League-Sportsbook Matchmaking Platform

League-Sportsbook Matchmaking Platform

The League-Sportsbook Matchmaking Platform serves as an intelligent "dating service" between sports leagues and betting platforms, facilitating compliant, mutually beneficial partnerships. By combining self-service onboarding, AI-powered compatibility matching, real-time compliance monitoring, and tiered service levels, the system empowers league owners to achieve sportsbook integration while enabling sportsbooks to discover and connect with leagues meeting their specific technical and business requirements.

This platform extends the existing AltSportsLeagues.ai infrastructure, leveraging the schema-driven data layer, Google Cloud deployment, N8N webhook processing, and NextJS frontend architecture to provide a seamless, scalable matchmaking experience.

Executive Summary

The matchmaking platform addresses the core challenge of connecting sports leagues with sportsbooks in a compliant, efficient manner. Traditionally, this process involves manual outreach, inconsistent requirements, and lengthy compliance validation. The platform automates and streamlines this workflow, achieving >70% faster onboarding and >85% compliance accuracy.

Key Features:

  • Self-Service Onboarding: League owners register, select sport domains, and configure preferences independently
  • Intelligent Matching: AI-driven compatibility scoring across technical, business, and compliance dimensions
  • Real-Time Compliance: Continuous monitoring of API and data quality against sportsbook requirements
  • Tiered Services: Scalable pricing from starter (3 sportsbooks) to enterprise (unlimited)
  • League NotebookLLM: AI-powered guidance for compliance remediation and league management
  • Bidirectional Integration: Seamless sync with existing CRM, database, and webhook infrastructure

Architecture

High-Level Architecture

Schema-Driven Data Architecture

Building on the existing data_layer/output_styles/schemas/generated/adapters system:

New Domain Schemas (v1)

  1. Matchmaking Schemas

    • matchmaking_profile_schema.json - League and sportsbook profiles
    • compatibility_matrix_schema.json - Matching criteria and scores
    • partnership_request_schema.json - Connection requests and responses
  2. Compliance Schemas

    • compliance_requirements_schema.json - Sportsbook-specific requirements
    • compliance_status_schema.json - Real-time compliance tracking
    • remediation_steps_schema.json - Step-by-step guidance
  3. Service Level Schemas

    • service_tier_schema.json - Pricing and feature tiers
    • subscription_schema.json - User subscriptions and billing

Detailed Requirements

REQ-LSM-001: User Registration and Sport Domain Selection

User Story: As a league owner, I want to register and select my sport domain and target sportsbooks, so that I can begin the matchmaking process with relevant betting platforms.

Acceptance Criteria

  1. WHEN a new user registers, THE Self_Service_Portal SHALL present role selection options (owner, trader, admin)
  2. WHERE the user selects "owner", THE Self_Service_Portal SHALL display sport domain categories (combat, racing, action sports, competitive turn-taking sports, team player actions)
  3. WHEN a user selects a sport domain, THE Self_Service_Portal SHALL show subcategories (e.g., boxing, UFC for combat)
  4. THE Self_Service_Portal SHALL display available sportsbooks with priority ranking capability
  5. THE Self_Service_Portal SHALL allow users to select multiple sportsbooks in numbered priority order

Implementation Example (Frontend - NextJS)

// pages/register-league.tsx
import { useState } from 'react';
import { useForm } from 'react-hook-form';
import { zodResolver } from '@hookform/resolvers/zod';
import { z } from 'zod';
import { SportDomainSchema } from 'data_layer/schemas/generated/adapters/typescript/v1/sport_domain_schema';
import { UserRegistrationSchema } from 'data_layer/schemas/generated/adapters/typescript/v1/user_registration_schema';
 
const RegistrationSchema = UserRegistrationSchema.extend({
  sportDomain: SportDomainSchema,
  targetSportsbooks: z.array(z.object({
    id: z.string(),
    priority: z.number().min(1)
  })).min(1)
});
 
type RegistrationForm = z.infer<typeof RegistrationSchema>;
 
export default function LeagueRegistration() {
  const [role, setRole] = useState<'owner' | 'trader' | 'admin'>();
  const [sportDomain, setSportDomain] = useState<string>();
  const [selectedSportsbooks, setSelectedSportsbooks] = useState<{id: string, priority: number}[]>([]);
  
  const { register, handleSubmit, formState: { errors } } = useForm<RegistrationForm>({
    resolver: zodResolver(RegistrationSchema)
  });
 
  const onSubmit = async (data: RegistrationForm) => {
    // Submit to backend
    const response = await fetch('/api/league/register', {
      method: 'POST',
      body: JSON.stringify(data)
    });
    
    if (response.ok) {
      router.push('/dashboard');
    }
  };
 
  if (!role) {
    return (
      <div className="space-y-4">
        <h2>Select Your Role</h2>
        <button onClick={() => setRole('owner')} className="btn-primary">League Owner</button>
        <button onClick={() => setRole('trader')} className="btn-secondary">Trader</button>
        <button onClick={() => setRole('admin')} className="btn-secondary">Admin</button>
      </div>
    );
  }
 
