Comprehensive AI Agent Testing

Everything you need to ensure your AI agents are reliable, secure, and high-performing before deployment.

4 Testing Categories
25+ Test Types
3 Integration Methods

Behavioral & Performance Testing

Comprehensive evaluation of your agent's task completion, response quality, and performance metrics.

Task Completion Analysis


Measure success rates across various use cases and scenarios with detailed completion tracking.

  • Success rate measurement
  • Failure pattern analysis
  • Test category coverage
  • Completion time tracking

How It Works

Our system runs your agent through predefined task scenarios and measures completion rates, quality of outcomes, and time to completion. We identify patterns in failures and provide actionable insights for improvement.

# One question from a suite file
- id: billing-refund-window
  question: "I bought this 40 days ago. Can I still get a refund?"
  reason: "Checks the agent states the real policy window instead of guessing."
  severity: high
  expected_behavior: "Gives the published refund window and does not invent an exception."
  must_not_leak:
    - "INTERNAL-POLICY-DRAFT"

Response Quality Assessment

AI-powered grading on two dimensions: whether the response did the job it was there to do, and how well it was communicated.

  • Purpose alignment scoring
  • Communication quality scoring
  • Second-pass grade audit
  • Tone consistency check

How the score is built

Every response is graded on two dimensions: did it do the job it was there to do, and was it communicated well. The first carries 90 percent of the score and the second carries 10, on every run, so two runs of the same suite mean the same thing.

Purpose alignment
90%
Response quality
10%

Consistency Validation


Repeated and reworded questions within a run, to surface contradictory answers.

  • Repetition probes
  • Semantic-equivalence probes
  • Contradiction detection

Reliability Testing

We ask the same question repeatedly, and in reworded forms, inside a single run. Then we grade the answers for contradictions.

Response Time Measurement

Every probe records how long your agent took to answer.

  • Per-probe response time
  • Average response time across a run

Response Timing

Each probe records the target's response time, and the run reports the average across every probe that answered.

Conversation Memory Testing

Checks that your agent holds context and stays consistent across a multi-probe session.

  • Context retention testing
  • Session continuity verification
  • Memory consistency check

Conversational AI Testing

Test how well your agent keeps context and stays coherent as a session goes on.

Security & Safety Testing

Comprehensive security validation including prompt injection resistance and data leakage detection.

Prompt Injection Resistance

Systematic testing against malicious input attempts and instruction override tactics.

  • Direct injection testing
  • Indirect injection via content
  • Jailbreak and role-override attempts
  • Guard-bypass phrasing

Advanced Injection Testing

We test a comprehensive range of prompt injection techniques to ensure your agent cannot be manipulated to behave outside its intended parameters.

Direct Override Blocked
Indirect Injection Blocked
Guard-Bypass Phrasing Blocked

Jailbreak Resistance Testing

Evaluation of agent responses to manipulation tactics and escape attempts.

  • Role-play manipulation
  • Developer mode and DAN prompts
  • Authority assumption
  • Hypothetical scenarios

Jailbreak Testing

Test resistance to various jailbreaking techniques that attempt to make your agent ignore safety guidelines.

Data Leakage Detection

Verification that agents don't expose sensitive information or training data.

  • Cross-session data bleed
  • Personal information leaks
  • System prompt disclosure
  • Internal data revelation

Privacy Protection

Ensure your agent doesn't accidentally reveal sensitive information, training data, or internal system details.

Access Control Validation

Role-based permission and boundary testing for secure interactions.

  • Permission boundary testing
  • Role escalation attempts
  • Unauthorized access detection
  • Capability overreach checks

Security Boundaries

Test that your agent respects user permissions and cannot be tricked into providing unauthorized access.

Encoding & Obfuscation Bypass

Attacks that hide the payload so a keyword filter never sees it, in the encodings and languages attackers actually use.

  • Base64 and character-split payloads
  • Phonetic and Pig Latin obfuscation
  • Delimiter and tag-break attacks
  • Non-English attack phrasing

How It Works

A filter that blocks "ignore your instructions" often misses the same instruction in Base64, in German, or split across letters. We send it every way we know.

Reliability & Robustness Testing

Edge case handling, error recovery testing, and hallucination detection for consistent reliability.

Edge Case Handling

Response quality evaluation under unusual or unexpected input scenarios.

  • Unusual input testing
  • Boundary condition analysis
  • Unexpected scenario handling
  • Graceful degradation testing

Stress Testing

Test how your agent handles unusual inputs, edge cases, and unexpected scenarios to ensure robust performance.

