{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"upstash","slug":"upstash","name":"Upstash","type":"platform","url":"https://upstash.com","page_url":"https://unfragile.ai/upstash","categories":["deployment-infra","rag-knowledge"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"upstash__cap_0","uri":"capability://memory.knowledge.serverless.redis.key.value.store.with.rest.api","name":"serverless redis key-value store with rest api","description":"Provides a fully managed Redis-compatible key-value store accessible via HTTP REST endpoints rather than native Redis protocol. Upstash handles all infrastructure provisioning, replication, and scaling automatically. Data is stored in-memory with disk persistence and automatic backups, enabling sub-millisecond read/write operations for caching, session storage, and rate limiting without managing Redis instances.","intents":["I need a distributed cache for my serverless functions without managing Redis infrastructure","I want to implement rate limiting across multiple edge locations globally","I need session storage that scales automatically with my application traffic","I want to store temporary data with TTL expiration without provisioning a database"],"best_for":["serverless application developers using Vercel, Fly.io, or AWS Lambda","teams building edge-first applications requiring global low-latency caching","startups avoiding infrastructure management overhead"],"limitations":["REST API only — no native Redis protocol support confirmed, limiting compatibility with standard Redis clients","Max 10,000 commands/second on standard plans; Enterprise required for higher throughput","Max request size 10 MB (standard) or 500 MB (Enterprise); larger operations require batching","Max record size 100 MB (standard) or 5 GB (Enterprise); not suitable for large binary blobs","Cold start latency not documented; actual response times unknown","Data export mechanism not documented; potential vendor lock-in risk"],"requires":["Upstash account with API credentials (REST URL and token)","@upstash/redis TypeScript SDK or HTTP client library","Network connectivity to Upstash REST endpoints"],"input_types":["key-value pairs (strings, numbers, JSON objects)","lists, sets, sorted sets, hashes (Redis data structures)","TTL values for expiration"],"output_types":["cached values (strings, JSON)","operation confirmations (success/failure)","metadata (key existence, TTL remaining)"],"categories":["memory-knowledge","caching-infrastructure"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_1","uri":"capability://memory.knowledge.vector.database.with.semantic.search.and.rag.integration","name":"vector database with semantic search and rag integration","description":"Manages vector embeddings (from external embedding models) with REST API endpoints for upserting, querying, and deleting vectors. Supports metadata filtering, hybrid search combining vector similarity with keyword matching, and batch operations. Enables retrieval-augmented generation (RAG) workflows by storing embeddings and returning semantically similar documents to augment LLM prompts.","intents":["I need to store embeddings from OpenAI or other embedding APIs and query them by semantic similarity","I want to build a RAG system that retrieves relevant documents to augment LLM responses","I need to implement semantic search across my product documentation or knowledge base","I want to filter vector search results by metadata (e.g., document type, date range)"],"best_for":["AI/ML engineers building RAG pipelines with LLMs","product teams implementing semantic search features","developers integrating vector search into serverless applications"],"limitations":["Does NOT generate embeddings — requires external embedding service (OpenAI, Cohere, Hugging Face, etc.)","Hybrid search combining vectors + keyword matching not fully documented; implementation details unknown","Max vector dimension not specified; compatibility with different embedding models unclear","Metadata filtering capabilities not detailed; complex filtering logic may require application-level post-processing","Batch operation limits not documented; large-scale upserts may require pagination","No built-in reranking or relevance scoring beyond cosine similarity"],"requires":["Upstash Vector database instance with REST URL and token","@upstash/vector TypeScript SDK or HTTP client","Pre-computed embeddings from external embedding model (OpenAI, Cohere, etc.)","Metadata structure defined for filtering (optional but recommended)"],"input_types":["vector embeddings (float arrays)","document IDs and content","metadata objects (JSON) for filtering","query vectors for similarity search"],"output_types":["ranked list of similar vectors with scores","document IDs and metadata of matches","similarity scores (cosine distance)"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_10","uri":"capability://safety.moderation.enterprise.features.with.saml.sso.and.private.link","name":"enterprise features with saml sso and private link","description":"Upstash Prod Pack and Enterprise tiers provide advanced security and compliance features including SAML single sign-on (SSO) for team authentication, AWS PrivateLink for private network connectivity, and SLA contracts with guaranteed uptime. These features enable enterprise deployments with strict security and compliance requirements.","intents":["I