  if (role === 'owner' && !sportDomain) {
    return (
      <div className="space-y-4">
        <h2>Select Sport Domain</h2>
        <div className="grid grid-cols-2 gap-4">
          <button onClick={() => setSportDomain('combat')} className="card">Combat Sports</button>
          <button onClick={() => setSportDomain('racing')} className="card">Racing</button>
          <button onClick={() => setSportDomain('action_sports')} className="card">Action Sports</button>
          <button onClick={() => setSportDomain('team_player_actions')} className="card">Team Player Actions</button>
          <button onClick={() => setSportDomain('competitive_turn_taking')} className="card">Competitive Turn-Taking</button>
        </div>
      </div>
    );
  }
 
  // Sport domain selection and sportsbook priority
  return (
    <form onSubmit={handleSubmit(onSubmit)}>
      <input {...register('email')} placeholder="Email" />
      <input {...register('leagueName')} placeholder="League Name" />
      <select {...register('sportDomain')} value={sportDomain}>
        <option value="combat">Combat Sports</option>
        {/* ... other options */}
      </select>
      
      <div>
        <h3>Select Target Sportsbooks (Priority Order)</h3>
        <DragDropList
          items={availableSportsbooks}
          onReorder={setSelectedSportsbooks}
        />
      </div>
      
      <button type="submit">Complete Registration</button>
    </form>
  );
}

REQ-LSM-002: League NotebookLLM Section

User Story: As a league owner, I want access to a League NotebookLLM section, so that I can create leagues, manage resources, and track compliance status independently.

Acceptance Criteria

  1. THE Self_Service_Portal SHALL provide a League_NotebookLLM sidebar section for league owners
  2. WHEN accessing League_NotebookLLM, THE Self_Service_Portal SHALL allow creation of new leagues
  3. THE League_NotebookLLM SHALL enable adding data extraction resources and API testing capabilities
  4. THE League_NotebookLLM SHALL display real-time compliance status for each sportsbook requirement
  5. WHERE compliance gaps exist, THE League_NotebookLLM SHALL provide clear step-by-step remediation guidance

Implementation Example (Backend - Python/FastAPI)

# services/league_notebook_service.py
from fastapi import APIRouter, Depends
from pydantic import BaseModel
from typing import List, Optional
 
from data_layer.schemas.generated.adapters.python.v1.league_schema import LeagueSchema
from data_layer.schemas.generated.adapters.python.v1.compliance_status_schema import ComplianceStatusSchema
 
router = APIRouter(prefix="/api/league-notebook", tags=["League Notebook"])
 
class CreateLeagueRequest(BaseModel):
    name: str
    sport_domain: str
    primary_contact: str
    website: Optional[str] = None
    api_endpoints: List[str] = []
 
@router.post("/leagues", response_model=LeagueSchema)
async def create_league(request: CreateLeagueRequest, user=Depends(get_current_user)):
    """Create a new league in the notebook"""
    
    # Validate sport domain
    sport_domain = await validate_sport_domain(request.sport_domain)
    
    # Create league record
    league = await league_repository.create({
        "owner_id": user.id,
        "name": request.name,
        "sport_domain": sport_domain,
        "primary_contact": request.primary_contact,
        "website": request.website,
        "api_endpoints": request.api_endpoints,
        "compliance_status": "incomplete",
        "created_at": datetime.utcnow()
    })
    
    # Initialize compliance tracking
    await compliance_service.initialize_tracking(league.id)
    
    return league
 
@router.get("/compliance/{league_id}", response_model=ComplianceStatusSchema)
async def get_compliance_status(league_id: str, user=Depends(get_current_user)):
    """Get real-time compliance status for league"""
    
    # Verify ownership
    league = await league_repository.get(league_id)
    if league.owner_id != user.id:
        raise HTTPException(403, "Not authorized")
    
    # Get compliance status from all sportsbooks
    compliance_data = await compliance_service.get_status(league_id)
    
    # Generate remediation steps
    remediation_steps = await ai_service.generate_remediation_steps(
        league_id, 
        compliance_data.incomplete_requirements
    )
    
    return ComplianceStatusSchema(
        league_id=league_id,
        overall_score=compliance_data.overall_score,
        complete_requirements=compliance_data.complete_requirements,
        incomplete_requirements=compliance_data.incomplete_requirements,
        remediation_steps=remediation_steps
    )
 
@router.post("/api-test/{league_id}")
async def test_api_endpoint(
    league_id: str, 
    endpoint: str, 
    test_data: dict,
    user=Depends(get_current_user)
):
    """Test API endpoint compliance"""
    
    # Verify ownership
    league = await league_repository.get(league_id)
    if league.owner_id != user.id:
        raise HTTPException(403, "Not authorized")
    
    try:
        # Call external API
        response = await httpx.AsyncClient().post(endpoint, json=test_data)
        
        # Validate response
        validation_result = await compliance_service.validate_api_response(
            league_id, 
            endpoint, 
            response
        )
        
        return {
            "endpoint": endpoint,
            "status_code": response.status_code,
            "response_time": response.elapsed.total_seconds(),
            "validation": validation_result,
            "passed": validation_result.passed
        }
        
    except Exception as e:
        return {
            "endpoint": endpoint,
            "error": str(e),
            "passed": False
        }

REQ-LSM-003: Real-Time Compliance Status

User Story: As a league owner, I want to see real-time compliance status across all my target sportsbooks, so that I can understand what requirements I need to meet for each partnership.

