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on 08-26-2025 11:06 AM
In ServiceNow development, building performant and maintainable APIs is critical for scalability, security, and integration. This article shares best practices for designing Scripted REST APIs and highlights when to leverage native Table APIs for optimal results.
✅ Prefer Native Table API Over Scripted REST
Whenever possible, use the Table API, which is available out-of-the-box and offers:
- Built-in security and performance optimizations
- Support for dot-walking, filtering, sorting, and pagination
- Reduced complexity and maintenance overhead
🛠️ Scripted REST API Optimization Tips
If you must use Scripted REST APIs, consider the following improvements:
1. Query Efficiency
- Avoid
CONTAINSIn large tables, it triggers full table scans.- Prefer
STARTSWITH,=, orINfor indexed queries.
- Prefer
- Index fields used in queries to improve lookup speed.
2. GlideRecord Usage
- Use
getValue()instead ofgetDisplayValue()unless a readable value is required. - Avoid
getElement()in loops—it’s heavier and impacts performance. - Restrict the result size with
gr.setLimit().
3. Parameter Validation
- Use
gs.nil()to validate parameters robustly (handles null, undefined, empty). - Validate input before using it in
addQuery()to prevent injection risks.
4. Pagination
- Implement
offsetandlimitparameters in API URLs. - Avoid returning large datasets without pagination.
5. GlideAggregate for Metrics
- Use
GlideAggregatefor counts and sums instead of GlideRecord loops.
🔐 Security and Maintainability
- Enable “Requires Authentication” on all endpoints.
- Configure ACLs to restrict access.
🧩 Versioning and Endpoint Hygiene
- Always use versioned endpoints (e.g.,
/v1/,/v2/) for backward compatibility.
🧪 Final Thoughts
Building APIs in ServiceNow is not just about exposing data—it’s about doing so securely, efficiently, and sustainably. By following these practices, developers can ensure their APIs are robust, scalable, and easy to maintain.
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Great summary — these are exactly the fundamentals that keep ServiceNow APIs performant and maintainable over time.
One thing I often see in practice is that teams do many of these things at build time, but don’t always re-check them as APIs evolve, get reused, or integrated in new ways. Performance and security issues tend to creep in gradually.
That’s why I’ve found lightweight, read-only API testing helpful as a complement — not to replace best practices, but to periodically validate things like query patterns, auth settings, pagination, and overall exposure from the outside. It closes the loop between how an API was designed and how it actually behaves in production.