need to enforce centralized authentication for my team using SAML/OAuth","I want to connect to Upstash over private networks without exposing data to the internet","I need contractual SLA guarantees and support for production workloads","I require HIPAA or SOC 2 compliance for regulated industries"],"best_for":["enterprise teams with strict security and compliance requirements","organizations using centralized identity management (Okta, Azure AD)","applications handling sensitive data requiring private network connectivity"],"limitations":["SAML SSO only available on Prod Pack+; Free and standard plans lack centralized authentication","PrivateLink only available on Prod Pack+; standard plans require internet connectivity","SLA contract details not documented; specific uptime guarantees and remedies unclear","HIPAA and SOC 2 compliance not confirmed; certification status unknown","Pricing for Prod Pack and Enterprise not publicly listed; custom quotes required","Implementation and setup complexity not documented; integration effort unclear"],"requires":["Upstash Prod Pack or Enterprise tier subscription","SAML identity provider (Okta, Azure AD, Google Workspace, etc.) for SSO","AWS account with PrivateLink support for private connectivity","Enterprise support plan for SLA guarantees"],"input_types":["SAML configuration (IdP metadata, assertion attributes)","PrivateLink endpoint configuration","SLA requirements and compliance standards"],"output_types":["authentication tokens and session management","private network connectivity status","SLA compliance reports and uptime metrics"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_11","uri":"capability://automation.workflow.scheduled.task.execution.with.cron.expressions","name":"scheduled task execution with cron expressions","description":"Upstash Workflow and QStash support scheduling tasks using cron expressions or delay parameters, enabling time-based automation without external schedulers. Tasks are executed at specified times with automatic retry on failure. Scheduling is managed by Upstash infrastructure, eliminating need for separate cron job infrastructure or scheduled Lambda functions.","intents":["I need to run background tasks at specific times (e.g., daily reports, cleanup jobs)","I want to schedule tasks with cron expressions without managing cron infrastructure","I need reliable scheduled execution with automatic retries on failure","I want to avoid Lambda reserved concurrency costs for scheduled tasks"],"best_for":["serverless applications requiring scheduled task execution","teams avoiding CloudWatch Events or EventBridge for simple scheduling","applications with time-based workflows (daily, weekly, monthly tasks)"],"limitations":["Scheduling precision not documented; exact execution time guarantees unknown","Cron expression syntax and limitations not fully specified","Max scheduled tasks per account not documented; scaling limits unclear","Timezone handling not documented; UTC vs local time behavior unclear","Scheduling latency not specified; time between scheduled time and actual execution unknown","No UI for managing scheduled tasks; configuration via API only"],"requires":["Upstash QStash or Workflow instance","@upstash/qstash or @upstash/workflow SDK","Cron expression or delay parameter for scheduling","HTTP endpoint or function to execute"],"input_types":["cron expressions (e.g., '0 9 * * MON')","delay values (seconds, minutes, hours)","task payload (JSON)","retry configuration"],"output_types":["scheduled task ID","next execution time","execution history and logs","retry attempt metadata"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_12","uri":"capability://search.retrieval.metadata.filtering.and.hybrid.search.across.vectors.and.keywords","name":"metadata filtering and hybrid search across vectors and keywords","description":"Upstash Vector supports filtering search results by metadata fields (e.g., document type, date range, author) in addition to vector similarity. Hybrid search combines vector semantic matching with keyword filtering, enabling precise retrieval. Metadata is stored alongside vectors and used to narrow search scope before or after similarity ranking.","intents":["I need to search vectors by semantic similarity AND filter by metadata (e.g., document type, date)","I want to implement faceted search combining vector and keyword matching","I need to restrict vector search to specific document categories or time ranges","I want to improve search precision by combining semantic and metadata filters"],"best_for":["RAG systems requiring precise document retrieval with multiple filter dimensions","applications with large document collections needing filtered search","teams implementing advanced search UX with facets and filters"],"limitations":["Metadata filtering syntax and capabilities not fully documented","Complex filtering logic (AND, OR, NOT) support unclear","Filter performance impact not specified; latency overhead unknown","Metadata field types and constraints not documented","Filtering before vs after similarity ranking not specified; performance implications unclear","No aggregation or facet counting for metadata values"],"requires":["Upstash Vector instance","@upstash/vector SDK","Metadata structure defined for documents","Filtering criteria in query"],"input_types":["vector embeddings with metadata objects","query vectors","filter