Acceptance Criteria

  1. THE Compliance_Status SHALL display real-time synchronization status with each selected sportsbook
  2. WHEN viewing compliance, THE Self_Service_Portal SHALL show specific requirements for each sportsbook (e.g., DraftKings combat requirements, Underdog racing requirements)
  3. THE Compliance_Status SHALL indicate completion percentage for each sportsbook's requirements
  4. WHERE requirements are incomplete, THE Self_Service_Portal SHALL provide actionable next steps
  5. THE Compliance_Status SHALL update automatically when league data or APIs change

Implementation Example (Frontend - React Component)

// components/ComplianceDashboard.tsx
import { useQuery } from '@tanstack/react-query';
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
import { Progress } from '@/components/ui/progress';
import { Alert, AlertDescription } from '@/components/ui/alert';
import { ComplianceStatusSchema } from 'data_layer/schemas/generated/adapters/typescript/v1/compliance_status_schema';
import { useLeagueContext } from '@/contexts/LeagueContext';
 
export function ComplianceDashboard() {
  const { leagueId } = useLeagueContext();
  
  const { data: complianceStatus, isLoading } = useQuery<ComplianceStatusSchema>({
    queryKey: ['compliance', leagueId],
    queryFn: () => fetch(`/api/compliance/status/${leagueId}`).then(res => res.json()),
    refetchInterval: 30000, // 30 seconds real-time updates
  });
 
  if (isLoading) return <div>Loading compliance status...</div>;
 
  return (
    <div className="space-y-6">
      <Card>
        <CardHeader>
          <CardTitle>Overall Compliance Status</CardTitle>
        </CardHeader>
        <CardContent>
          <div className="space-y-4">
            <div className="flex items-center justify-between">
              <span>Compliance Score</span>
              <span className="text-2xl font-bold">{complianceStatus?.overall_score ?? 0}%</span>
            </div>
            <Progress value={complianceStatus?.overall_score ?? 0} className="w-full" />
          </div>
        </CardContent>
      </Card>
 
      <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-6">
        {complianceStatus?.sportsbook_compliance?.map((sportsbook) => (
          <Card key={sportsbook.id}>
            <CardHeader>
              <CardTitle className="text-lg">{sportsbook.name}</CardTitle>
            </CardHeader>
            <CardContent className="space-y-4">
              <div className="flex items-center justify-between">
                <span>Completion</span>
                <span>{sportsbook.completion_percentage}%</span>
              </div>
              <Progress value={sportsbook.completion_percentage} />
              
              {sportsbook.incomplete_requirements.length > 0 && (
                <Alert variant="destructive">
                  <AlertDescription>
                    <h4 className="font-medium">Incomplete Requirements ({sportsbook.incomplete_requirements.length})</h4>
                    <ul className="mt-2 space-y-1 list-disc list-inside">
                      {sportsbook.incomplete_requirements.slice(0, 3).map((req) => (
                        <li key={req.id} className="text-sm">
                          {req.name} - <span className="text-destructive">{req.status}</span>
                        </li>
                      ))}
                      {sportsbook.incomplete_requirements.length > 3 && (
                        <li className="text-sm">... and {sportsbook.incomplete_requirements.length - 3} more</li>
                      )}
                    </ul>
                  </AlertDescription>
                </Alert>
              )}
            </CardContent>
          </Card>
        ))}
      </div>
    </div>
  );
}

REQ-LSM-004: Sportsbook Requirements Definition

User Story: As a sportsbook, I want to specify my league requirements and preferences, so that the system can match me with compatible leagues.

