Get Benchmark Context
Get industry benchmark context for AI-powered recommendations.
⚠️ IMPORTANT: This tool retrieves READ-ONLY data. Safe to call multiple times.
🎯 What This Tool Does (Performance Agent - Phase 1 Feature 5):
- Generates contextual benchmark data for the user’s business
- Combines business profile with industry benchmarks
- Provides recommended ROAS targets based on vertical
- Returns formatted context for AI prompts
Returns benchmark context:
- Business vertical and size context
- Industry-specific ROAS benchmarks (typical, good, excellent)
- CTR benchmarks by industry
- CPC expectations for the vertical
- Seasonality considerations
- Custom recommendations based on profile
Industry Benchmarks Included:
| Vertical | Typical ROAS | Good ROAS | Excellent ROAS |
|---|---|---|---|
| Retail | 4.0x | 6.0x | 8.0x |
| Services | 3.0x | 5.0x | 7.0x |
| Technology | 3.5x | 5.5x | 8.0x |
| Healthcare | 2.5x | 4.0x | 6.0x |
| Finance | 5.0x | 8.0x | 12.0x |
| Education | 2.0x | 3.5x | 5.0x |
Parameters:
- include_recommendations: Include performance recommendations (default: true)
- customer_id: Optional (uses connected account if omitted)
Use this tool when:
- Before providing performance analysis
- When comparing user’s metrics to industry standards
- User asks “how am I doing compared to others?”
- You need context for optimization recommendations
Integration with Other Tools: Call this BEFORE or AFTER these tools for enhanced recommendations:
analyze_wasted_spend- Contextualize waste against industry normsoptimize_budget_allocation- Use industry-appropriate ROAS targetsget_campaign_performance- Compare metrics to benchmarksexplain_performance_anomaly- Understand if changes are industry-wide
Execution time: 1-2 seconds (profile lookup + benchmark calculation)
Authorizations
API key from https://adspirer.ai/keys. Prefix sk_live_. Treat as a secret — never commit.
Headers
Client-generated UUID to make writes idempotent. Strongly recommended for write tools. A repeat call with the same key returns the cached result instead of re-executing. Example: 550e8400-e29b-41d4-a716-446655440000
Body
All tool arguments are wrapped in an arguments object. The fields accepted inside arguments are listed below — required fields are marked with a red asterisk.
Input schema for getting benchmark context for AI prompts
Response
Tool executed successfully. data.text carries the human-readable result (markdown-friendly). data.quota shows your current usage against the plan limit. data.structured appears when the tool emits machine-parseable structured content. data.content appears for tools that return non-text blocks (images, resources).
Returned on HTTP 200. data.text is the primary human-readable output. data.quota is always present for billable calls. data.structured is set only when the tool emits machine-parseable structured content. data.content is set only when the tool emits non-text content blocks.

