api-integration-helper

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AI-powered API integration toolkit for endpoint mapping, schema validation, authentication management, and rate limiting analysis. Maps endpoints from code, validates JSON schemas, detects auth schemes, and analyzes rate limiting strategies.

XSpoonAi By XSpoonAi schedule Updated 2/9/2026

name: API Integration Helper description: AI-powered API integration toolkit for endpoint mapping, schema validation, authentication management, and rate limiting analysis. Maps endpoints from code, validates JSON schemas, detects auth schemes, and analyzes rate limiting strategies. version: 1.0.0 author: Skill Builder tags:

  • api
  • integration
  • schema-validation
  • authentication
  • rate-limiting
  • openapi

activation_triggers:

  • keyword: "analyze api"
  • keyword: "validate schema"
  • keyword: "rate limit"
  • pattern: "endpoint_mapping|auth_detection|rate_limiting"
  • intent: "integrate_api"

parameters:

  • name: api_input type: string required: true description: "API code, OpenAPI spec, or request headers" example: "@app.get('/users/{id}')"

  • name: analysis_type type: string required: true enum: ["endpoint_mapping", "schema_validation", "auth_detection", "rate_limit_analysis"] description: "Type of API analysis to perform" example: "endpoint_mapping"

  • name: framework type: string required: false enum: ["flask", "fastapi", "django", "express", "openapi"] description: "API framework or specification format" example: "fastapi"

  • name: auth_type type: string required: false enum: ["basic", "bearer", "api_key", "oauth2", "hmac", "jwt"] description: "Authentication scheme to validate" example: "bearer"

scripts:

  • name: endpoint_mapper type: python path: scripts/endpoint_mapper.py description: "Maps and analyzes API endpoints from code or OpenAPI specs" confidence: "94%" params: ["api_input", "framework"]

  • name: schema_validator type: python path: scripts/schema_validator.py description: "Validates JSON schemas and request/response bodies" confidence: "92%" params: ["api_input", "analysis_type"]

  • name: auth_handler type: python path: scripts/auth_handler.py description: "Detects and validates API authentication schemes" confidence: "93%" params: ["auth_type"]

  • name: rate_limiter type: python path: scripts/rate_limiter.py description: "Analyzes rate limiting headers and strategies" confidence: "90%" params: ["analysis_type"]

capabilities:

  • Endpoint mapping from Flask/FastAPI/Django/Express code
  • OpenAPI specification parsing and analysis
  • JSON schema validation and generation
  • Request/response body validation
  • Authentication scheme detection (Basic, Bearer, OAuth2, JWT, HMAC, API Key)
  • Rate limit header detection (X-RateLimit, RateLimit standards)
  • Rate limiting strategy analysis
  • Client code generation (Python, JavaScript, TypeScript)
  • Security risk analysis for authentication
  • API schema comparison and compatibility checking

cache: true composable: true

security_considerations: - Never log authentication credentials - Validate all API inputs before processing - Implement rate limiting on validation endpoints - Use HTTPS for all API communications - Sanitize error messages to avoid information disclosure - Implement proper CORS policies - Validate OpenAPI specs from untrusted sources - Store API keys securely (environment variables only)

Usage Examples

Endpoint Mapping

from scripts.endpoint_mapper import EndpointMapper

mapper = EndpointMapper()
endpoints = mapper.analyze_fastapi_code("""
@app.get('/users/{id}')
@app.post('/users')
""")
print(f"Found {len(endpoints)} endpoints")

Schema Validation

from scripts.schema_validator import SchemaValidator

validator = SchemaValidator()
result = validator.validate_json_schema({
    "type": "object",
    "properties": {"name": {"type": "string"}}
})
print(f"Valid: {result['is_valid']}")

Authentication Detection

from scripts.auth_handler import AuthHandler

auth = AuthHandler()
detected = auth.detect_auth_scheme({
    "Authorization": "Bearer token123",
    "X-API-Key": "key456"
})
print(f"Auth types: {detected['auth_types']}")

Rate Limit Analysis

from scripts.rate_limiter import RateLimiter

limiter = RateLimiter()
analysis = limiter.analyze_rate_limits({
    "X-RateLimit-Limit": "1000",
    "X-RateLimit-Remaining": "999"
})
print(f"Requests remaining: {analysis['remaining']}")

Output Format

All modules return structured JSON:

{
  "analysis_type": "string",
  "endpoints_found": number,
  "authentication_schemes": ["array"],
  "validation_status": "valid|invalid|warning",
  "rate_limit_info": { "limit": number, "remaining": number },
  "security_score": 0-100,
  "recommendations": ["array of actionable items"],
  "client_code_generated": boolean
}

Severity Levels

Level Meaning Impact Action
CRITICAL Security vulnerability in auth/schema High risk Fix immediately
HIGH Missing rate limit handling Moderate risk Implement within sprint
MEDIUM Schema validation issue Low-moderate risk Plan improvement
LOW Minor API consistency issue Low risk Consider for future

Version & Support

  • Version: 1.0.0
  • Released: February 2026
  • Status: Production Ready
  • Confidence: 92%

Future Enhancements (v1.1.0)

  • GraphQL API support
  • gRPC endpoint mapping
  • Webhook validation
  • API versioning detection
  • Mock server generation
  • Integration with API gateway tools
  • Automated SDK generation
  • GraphQL schema analysis
Install via CLI
npx skills add https://github.com/XSpoonAi/spoon-awesome-skill --skill api-integration-helper
Repository Details
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article Path SKILL.md
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