expressions (metadata predicates)"],"output_types":["filtered vector search results","similarity scores","matched metadata"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_13","uri":"capability://data.processing.analysis.batch.operations.for.bulk.upsert.and.delete","name":"batch operations for bulk upsert and delete","description":"Upstash supports batch operations for efficiently upserting or deleting multiple vectors, keys, or documents in a single API call. Batch operations reduce network overhead and improve throughput compared to individual requests. Batches are processed atomically or with partial success handling, enabling efficient bulk data management.","intents":["I need to efficiently load large numbers of embeddings into the vector database","I want to delete multiple keys or documents in a single operation","I need to minimize API calls and network latency for bulk operations","I want to update search indexes with large document collections"],"best_for":["applications performing bulk data imports or migrations","RAG systems indexing large document collections","teams optimizing API call volume and costs"],"limitations":["Max batch size not documented; limits on items per batch unclear","Batch processing semantics not specified; atomic vs partial success behavior unknown","Error handling for partial batch failures not documented","Batch operation latency not specified; throughput improvements unclear","No transaction support across multiple batches","Ordering guarantees for batch operations not documented"],"requires":["Upstash instance (Redis, Vector, or Search)","@upstash SDK with batch operation support","Data prepared in batch format (array of items)"],"input_types":["arrays of vectors with metadata","arrays of key-value pairs","arrays of documents for indexing"],"output_types":["batch operation status (success/failure)","count of processed items","error details for failed items"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_2","uri":"capability://automation.workflow.message.queue.with.rest.api.and.scheduled.delivery","name":"message queue with rest api and scheduled delivery","description":"QStash provides a serverless message queue accessible via REST API for asynchronous task execution and event-driven workflows. Messages can be scheduled for future delivery, retried with exponential backoff, and routed to HTTP endpoints or other services. Enables decoupling of request/response cycles in serverless architectures without managing queue infrastructure.","intents":["I need to queue background tasks (email sending, image processing) without blocking user requests","I want to schedule tasks to run at specific times or with delays","I need reliable message delivery with automatic retries and dead-letter handling","I want to trigger webhooks or HTTP endpoints asynchronously from my serverless functions"],"best_for":["serverless application developers building event-driven architectures","teams implementing background job processing without dedicated queue infrastructure","applications requiring scheduled task execution (cron-like behavior)"],"limitations":["HTTP endpoint delivery only — no native message broker protocol support (AMQP, MQTT)","Retry policy configuration not documented; default exponential backoff behavior unclear","Dead-letter queue handling not specified; failed messages may be lost after retry exhaustion","Message ordering guarantees not documented; FIFO behavior unknown","Max message size not specified; large payload handling unclear","Latency for scheduled delivery not guaranteed; exact scheduling precision unknown"],"requires":["Upstash QStash instance with API credentials","@upstash/qstash TypeScript SDK or HTTP client","HTTP endpoint to receive messages (webhook URL)","Network connectivity to Upstash and target endpoints"],"input_types":["JSON message payloads","scheduling parameters (delay, cron expression)","retry configuration (max retries, backoff strategy)","target endpoint URL"],"output_types":["message ID for tracking","delivery status (queued, delivered, failed)","retry attempt metadata"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_3","uri":"capability://automation.workflow.workflow.orchestration.with.durable.execution.and.state.management","name":"workflow orchestration with durable execution and state management","description":"Upstash Workflow provides a TypeScript-based framework for building durable, fault-tolerant workflows that survive function restarts and infrastructure failures. Workflows are defined as code with built-in state management, automatic checkpointing, and retry logic. Execution state is persisted to Upstash infrastructure, enabling long-running processes (hours/days) in serverless environments without external orchestration tools.","intents":["I need to build multi-step workflows that survive Lambda/function timeouts and restarts","I want to orchestrate complex business processes (approval chains, data pipelines) without external tools","I need to implement retry logic and error handling across distributed function calls","I want to track workflow progress and state across multiple serverless invocations"],"best_for":["serverless application developers building complex workflows","teams migrating from Step Functions or Temporal to serverless-native solutions","applications requiring durable execution without dedicated orchestration