Acceptance Criteria

  1. THE Matchmaking_Engine SHALL allow sportsbooks to define their league requirements by sport domain
  2. THE Matchmaking_Engine SHALL enable sportsbooks to specify technical API requirements
  3. THE Matchmaking_Engine SHALL allow sportsbooks to set data quality and compliance standards
  4. WHEN requirements are updated, THE Matchmaking_Engine SHALL automatically re-evaluate existing league matches
  5. THE Matchmaking_Engine SHALL notify sportsbooks of new leagues meeting their criteria

Implementation Example (Backend - API Endpoints)

# api/sportsbook_requirements.py
from fastapi import APIRouter, Depends, HTTPException
from pydantic import BaseModel
from typing import List, Dict
 
from data_layer.schemas.generated.adapters.python.v1.sportsbook_requirements_schema import SportsbookRequirementsSchema
 
router = APIRouter(prefix="/api/sportsbook", tags=["Sportsbook"])
 
class UpdateRequirementsRequest(BaseModel):
    sport_domains: List[str]
    technical_requirements: Dict[str, Any]
    business_requirements: Dict[str, Any]
    compliance_standards: List[str]
 
@router.post("/requirements/{sportsbook_id}")
async def update_requirements(
    sportsbook_id: str,
    request: UpdateRequirementsRequest,
    user=Depends(get_current_sportsbook_user)
):
    """Update sportsbook league requirements"""
    
    if user.sportsbook_id != sportsbook_id:
        raise HTTPException(403, "Not authorized")
    
    # Validate requirements
    requirements = SportsbookRequirementsSchema(
        sportsbook_id=sportsbook_id,
        sport_domains=request.sport_domains,
        technical_requirements=request.technical_requirements,
        business_requirements=request.business_requirements,
        compliance_standards=request.compliance_standards,
        updated_at=datetime.utcnow()
    )
    
    # Store in database
    await requirements_repository.update(sportsbook_id, requirements)
    
    # Trigger re-evaluation of existing matches
    await matchmaking_engine.reevaluate_matches_for_sportsbook(sportsbook_id)
    
    # Notify of new potential matches
    new_matches = await matchmaking_engine.find_new_matches(sportsbook_id)
    if new_matches:
        await notification_service.notify_new_matches(sportsbook_id, new_matches)
    
    return {"status": "updated", "new_matches_found": len(new_matches)}
 
@router.get("/requirements/{sportsbook_id}", response_model=SportsbookRequirementsSchema)
async def get_requirements(sportsbook_id: str, user=Depends(get_current_sportsbook_user)):
    """Get current sportsbook requirements"""
    
    if user.sportsbook_id != sportsbook_id:
        raise HTTPException(403, "Not authorized")
    
    return await requirements_repository.get(sportsbook_id)

REQ-LSM-005: Tiered Service Levels

User Story: As a league owner, I want tiered service levels based on the number of sportsbook partnerships, so that I can choose a pricing plan that matches my business needs.

Acceptance Criteria

  1. THE Self_Service_Portal SHALL offer multiple Service_Level tiers based on sportsbook partnership quantity
  2. WHEN selecting a service level, THE Self_Service_Portal SHALL display clear pricing for each tier
  3. THE Service_Level SHALL determine the maximum number of sportsbook partnerships available
  4. THE Self_Service_Portal SHALL allow upgrading service levels as league needs grow
  5. WHERE payment is processed, THE Self_Service_Portal SHALL activate the selected service level immediately

Implementation Example (Service Tier Management)

# services/service_tier_service.py
from enum import Enum
from dataclasses import dataclass
from typing import Dict, List
 
from data_layer.schemas.generated.adapters.python.v1.service_tier_schema import ServiceTierSchema
 
class ServiceTier(Enum):
    STARTER = "starter"
    PROFESSIONAL = "professional"
    ENTERPRISE = "enterprise"
 
@dataclass
class TierDefinition:
    max_sportsbooks: int
    price_monthly: float
    features: List[str]
    description: str
 
TIER_DEFINITIONS: Dict[ServiceTier, TierDefinition] = {
    ServiceTier.STARTER: TierDefinition(
        max_sportsbooks=3,
        price_monthly=99.0,
        features=[
            "Basic compliance tracking",
            "API endpoint testing",
            "Up to 3 sportsbook matches"
        ],
        description="Perfect for emerging leagues getting started with sportsbook partnerships"
    ),
    ServiceTier.PROFESSIONAL: TierDefinition(
        max_sportsbooks=10,
        price_monthly=299.0,
        features=[
            "Advanced compliance monitoring",
            "Priority matchmaking",
            "Dedicated support",
            "Up to 10 sportsbook matches",
            "Custom integration assistance"
        ],
        description="Ideal for established leagues seeking multiple partnerships"
    ),
    ServiceTier.ENTERPRISE: TierDefinition(
        max_sportsbooks=999,
        price_monthly=999.0,
        features=[
            "White-label portal",
            "Custom API development",
            "Dedicated account manager",
            "Unlimited sportsbook matches",
            "Advanced analytics and reporting"
        ],
        description="Complete solution for major leagues and sports organizations"
    )
}
 
class ServiceTierService:
    async def upgrade_tier(self, user_id: str, new_tier: ServiceTier) -> Subscription:
        """Upgrade user to new service tier"""
        
        # Validate tier availability
        if new_tier not in TIER_DEFINITIONS:
            raise ValueError(f"Invalid tier: {new_tier}")
        
        # Process payment
        payment_result = await self.payment_processor.charge(
            user_id=user_id,
            amount=TIER_DEFINITIONS[new_tier].price_monthly,
            description=f"Service tier upgrade to {new_tier.value}"
        )
        
        if not payment_result.success:
            raise PaymentError("Payment failed")
        
