{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"openrouter-switchpoint-router","slug":"switchpoint-router","name":"Switchpoint Router","type":"mcp","url":"https://openrouter.ai/models/switchpoint~router","page_url":"https://unfragile.ai/switchpoint-router","categories":["mcp-servers"],"tags":["switchpoint","api-access","text"],"pricing":{"model":"paid","free":false,"starting_price":"$8.50e-7 per prompt token"},"status":"active","verified":false},"capabilities":[{"id":"openrouter-switchpoint-router__cap_0","uri":"capability://planning.reasoning.dynamic.model.routing.with.request.analysis","name":"dynamic-model-routing-with-request-analysis","description":"Analyzes incoming requests in real-time to classify task type, complexity, and requirements, then routes to the optimal model from a continuously updated library of LLMs. Uses request embeddings and metadata extraction to match task characteristics against model capability profiles, enabling automatic selection without explicit user specification. The router maintains a dynamic scoring matrix that evolves as new models become available and performance data accumulates.","intents":["Route my request to the best available model without manually selecting between Claude, GPT-4, Llama, or other options","Ensure cost-optimal model selection based on task complexity and my budget constraints","Automatically upgrade to better models as they become available without changing my application code","Handle requests that might need different models (coding vs. creative writing vs. analysis) with a single endpoint"],"best_for":["Application developers building multi-model LLM systems who want abstraction from model selection logic","Teams managing variable workloads across different task types (coding, content, analysis) with budget constraints","Builders prototyping LLM features who want to defer model selection decisions until performance data is available"],"limitations":["Routing latency adds ~50-200ms per request for analysis and model selection overhead","No visibility into routing decisions without explicit logging — black-box selection can complicate debugging","Router's optimization criteria (cost vs. quality vs. speed) are not user-configurable — fixed to Switchpoint's internal weighting","Dependent on Switchpoint's model library updates — no guarantee specific models remain available or routing strategy remains consistent"],"requires":["API key for OpenRouter or direct Switchpoint access","HTTP/REST client capability or SDK integration","Request payload with sufficient context (minimum ~50 characters recommended for accurate routing)"],"input_types":["text (natural language requests, code snippets, prompts)","structured metadata (task tags, priority hints, budget constraints)"],"output_types":["text (model response from selected LLM)","structured metadata (routing decision info, selected model name, confidence score)"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-switchpoint-router__cap_1","uri":"capability://planning.reasoning.cost.aware.model.selection.with.budget.optimization","name":"cost-aware-model-selection-with-budget-optimization","description":"Routes requests to models that meet quality/latency requirements while minimizing API costs based on task complexity and token usage patterns. Analyzes request characteristics to predict token consumption and selects models with optimal cost-per-capability ratios. Integrates with OpenRouter's pricing data to make real-time cost comparisons across different model providers and versions.","intents":["Minimize my API costs while maintaining acceptable response quality for my use case","Automatically select cheaper models for simple tasks (classification, summarization) and premium models only when needed","Track and optimize spending across multiple model providers through a single routing interface","Set budget constraints and have the router respect cost limits while degrading gracefully"],"best_for":["Cost-sensitive startups and indie developers building LLM applications with tight budgets","Teams with variable workloads wanting to optimize spend per request type","Applications serving diverse user requests where cost optimization per task is critical"],"limitations":["Cost optimization may introduce latency tradeoffs — cheaper models often have slower response times","No multi-objective optimization UI — cannot easily balance cost vs. speed vs. quality interactively","Pricing data freshness depends on OpenRouter's update frequency — may lag actual provider pricing by hours","Cannot predict token usage perfectly for all request types — estimates may be inaccurate for edge cases"],"requires":["API key with billing enabled","Access to OpenRouter's pricing API or Switchpoint's pricing data feed","Ability to track and aggregate costs across requests"],"input_types":["text (request content for token estimation)","metadata (task type, quality requirements, budget constraints)"],"output_types":["text (model response)","cost metadata (estimated cost, selected model pricing tier, savings vs. premium alternative)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-switchpoint-router__cap_2","uri":"capability://planning.reasoning.request.classification.and.task.type.detection","name":"request-classification-and-task-type-detection","description":"Automatically