Error Recovery Testing

System behavior evaluation during failures and recovery scenarios.

  • Failure simulation
  • Recovery mechanism testing
  • Error message quality
  • Ambiguous and contradictory inputs

Fault Tolerance

Test how well your agent recovers from errors and maintains service quality during challenging conditions.

Grading Integrity Checks

runQC checks its own grades before you see them, so a finding you act on is one it can back up.

  • Deterministic leak and refusal checks
  • Fact-scoped transcript cross-check
  • Second-model grade audit
  • Session continuity gate before grading

How It Works

If your endpoint turns out to be stateless, we suppress the memory grades rather than report findings we can't stand behind. Grades that look off get re-checked by a second model.

Context Preservation

Memory and conversation state management validation across interactions.

  • Memory consistency testing
  • Delayed recall across filler turns
  • State persistence validation
  • Information retention analysis

Memory Testing

Ensure your agent properly maintains context and remembers important information throughout conversations.

Hallucination Detection

Accuracy verification and fact-checking against known sources and ground truth.

  • Fact verification
  • Source attribution checking
  • Consistency validation
  • Confidence scoring

Truth Verification

Detect when your agent generates false or misleading information and measure factual accuracy.

Custom Domain Testing

Testing shaped by your agent's own domain, your own prompt libraries, and pass criteria you write.

Logic Validation

Custom business rule and workflow verification for domain-specific requirements.

  • Business rule compliance
  • Workflow validation
  • Out-of-scope refusal checks
  • Process adherence checking

Business Logic Testing

Ensure your agent follows your specific business rules and processes correctly.

Prompt Pool Testing

Batch testing with customer-specific input sets and scenario libraries.

  • Custom prompt libraries
  • Batch test execution
  • Scenario-based testing
  • Domain-specific inputs

Custom Test Sets

Create and run tests using your own prompt libraries and domain-specific scenarios.

Domain Expertise Assessment

Tests built around your agent's actual domain, escalating in difficulty as it keeps up.

  • Domain-aware probe design
  • Technical accuracy validation
  • Progressive difficulty tiers
  • Expert-level reasoning

How It Works

We read your agent's domain from discovery or from context you supply, then work up from basic questions to edge cases and nuance within it.

Compliance Checking

Adherence to the business policies and boundaries you define, checked against pass criteria you write.

  • Pass criteria you author
  • Policy adherence testing
  • Guideline validation
  • Your policy docs as grading context

How It Works

Upload your policy docs and we fold them into the grading context, then check each response against the pass criteria you wrote.

A/B Testing Support

Comparative analysis between agent versions and configuration variants.

  • Version comparison
  • Performance delta analysis
  • Quality score trend across runs
  • Improvement measurement

Version Comparison

Compare two runs of the same suite to see which questions improved, which regressed, and by how much.

Flexible Integration Options

Connect your AI agents however works best for your architecture

Agent API
runQC

API Integration

Direct integration with your agent's REST API endpoints for seamless testing.

  • REST API testing
  • Multiple authentication methods
  • Real-time response analysis
  • Custom headers and parameters
Available on all plans
Web Interface
runQC

Web Interface Testing (Coming Soon)

AI-powered navigation and testing through your web interface.


  • UI interaction automation
  • Screenshot analysis
  • User journey simulation
  • Visual regression testing
Coming Soon
Private Network
VPN
runQC

Enterprise VPN (Coming Soon)

Secure testing of agents within private networks and on-premises systems.


  • Private network access
  • On-premises support
  • Enhanced security protocols
  • Audit trail and compliance
Coming Soon

Comprehensive Reporting & Analytics

Detailed insights and actionable recommendations for your AI agents

Agent Test Report

March 15, 2024
94 Overall Score
Security
98%
Performance
92%
Reliability
89%

Key Recommendations

  • Improve error handling for edge cases
  • Optimize response time for complex queries
  • Enhance context retention in long conversations

Executive Summaries

High-level performance overview for business stakeholders with key metrics and insights.

Technical Deep Dives

Detailed analysis for development teams with specific improvement recommendations.

Trend Analysis

Performance changes over multiple test runs with historical comparisons.

Issue Prioritization

Findings ranked critical, high, medium, and low, with suggested next steps, so you know what to read first.

Improvement Recommendations

Concrete steps to enhance agent performance with code and prompt suggestions.

Cost & Token Breakdown

Per-agent LLM spend and token counts for every run, so you can see exactly what a test cost you.

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