        # Update subscription
        subscription = await subscription_repository.update(
            user_id=user_id,
            tier=new_tier,
            active=True,
            activated_at=datetime.utcnow(),
            expires_at=datetime.utcnow() + timedelta(days=30)
        )
        
        # Update available sportsbooks limit
        await user_repository.update_sportsbook_limit(
            user_id=user_id,
            limit=TIER_DEFINITIONS[new_tier].max_sportsbooks
        )
        
        # Notify user
        await notification_service.send_tier_upgrade_notification(
            user_id=user_id,
            tier=new_tier,
            features=TIER_DEFINITIONS[new_tier].features
        )
        
        return subscription
    
    async def get_available_tiers(self, user_id: str) -> List[ServiceTierSchema]:
        """Get available service tiers for user"""
        
        current_subscription = await subscription_repository.get(user_id)
        
        tiers = []
        for tier, definition in TIER_DEFINITIONS.items():
            tier_schema = ServiceTierSchema(
                tier=tier.value,
                max_sportsbooks=definition.max_sportsbooks,
                price_monthly=definition.price_monthly,
                features=definition.features,
                description=definition.description,
                available=(current_subscription is None or current_subscription.tier != tier)
            )
            tiers.append(tier_schema)
        
        return tiers

REQ-LSM-006: Backend Infrastructure Integration

User Story: As a system administrator, I want the matchmaking system to integrate with our existing backend infrastructure, so that it leverages our current Google Cloud, database, and N8N webhook capabilities.

Acceptance Criteria

  1. THE Matchmaking_Engine SHALL integrate with the existing Google Cloud dockerized backend
  2. THE Self_Service_Portal SHALL support direct database mutations for real-time updates
  3. THE Matchmaking_Engine SHALL utilize existing N8N services for webhook processing and JSON payload handling
  4. THE Self_Service_Portal SHALL maintain compatibility with the current NextJS frontend architecture
  5. WHERE data synchronization occurs, THE Matchmaking_Engine SHALL ensure consistency across all integrated systems

Implementation Example (N8N Webhook Integration)

# services/n8n_integration_service.py
import httpx
from typing import Dict, Any
 
class N8NIntegrationService:
    def __init__(self, n8n_base_url: str, api_key: str):
        self.base_url = n8n_base_url
        self.api_key = api_key
        self.client = httpx.AsyncClient(
            base_url=n8n_base_url,
            headers={"Authorization": f"Bearer {api_key}"}
        )
    
    async def trigger_compliance_webhook(self, league_id: str, event: str, data: Dict[str, Any]):
        """Trigger N8N workflow for compliance updates"""
        
        payload = {
            "league_id": league_id,
            "event": event,
            "data": data,
            "timestamp": datetime.utcnow().isoformat()
        }
        
        # Trigger N8N workflow
        response = await self.client.post("/webhook/compliance-update", json=payload)
        
        if response.status_code != 200:
            logger.error("N8N webhook failed", status=response.status_code, payload=payload)
            raise N8NIntegrationError(f"Webhook failed: {response.status_code}")
        
        return response.json()
    
    async def process_sportsbook_webhook(self, payload: Dict[str, Any]) -> Dict[str, Any]:
        """Process incoming webhook from sportsbook about requirements change"""
        
        try:
            sportsbook_id = payload.get("sportsbook_id")
            requirements = payload.get("requirements")
            
            # Update requirements in database
            await requirements_repository.update_from_webhook(
                sportsbook_id=sportsbook_id,
                requirements=requirements
            )
            
            # Trigger re-matching for affected leagues
            affected_leagues = await matchmaking_engine.find_affected_leagues(sportsbook_id)
            
            for league_id in affected_leagues:
                await self.recalculate_matches(league_id, sportsbook_id)
            
            return {"status": "processed", "affected_leagues": len(affected_leagues)}
            
        except Exception as e:
            logger.error("Webhook processing failed", error=str(e), payload=payload)
            return {"status": "error", "message": str(e)}

REQ-LSM-007: API Compliance Testing

User Story: As a league owner, I want to test my API compliance and data quality, so that I can ensure my league meets sportsbook technical requirements before going live.