detects the task type (coding, creative writing, analysis, reasoning, translation, etc.) from incoming requests using semantic analysis and pattern matching. Extracts task requirements (latency sensitivity, reasoning depth, factuality constraints) to build a capability profile that guides model selection. Uses embeddings and lightweight classifiers to categorize requests without requiring explicit task tags from users.","intents":["Automatically detect whether my request needs a coding-specialized model, a reasoning-focused model, or a general-purpose model","Extract implicit requirements (e.g., 'needs to be fast', 'needs to be creative', 'needs to be factual') from my natural language request","Route requests to models optimized for specific domains without me having to specify the domain","Improve routing accuracy by understanding nuanced request characteristics beyond simple keyword matching"],"best_for":["Applications with diverse user requests that span multiple task types (Q&A, code generation, content creation)","Teams wanting to avoid explicit task tagging or model selection from end users","Builders needing automatic task-to-model mapping for multi-domain applications"],"limitations":["Classification accuracy degrades on ambiguous or multi-task requests — may misroute requests that combine coding and creative elements","No user control over classification logic — cannot override or tune task detection for domain-specific needs","Requires sufficient request context (minimum ~100 characters) for accurate classification — very short requests may be misclassified","Latency overhead of ~30-100ms for classification analysis per request"],"requires":["Request with sufficient natural language context","Access to embedding models or lightweight classifiers (included in Switchpoint router)"],"input_types":["text (natural language request)"],"output_types":["structured metadata (detected task type, confidence score, extracted requirements)"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-switchpoint-router__cap_3","uri":"capability://automation.workflow.continuous.model.library.updates.and.capability.evolution","name":"continuous-model-library-updates-and-capability-evolution","description":"Maintains an automatically updated library of available models and their capabilities, integrating new models as they become available and retiring outdated ones. The router's decision logic evolves as new models enter the ecosystem, ensuring applications automatically benefit from improvements without code changes. Tracks model performance metrics (latency, quality, cost) to continuously refine routing decisions based on real-world usage data.","intents":["Ensure my application automatically uses the best available models as new ones are released","Avoid manual model selection updates when new models become available or old ones are deprecated","Benefit from performance improvements in the LLM ecosystem without changing my application code","Access a curated, up-to-date library of models without managing integrations myself"],"best_for":["Long-lived applications that need to stay current with the rapidly evolving LLM landscape","Teams without dedicated ML infrastructure to manage model updates and integrations","Builders wanting to future-proof their applications against model obsolescence"],"limitations":["No control over which models are added or removed from the library — dependent on Switchpoint's curation decisions","Routing behavior may change unexpectedly when new models are added or performance data shifts — can break application assumptions","No versioning or pinning mechanism to lock to specific model versions — applications must adapt to router evolution","Telemetry collection required to optimize routing — privacy implications of performance tracking"],"requires":["Ongoing API access to Switchpoint router","Ability to handle routing decisions that may change over time"],"input_types":["text (requests)"],"output_types":["text (responses from dynamically selected models)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-switchpoint-router__cap_4","uri":"capability://tool.use.integration.multi.provider.model.aggregation.with.unified.interface","name":"multi-provider-model-aggregation-with-unified-interface","description":"Abstracts away provider-specific API differences (OpenAI, Anthropic, Meta, Mistral, etc.) by presenting a unified interface for model access. Handles provider-specific authentication, request formatting, response parsing, and error handling transparently. Routes requests to models across different providers based on capability matching, enabling seamless switching between providers without application code changes.","intents":["Access models from multiple providers (OpenAI, Anthropic, Llama, etc.) through a single API endpoint","Switch between providers automatically based on availability, cost, or performance without changing my code","Avoid managing separate API keys and integrations for each model provider","Handle provider-specific quirks (different token limits, response formats, error codes) transparently"],"best_for":["Applications needing access to diverse models across multiple providers","Teams wanting to reduce vendor lock-in by abstracting provider-specific details","Builders prototyping with multiple models