
- Repository scanning for agent attacks
- Production testing without system changes
- Remediation guidance with evidence
- Open-weight models for self-hosting
- File support for PDFs, images, URLs
- CI/CD integration for risky builds
- Y Combinator backed for reliability
- Unified observability and audits
Superagent cons
- Pay-per-token pricing scales with usage
- No free tier for hosted runtime models
- SDK requires developer integration effort
- Legacy API may confuse new users
- Limited to agent-specific security focus
- Volume pricing needs custom negotiation
- No refunds policy on usage
- Self-hosting demands infrastructure
- Targeted at enterprises, less for solo devs
- No built-in non-AI software testing
Frequently asked questions about Superagent
What is red team testing in Superagent?
Red team testing deploys specialized attack agents against your production AI system in a black-box manner to surface data leaks, harmful outputs, and unwanted actions, providing findings, evidence, and remediation guidance.
How does runtime protection work?
Superagent acts as a secure proxy inspecting prompts, validating tool calls, and blocking threats in real-time using purpose-trained models like SuperagentLM with sub-50ms latency.
What is the Superagent SDK?
An open-source SDK with core methods Guard (blocks injections), Redact (removes PII), Scan (analyzes repos), and Test (runs red team scenarios), embeddable in AI apps for any LLM.
What models does Superagent offer?
Purpose-trained models Guard for threat detection, Verify for factual compliance against enterprise policies, and Redact for automatic removal of sensitive data like PII, PHI, secrets.
Is there a free option?
Yes, the open-source SDK includes a free Guard model with no API keys needed; open-weight models can run on your infrastructure.
What integrations are supported?
Compatible with OpenAI, Anthropic, Google, Bedrock, Groq, Fireworks; integrates at inference providers, agent frameworks, and CI/CD pipelines.
How do Safety Pages help?
Safety Pages share security controls and test results publicly or privately, verifiable by customers for sales, procurement, and security questionnaires.
What is the pricing structure?
Token-based: $0.9/million input, $1.9/million output for Guard, Verify, Redact; contact for volume discounts, SLAs.
Can I self-host models?
Yes, open-weight Guard model runs on your infra with 50-100ms latency, supporting parallel processing for large inputs.
Who is Superagent for?
Developers and companies building AI agents for enterprises and regulated industries needing provable safety against prompt injections, data leaks, and malicious tool calls.