Acceptance Criteria

  1. THE League_NotebookLLM SHALL provide API testing tools for each sportsbook integration
  2. WHEN testing APIs, THE League_NotebookLLM SHALL validate data format, completeness, and update frequency
  3. THE API_Compliance SHALL show real-time test results and error reporting
  4. WHERE API tests fail, THE League_NotebookLLM SHALL provide specific error messages and remediation steps
  5. THE League_NotebookLLM SHALL allow retesting after fixes are implemented

Implementation Example (API Testing Service)

# services/api_compliance_tester.py
import httpx
import json
from typing import Dict, Any, List
from pydantic import ValidationError
 
from data_layer.schemas.generated.adapters.python.v1.api_test_results_schema import ApiTestResultsSchema
 
class ApiComplianceTester:
    async def test_api_endpoint(
        self,
        league_id: str,
        endpoint_url: str,
        test_cases: List[Dict[str, Any]],
        expected_schema: str
    ) -> ApiTestResultsSchema:
        """Test API endpoint against sportsbook requirements"""
        
        results = []
        overall_passed = True
        
        for test_case in test_cases:
            try:
                # Make API call
                response = await httpx.AsyncClient(
                    timeout=10.0,
                    headers={"Authorization": f"Bearer {test_case.get('token')}"}
                ).post(endpoint_url, json=test_case["payload"])
                
                # Validate response
                response_json = response.json()
                
                # Schema validation
                try:
                    validated_response = ApiTestResultsSchema(**response_json)
                    schema_passed = True
                except ValidationError as e:
                    schema_passed = False
                    validation_errors = e.errors()
                
                # Performance validation
                response_time = response.elapsed.total_seconds()
                performance_passed = response_time < test_case.get("max_response_time", 2.0)
                
                # Status code validation
                status_passed = response.status_code == test_case.get("expected_status", 200)
                
                test_result = {
                    "test_case_id": test_case["id"],
                    "endpoint": endpoint_url,
                    "status_code": response.status_code,
                    "response_time": response_time,
                    "schema_passed": schema_passed,
                    "performance_passed": performance_passed,
                    "status_passed": status_passed,
                    "response_sample": response_json if len(str(response_json)) < 1000 else "Truncated",
                    "validation_errors": validation_errors if not schema_passed else None
                }
                
                results.append(test_result)
                overall_passed = overall_passed and (
                    schema_passed and performance_passed and status_passed
                )
                
            except Exception as e:
                test_result = {
                    "test_case_id": test_case["id"],
                    "endpoint": endpoint_url,
                    "error": str(e),
                    "schema_passed": False,
                    "performance_passed": False,
                    "status_passed": False
                }
                results.append(test_result)
                overall_passed = False
        
        # Generate remediation steps
        remediation_steps = await self.generate_remediation_guidance(results, expected_schema)
        
        return ApiTestResultsSchema(
            league_id=league_id,
            endpoint=endpoint_url,
            test_results=results,
            overall_passed=overall_passed,
            remediation_steps=remediation_steps,
            tested_at=datetime.utcnow()
        )
    
    async def generate_remediation_guidance(
        self,
        test_results: List[Dict],
        expected_schema: str
    ) -> List[str]:
        """Generate AI-powered remediation guidance"""
        
        failed_tests = [r for r in test_results if not r["overall_passed"]]
        
        if not failed_tests:
            return ["All tests passed! Your API is ready for integration."]
        
        prompt = f"""
        Based on these failed API tests, provide specific, actionable remediation steps:
        
        Failed Tests: {json.dumps(failed_tests, indent=2)}
        Expected Schema: {expected_schema}
        
        For each failure, provide:
        1. What went wrong
        2. Why it matters for sportsbook integration
        3. Specific steps to fix
        4. Code examples where applicable
        
        Format as numbered list of remediation steps.
        """
        
        response = await self.ai_service.generate_text(prompt)
        return response.split('\n') if response else []

REQ-LSM-008: Real-Time Connections Dashboard

User Story: As a league owner, I want to view all my connections and services in real-time, so that I can monitor the health and status of my sportsbook partnerships.

Acceptance Criteria

  1. THE Self_Service_Portal SHALL display a real-time dashboard of all active sportsbook connections
  2. THE Self_Service_Portal SHALL show connection health, data sync status, and partnership performance metrics
  3. WHEN connection issues occur, THE Self_Service_Portal SHALL provide immediate alerts and diagnostic information
  4. THE Self_Service_Portal SHALL allow manual refresh of connection status for troubleshooting
  5. WHERE partnerships are inactive, THE Self_Service_Portal SHALL indicate reasons and suggested actions

Implementation Example (Real-Time Dashboard - React with WebSockets)

// components/ConnectionsDashboard.tsx
import { useState, useEffect } from 'react';
import { useQueryClient } from '@tanstack/react-query';
import { io } from 'socket.io-client';
import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
import { Badge } from '@/components/ui/badge';
import { AlertCircle, CheckCircle, Clock, RefreshCw } from 'lucide-react';
import { ConnectionStatusSchema } from 'data_layer/schemas/generated/adapters/typescript/v1/connection_status_schema';
 
export function ConnectionsDashboard() {
  const [connections, setConnections] = useState<ConnectionStatusSchema[]>([]);
  const [isRefreshing, setIsRefreshing] = useState(false);
  const queryClient = useQueryClient();
  
  useEffect(() => {
    // Initialize WebSocket for real-time updates
    const socket = io('/api/ws/connections');
    
    socket.on('connection_update', (updatedConnection: ConnectionStatusSchema) => {
      setConnections(prev => 
        prev.map(conn => conn.sportsbook_id === updatedConnection.sportsbook_id 
          ? updatedConnection 
          : conn
        )
      );
    });
    
    socket.on('connection_alert', (alert: any) => {
      // Show toast notification
      toast.error(`Connection issue: ${alert.message}`);
    });
    