and wanting to defer provider selection"],"limitations":["Abstraction adds latency overhead for request/response translation — typically 10-50ms per request","Provider-specific features (streaming, function calling, vision) may not be fully supported or may have inconsistent behavior across providers","Error handling is normalized but may lose provider-specific error details useful for debugging","No support for provider-specific optimizations or advanced features that don't map to the unified interface"],"requires":["API keys for desired providers (or Switchpoint-managed credentials)","HTTP/REST client or SDK"],"input_types":["text (requests in unified format)"],"output_types":["text (responses normalized to unified format)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"openrouter-switchpoint-router__cap_5","uri":"capability://automation.workflow.fallback.and.redundancy.routing.with.graceful.degradation","name":"fallback-and-redundancy-routing-with-graceful-degradation","description":"Implements automatic fallback routing when the primary selected model is unavailable, rate-limited, or experiencing errors. Maintains a ranked list of alternative models that can serve the same request with acceptable quality degradation. Routes to fallback models transparently without exposing errors to the application, enabling high availability and resilience across model provider outages.","intents":["Ensure my application continues working even if my preferred model is unavailable or rate-limited","Automatically fall back to alternative models without manual error handling in my code","Maintain service availability during provider outages or maintenance windows","Handle rate limiting gracefully by routing to less-constrained models"],"best_for":["Production applications requiring high availability and resilience to provider outages","Teams with SLA requirements that cannot tolerate model unavailability","Applications serving critical use cases where graceful degradation is preferable to errors"],"limitations":["Fallback models may have different quality/latency characteristics — response quality may degrade noticeably","No user control over fallback selection criteria — router determines fallback order automatically","Fallback routing adds latency when primary model fails — retry logic may add 100-500ms per request","Cannot guarantee fallback availability — if all models are unavailable, request will still fail"],"requires":["Access to multiple models in the router's library","Tolerance for quality/latency degradation when fallbacks are used"],"input_types":["text (requests)"],"output_types":["text (responses from primary or fallback model)","metadata (whether fallback was used, which model served the request)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":29,"verified":false,"data_access_risk":"moderate","permissions":["API key for OpenRouter or direct Switchpoint access","HTTP/REST client capability or SDK integration","Request payload with sufficient context (minimum ~50 characters recommended for accurate routing)","API key with billing enabled","Access to OpenRouter's pricing API or Switchpoint's pricing data feed","Ability to track and aggregate costs across requests","Request with sufficient natural language context","Access to embedding models or lightweight classifiers (included in Switchpoint router)","Ongoing API access to Switchpoint router","Ability to handle routing decisions that may change over time"],"failure_modes":["Routing latency adds ~50-200ms per request for analysis and model selection overhead","No visibility into routing decisions without explicit logging — black-box selection can complicate debugging","Router's optimization criteria (cost vs. quality vs. speed) are not user-configurable — fixed to Switchpoint's internal weighting","Dependent on Switchpoint's model library updates — no guarantee specific models remain available or routing strategy remains consistent","Cost optimization may introduce latency tradeoffs — cheaper models often have slower response times","No multi-objective optimization UI — cannot easily balance cost vs. speed vs. quality interactively","Pricing data freshness depends on OpenRouter's update frequency — may lag actual provider pricing by hours","Cannot predict token usage perfectly for all request types — estimates may be inaccurate for edge cases","Classification accuracy degrades on ambiguous or multi-task requests — may misroute requests that combine coding and creative elements","No user control over classification logic — cannot override or tune task detection for domain-specific needs","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.37,"ecosystem":0.24,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:25.059Z","last_scraped_at":"2026-05-03T15:20:45.776Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=switchpoint-router","compare_url":"https://unfragile.ai/compare?artifact=switchpoint-router"}},"signature":"xSnoBLlNk5I4ytc4fbYfT1MFggCcSkRkzvbuQhjqRTRwHg5oi/7pUknUhWfuzHQGOiiFV9WnmZfbn3mIg6OaBA==","signedAt":"2026-06-20T18:41:51.443Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/switchpoint-router","artifact":"https://unfragile.ai/switchpoint-router","verify":"https://unfragile.ai/api/v1/verify?slug=switchpoint-router","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}