Back to evaluations
Public evaluation

Benchmark-aligned evaluation

Agent Task Completion

Evaluation type
benchmark aligned
Challenge
The 1st AI sales agent democratizing biz-data
Difficulty
Intermediate
Rigor
Production-grade with specific benchmark targets
Open linked challenge

Evaluation overview

How the linked challenge is judged: tasks, benchmarks, and criteria count.

Tasks
0
Benchmarks
7
Criteria
3

Evaluation method

Approach

Official AI benchmark-aligned evaluation

Criteria

What gets scored.

Criterion 1

Agent Task Completion

Autonomous agent performance in real-world scenarios

Metrics
  • End-to-End Task Success: Complete task automation rate
  • Tool Use Efficiency: Optimal tool selection and usage
  • Error Recovery: Autonomous error detection and correction
  • Multi-Step Planning: Complex task decomposition accuracy
  • Human Interaction Quality: Clarity in human-agent communication
Benchmarks
  • WebArena
  • AgentBench
  • ToolBench
Target

Task Success > 80%, Tool Efficiency > 85%

Evaluation type

quantitative

Criterion 2

Sales Intelligence and Automation

Sales-specific AI performance metrics aligned with business outcomes

Metrics
  • Lead Qualification Accuracy: Precision in identifying qualified leads
  • Conversation Intelligence: Quality of sales dialogue generation
  • Objection Handling: Effectiveness in addressing customer concerns
  • Personalization Score: Relevance of customized outreach
  • Revenue Impact: Measurable effect on sales metrics
Benchmarks
  • Industry KPIs
  • Human Baseline Comparison
Target

Lead Qualification > 85%, Revenue Impact +20%

Evaluation type

quantitative + qualitative

Criterion 3

Robustness and Reliability

System stability, consistency, and adversarial resistance

Metrics
  • Output Consistency: Variance across similar inputs
  • Adversarial Robustness: Resistance to malicious inputs
  • Performance Stability: Consistency across time and load
  • Failure Graceful Degradation: Behavior under stress
  • Safety Compliance: Adherence to safety guidelines
Benchmarks
  • RobustBench
  • SafetyBench
Target

Consistency > 95%, Adversarial Success < 5%

Evaluation type

quantitative