Test Suites and Domains
998 scoring dimensions across 254 tests and 11 domains. 22 pre-built evaluation suites.
22 Ready-to-Run Evaluation Suites
Run curated suites or build fully custom test combinations directly inside MARK-17.
Production
7 suitesAgent Readiness
Validates tool calling, multi-step reasoning, and autonomous decision-making for agentic deployments.
~12 min
Enterprise Safety
Tests prompt injection resistance, PII handling, content policy adherence, and adversarial robustness.
~10 min
API Reliability
Measures structured output compliance, error recovery, and consistent behavior under load.
~6 min
Customer-Facing Chat
Evaluates tone, helpfulness, refusal handling, and conversation quality for user-facing applications.
~15 min
Enterprise Quality Gate
Combined safety, reliability, and capability gate for production deployment sign-off.
~18 min
Context MRCR
Multi-round context retention — tests whether models maintain accuracy across long conversations.
~8 min
Multi-Turn Safety
Adversarial safety testing across multi-turn conversations where context can be manipulated.
~10 min
Role-Specific
4 suitesCoding Assistant
Code generation, debugging, refactoring, and explanation across multiple languages.
~12 min
Content & Writing
Creative writing, summarization, tone adaptation, and editorial quality.
~10 min
Reasoning & Analysis
Logic, math, data interpretation, and multi-step analytical reasoning.
~12 min
Multimodal
Image understanding, chart reading, OCR, and visual reasoning capabilities.
~10 min
Comparison
3 suitesQuick Compare
Fast sweep across all domains — ideal for initial model screening.
~4 min
Regression Check
Detects capability regressions between model versions or configuration changes.
~9 min
Full Benchmark
Complete evaluation across all 11 domains with deployment tiering and forensic analysis.
~60 min
App-Specific
8 suitesOpenClaw Readiness
Evaluates tool calling, agentic behavior, safety, and context retention for OpenClaw integration.
~15 min
n8n Workflow Ready
Tests tool calling accuracy, sequential execution, error recovery, and structured output for n8n automation.
~10 min
RAG Pipeline
Retrieval-augmented generation accuracy, citation fidelity, and context grounding.
~12 min
Local Copilot Ready
Benchmarks local models for code completion, inline suggestions, and IDE copilot use cases.
~15 min
Creative & Content Studio
Long-form generation, style consistency, and creative task performance.
~8 min
Document Analyst
Document comprehension, extraction accuracy, and structured summarization.
~10 min
Roleplay & Character
Character consistency, persona adherence, and conversational immersion.
~8 min
MCP Tool Use Ready
Model Context Protocol tool calling compliance, schema adherence, and multi-tool orchestration.
~12 min
Every dimension of model capability.
Each domain tests a different aspect of model performance. Together, they paint the complete picture.
Reasoning
30Logic, math, probability, constraint satisfaction, meta-reasoning
Coding
35Algorithms, data structures, concurrency, systems programming, edge cases
Chat
25Conversation quality, format compliance, creativity, empathy, bias detection
Multimodal
30Image understanding, OCR, charts, diagrams, medical imagery, satellite
Deployment Risk
28Safety refusals, prompt injection defense, PII handling, jailbreak resistance
Adversarial Safety
30Role-play bypass, authority injection, sycophancy, obfuscated attacks, instruction conflicts
Tool Calling
33Function calling accuracy, parallel/sequential, error recovery, fault tolerance
Agentic
27Goal decomposition, multi-agent coordination, state management, autonomous troubleshooting
Multi-Turn Adversarial
8Gradual escalation, persona persistence, language switching across turns
Agentic Email
1Real-world email inbox management task
Context Retention
7Needle-in-haystack from 8K to 1M tokens
Domain breakdown.
| Domain | Tests | Difficulty Range | What It Measures |
|---|---|---|---|
| Reasoning | 30 | Easy → Edge Case | Logic, math, probability, constraint satisfaction, meta-reasoning |
| Coding | 35 | Easy → Edge Case | Algorithms, data structures, concurrency, systems programming, edge cases |
| Chat | 25 | Easy → Edge Case | Conversation quality, format compliance, creativity, empathy, bias detection |
| Multimodal | 30 | Easy → Edge Case | Image understanding, OCR, charts, diagrams, medical imagery, satellite |
| Deployment Risk | 28 | Easy → Edge Case | Safety refusals, prompt injection defense, PII handling, jailbreak resistance |
| Adversarial Safety | 30 | Easy → Edge Case | Role-play bypass, authority injection, sycophancy, obfuscated attacks, instruction conflicts |
| Tool Calling | 33 | Easy → Edge Case | Function calling accuracy, parallel/sequential, error recovery, fault tolerance |
| Agentic | 27 | Easy → Edge Case | Goal decomposition, multi-agent coordination, state management, autonomous troubleshooting |
| Multi-Turn Adversarial | 8 | Medium → Hard | Gradual escalation, persona persistence, language switching across turns |
| Agentic Email | 1 | Specialized | Real-world email inbox management task |
| Context Retention | 7 | Medium → Hard | Needle-in-haystack from 8K to 1M tokens |
| Total | 254 | 254 tests across 11 domains | |
Tests range from Easy to Edge Case difficulty, designed to expose hidden model weaknesses across every domain.
Forensic-grade AI evaluation.
Hard-Fail Rules
Critical tests that must pass. One failure flags the entire suite — regardless of overall score.
Deterministic Evaluator
Same input, same score, every time. No variance, no randomness in evaluation.
Requirement Proof Logging
Every pass/fail decision is logged with the evidence that produced it. Full traceability.
Confidence Scoring
Run count validation ensures your results are statistically significant, not a fluke.
Deployment Tiering
Automatically classify models into deployment tiers based on safety, reliability, and capability.
Custom Tests & Suites
Build custom evaluations by mixing tests across domains and save them as reusable suites.
Custom Test Builder
Create new evaluations on the fly, combine tests across domains, and save them as reusable test suites.
Evaluate AI models against the work that matters to you.
All 254 tests across 11 domains, run on models you choose — local, cloud, or both.