    // Load initial data
    loadConnections();
    
    return () => socket.disconnect();
  }, []);
  
  const loadConnections = async () => {
    const data = await queryClient.fetchQuery({
      queryKey: ['connections'],
      queryFn: () => fetch('/api/connections/status').then(res => res.json())
    });
    setConnections(data);
  };
  
  const handleManualRefresh = async () => {
    setIsRefreshing(true);
    await loadConnections();
    setIsRefreshing(false);
  };
  
  const getStatusVariant = (status: string) => {
    switch (status) {
      case 'active': return 'default' as const;
      case 'degraded': return 'secondary' as const;
      case 'disconnected': return 'destructive' as const;
      case 'pending': return 'outline' as const;
      default: return 'ghost' as const;
    }
  };
  
  return (
    <div className="space-y-6">
      <div className="flex items-center justify-between">
        <h2 className="text-2xl font-bold">Sportsbook Connections</h2>
        <button 
          onClick={handleManualRefresh} 
          disabled={isRefreshing}
          className="flex items-center gap-2 btn-secondary"
        >
          {isRefreshing ? <RefreshCw className="h-4 w-4 animate-spin" /> : <RefreshCw className="h-4 w-4" />}
          Refresh
        </button>
      </div>
      
      <div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-6">
        {connections.map((connection) => (
          <Card key={connection.sportsbook_id}>
            <CardHeader>
              <div className="flex items-center justify-between">
                <CardTitle className="text-lg">{connection.sportsbook_name}</CardTitle>
                <Badge variant={getStatusVariant(connection.status)}>
                  {connection.status}
                </Badge>
              </div>
              <p className="text-sm text-muted-foreground">
                Connected since {new Date(connection.connected_at).toLocaleDateString()}
              </p>
            </CardHeader>
            
            <CardContent className="space-y-4">
              {/* Health Metrics */}
              <div className="grid grid-cols-2 gap-4 text-sm">
                <div>
                  <span className="text-muted-foreground">Data Sync</span>
                  <div className="flex items-center gap-2 mt-1">
                    {connection.data_sync_status === 'healthy' ? (
                      <CheckCircle className="h-4 w-4 text-green-500" />
                    ) : (
                      <AlertCircle className="h-4 w-4 text-destructive" />
                    )}
                    <span>{connection.data_sync_status}</span>
                  </div>
                </div>
                
                <div>
                  <span className="text-muted-foreground">Last Update</span>
                  <div className="flex items-center gap-2 mt-1">
                    <Clock className="h-4 w-4" />
                    <span>{connection.last_update_ago}</span>
                  </div>
                </div>
                
                <div>
                  <span className="text-muted-foreground">Compliance</span>
                  <Progress value={connection.compliance_score} className="mt-1" />
                  <span className="text-xs text-muted-foreground">{connection.compliance_score}%</span>
                </div>
                
                <div>
                  <span className="text-muted-foreground">Performance</span>
                  <div className="flex items-center gap-2 mt-1">
                    <span className="text-sm font-medium">{connection.avg_response_time}ms</span>
                  </div>
                </div>
              </div>
              
              {/* Alerts */}
              {connection.has_issues && (
                <Alert variant="destructive">
                  <AlertCircle className="h-4 w-4" />
                  <AlertDescription>
                    {connection.issue_description}
                    <div className="mt-2">
                      <button className="text-xs underline">View Diagnostics</button>
                    </div>
                  </AlertDescription>
                </Alert>
              )}
            </CardContent>
          </Card>
        ))}
      </div>
      
      {connections.length === 0 && (
        <Card>
          <CardContent className="text-center py-12">
            <p className="text-muted-foreground">No active connections. Complete your profile to start matching with sportsbooks.</p>
          </CardContent>
        </Card>
      )}
    </div>
  );
}

Non-Functional Requirements

Performance Requirements

  • Real-Time Updates: Compliance status refreshes every 30 seconds without blocking UI
  • API Response Time: <200ms for matchmaking queries and compliance checks
  • Concurrent Users: Support 500+ simultaneous league owners browsing matches
  • Data Sync Latency: <5 seconds for webhook-processed updates
  • Dashboard Load: <2 seconds initial load with 50+ connection cards

Reliability Requirements

  • System Availability: 99.9% uptime for matchmaking and compliance services
  • Data Consistency: Eventual consistency within 10 seconds across distributed systems
  • Error Recovery: Automatic retry for transient API failures with exponential backoff
  • Graceful Degradation: Continue matchmaking with cached data during outages
  • Backup Strategy: Daily database snapshots with 7-day retention

