JSON Validator — Syntax Check & Schema Validation
APIFreeJSON validation API for AI agents. Validate JSON syntax, check against JSON Schema, and get formatted output. Returns validity status, parse errors with line numbers, structure stats (depth, key count, size). Tools: data_validate_json. Use this for API response validation, config file checking, or
Capabilities5 decomposed
json syntax validation
Medium confidenceThis capability checks the syntax of JSON input by parsing it and identifying any structural errors. It utilizes a robust parsing algorithm that provides detailed error messages, including line numbers and specific issues, allowing developers to quickly locate and fix problems. The implementation is designed to be lightweight and efficient, ensuring rapid validation without the need for extensive resources.
Utilizes a custom parser that provides detailed error reporting, including line numbers and specific error types, which is more informative than standard JSON validators.
More informative error reporting than typical JSON validators, which often only indicate that the JSON is invalid without specifics.
json schema validation
Medium confidenceThis capability validates JSON data against a provided JSON Schema, ensuring that the data structure adheres to specified rules and constraints. It employs a schema validation engine that checks for type correctness, required fields, and additional constraints defined in the schema, returning detailed feedback on validation failures.
Incorporates a comprehensive schema validation engine that provides detailed feedback on compliance with JSON Schema, which is often lacking in simpler validators.
Offers more detailed compliance feedback compared to basic JSON Schema validators that only indicate pass/fail.
formatted output generation
Medium confidenceThis capability generates a formatted output of the validation results, including validity status, error messages, and structural statistics such as depth and key count. The output is structured for easy consumption by other systems or for logging purposes, ensuring that developers can quickly understand the validation results and take necessary actions.
Generates a comprehensive and machine-readable report that includes both validation results and structural statistics, which enhances usability for automated systems.
More detailed and structured output compared to simpler validators that only return pass/fail statuses.
error detail extraction
Medium confidenceThis capability extracts and formats detailed error messages from the validation process, providing insights into specific issues found in the JSON input. It includes line numbers and descriptions of the errors, making it easier for developers to debug and fix their JSON data. The extraction process is designed to be efficient, ensuring minimal overhead during validation.
Provides a detailed error extraction mechanism that formats messages with line numbers and specific error types, which is often more user-friendly than standard error outputs.
Delivers more actionable error messages compared to basic validators that provide generic error notifications.
structure statistics generation
Medium confidenceThis capability analyzes the JSON structure and generates statistics such as depth, key count, and overall size. It uses a recursive analysis approach to traverse the JSON tree and gather metrics, which can be useful for understanding the complexity and size of the JSON data. This feature is particularly beneficial for optimizing data handling in applications.
Utilizes a recursive traversal method to gather detailed statistics about the JSON structure, providing insights that are often overlooked by simpler validators.
Offers more comprehensive structural metrics compared to basic validators that do not provide any statistics.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓developers needing quick feedback on JSON syntax errors
- ✓developers implementing APIs that require strict data formats
- ✓developers needing clear and structured validation reports
- ✓developers looking for quick fixes to JSON errors
- ✓developers needing insights into JSON complexity for optimization
Known Limitations
- ⚠Does not support JSON5 or other JSON-like formats; only standard JSON is validated
- ⚠Does not support complex schema features like conditional subschemas; limited to basic validation
- ⚠Output format is fixed and may not be customizable; limited to JSON structure
- ⚠Error messages are only as detailed as the parser allows; complex errors may still be vague
- ⚠Statistics are limited to basic metrics; no advanced analysis like performance impact
Requirements
Input / Output
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Repository Details
About
JSON validation API for AI agents. Validate JSON syntax, check against JSON Schema, and get formatted output. Returns validity status, parse errors with line numbers, structure stats (depth, key count, size). Tools: data_validate_json. Use this for API response validation, config file checking, or data pipeline quality gates. Returns machine-readable error details for automated fixing. Returns: {valid, errors[], formatted, stats}. No API key required — x402 micropayment $0.001/call on Base L2.
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