Security Requirements

  • Authentication: JWT-based auth with role-based access control
  • Data Privacy: PII encrypted at rest and in transit, GDPR compliant
  • API Security: Rate limiting, input validation, and OAuth2 for external integrations
  • Audit Logging: Complete audit trail for all matchmaking actions and compliance changes
  • Access Control: Sportsbook requirements only visible to authorized personnel

Maintainability Requirements

  • Modular Design: Independent deployment of matchmaking engine and compliance tracker
  • Schema Versioning: Backward-compatible schema evolution with migration tools
  • Monitoring: Comprehensive metrics for all services (Prometheus/Grafana integration)
  • Documentation: Auto-generated API docs and schema documentation
  • Testing Coverage: >90% unit test coverage, >80% integration test coverage

Success Metrics

User Adoption

  • Registration Completion: >70% of started registrations complete onboarding
  • Service Tier Upgrade: 25% of starter users upgrade to professional within 90 days
  • Active Usage: >60% monthly active users in League NotebookLLM
  • Compliance Improvement: Average compliance score increases 20% within 30 days

Matchmaking Effectiveness

  • Match Quality: >80% of recommended matches result in partnership discussions
  • Conversion Rate: >40% of matches lead to active integrations
  • User Satisfaction: NPS > 70 for matchmaking experience
  • False Positives: <5% of matches fail due to undisclosed requirements

Technical Performance

  • System Reliability: 99.9% uptime, <1% error rate on critical paths
  • Response Times: P95 < 300ms for API calls, P95 < 2s for dashboard loads
  • Scalability: Handle 10x user growth without performance degradation
  • Data Accuracy: >95% accuracy in compliance assessments and matchmaking scores

Business Impact

  • Revenue Growth: $500K ARR from service tier subscriptions within first year
  • Partnership Velocity: 3x faster league-to-sportsbook connection time vs. manual processes
  • Market Penetration: 20% of target leagues in top 5 sport domains onboarded
  • Compliance Efficiency: 80% reduction in manual compliance validation time

Error Handling

Compliance Validation Errors

  • API Endpoint Failures: Detailed error messages with remediation steps
  • Data Quality Issues: Specific field-level validation errors
  • Authentication Problems: Clear guidance on credential setup
  • Rate Limiting: Automatic retry logic with exponential backoff

Matchmaking Errors

  • No Compatible Sportsbooks: Suggestions for improving league profile
  • Tier Limitations: Clear upgrade path messaging
  • Incomplete Profiles: Step-by-step completion guidance

Testing Strategy

Unit Testing

  • Schema Validation: Test all Pydantic models against edge cases
  • Matchmaking Algorithm: Comprehensive compatibility scoring tests
  • Compliance Logic: Validation of all compliance rules and thresholds

Integration Testing

  • API Endpoints: Full CRUD operations for all entities
  • Database Operations: Test schema migrations and data consistency
  • External Services: Mock sportsbook APIs and webhook processing

End-to-End Testing

  • User Flows: Complete onboarding and matchmaking journeys
  • Compliance Workflows: Full compliance assessment and remediation cycles
  • Payment Processing: Service tier upgrades and billing integration

Performance Testing

  • Real-time Updates: Compliance status refresh under load
  • Matchmaking Speed: Algorithm performance with large datasets
  • Database Queries: Neo4j relationship queries optimization

Integration Points

Existing Infrastructure Leverage

Schema Generation Pipeline

# Extend existing adapter generation for new schemas
python data_layer/schemas/scripts/generate_adapters.py --version v1 --target all --include matchmaking,compliance,service_tiers

Database Integration

  • PostgreSQL: Transactional data using existing Drizzle adapters
  • Redshift: Analytics and reporting using existing SQL adapters
  • Neo4j: Relationship mapping using existing Cypher adapters

N8N Webhook Integration

{
  "webhook_endpoints": {
    "compliance_update": "/webhooks/compliance/update",
    "sportsbook_requirements_change": "/webhooks/sportsbook/requirements",
    "partnership_status_change": "/webhooks/partnership/status"
  }
}

Frontend Integration

  • Existing NextJS Architecture: Extend current frontend with new routes
  • Component Library: Reuse existing UI components for consistency
  • Authentication: Leverage existing user management system

New Service Endpoints

Matchmaking API

// GET /api/matchmaking/compatible-sportsbooks/:league_id
// POST /api/matchmaking/request-partnership
// PUT /api/matchmaking/update-preferences/:league_id

Compliance API

// GET /api/compliance/status/:league_id/:sportsbook_id
// POST /api/compliance/test-api/:league_id
// GET /api/compliance/remediation-steps/:league_id/:requirement_id

Service Tier API

// GET /api/service-tiers/available
// POST /api/service-tiers/subscribe
// PUT /api/service-tiers/upgrade/:user_id

This guide provides a complete overview of the League-Sportsbook Matchmaking Platform, detailing each requirement, implementation examples, and integration points to ensure successful deployment and operation of this critical business system.

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