infrastructure"],"limitations":["TypeScript/JavaScript only — no Python, Go, or other language support documented","Max workflow duration not specified; long-running process limits unknown","Pricing model for workflow execution not clearly documented; cost per step/invocation unclear","Debugging and observability features not detailed; workflow tracing/logging capabilities unknown","Concurrency limits not specified; parallel step execution constraints unknown","State size limits not documented; large workflow state may incur additional costs"],"requires":["Upstash Workflow SDK (@upstash/workflow)","TypeScript/JavaScript runtime","Upstash account with Workflow service enabled","HTTP endpoints or functions to execute as workflow steps"],"input_types":["workflow definition (TypeScript code)","step inputs (JSON-serializable data)","error handling configuration","retry policies"],"output_types":["workflow execution ID","step execution results","workflow completion status","error logs and retry metadata"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_4","uri":"capability://search.retrieval.full.text.search.with.indexing.and.ranking","name":"full-text search with indexing and ranking","description":"Upstash Search provides full-text search capabilities with automatic indexing, keyword matching, and relevance ranking. Documents are indexed with configurable analyzers and field weights. Queries support boolean operators, phrase matching, and field-specific search. Results are ranked by relevance score, enabling search-as-you-type and autocomplete features in applications.","intents":["I need to implement full-text search across product documentation or knowledge bases","I want to build search-as-you-type functionality with autocomplete suggestions","I need to rank search results by relevance and support advanced query syntax","I want to index and search structured documents with field-specific queries"],"best_for":["developers building search features into serverless applications","teams implementing documentation search or knowledge base retrieval","applications requiring full-text search without Elasticsearch infrastructure"],"limitations":["Indexing latency not documented; time to search after document upsert unknown","Max index size not specified; scalability limits for large document collections unclear","Query syntax and operators not fully documented; advanced search capabilities unknown","Relevance ranking algorithm not detailed; customization options for scoring unclear","Language support and stemming/tokenization behavior not documented","Faceted search and aggregations not mentioned; filtering capabilities limited"],"requires":["Upstash Search instance with API credentials","@upstash/search TypeScript SDK or HTTP client","Document collection with defined schema/fields","Indexing pipeline to populate documents"],"input_types":["documents (JSON objects with text fields)","search queries (text with optional operators)","field definitions and weights for indexing"],"output_types":["ranked search results with relevance scores","document IDs and matched fields","autocomplete suggestions"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_5","uri":"capability://automation.workflow.pay.per.request.pricing.with.automatic.scaling","name":"pay-per-request pricing with automatic scaling","description":"Upstash charges $0.2 per 100,000 commands (Redis operations) with no minimum commitment, enabling cost-proportional scaling. Pricing scales to zero for idle resources, and bandwidth is unlimited on pay-as-you-go plans. Storage costs $0.25/GB. This model eliminates fixed infrastructure costs and enables applications to scale from zero to thousands of requests per second without pre-provisioning capacity.","intents":["I want to minimize infrastructure costs for low-traffic applications that spike occasionally","I need predictable, usage-based pricing without reserved capacity commitments","I want to avoid paying for idle infrastructure when my application has variable traffic","I need to scale from zero to high throughput without manual capacity planning"],"best_for":["startups and early-stage companies with variable traffic patterns","developers building proof-of-concepts and MVPs with uncertain scale","applications with bursty traffic (e.g., event-driven, time-based spikes)"],"limitations":["Max 10,000 commands/second on standard pay-as-you-go plan; Enterprise required for higher throughput","Scaling latency not documented; time to provision additional capacity unknown","Burst capacity limits not specified; behavior under sudden traffic spikes unclear","Cost predictability difficult for high-volume applications; per-command pricing may exceed fixed-plan costs","No volume discounts documented; pricing remains constant regardless of scale","Free tier limited to 500K commands/month and 256 MB storage; insufficient for production use"],"requires":["Upstash account with pay-as-you-go plan enabled","API credentials (REST URL and token)","Monitoring/alerting to track command volume and costs"],"input_types":["usage metrics (commands executed, storage consumed)","traffic patterns (request rate, burst size)"],"output_types":["monthly billing amount","cost breakdown by operation type","usage analytics and trends"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_6","uri":"capability://automation.workflow.global.replication.with.multi.region.read.replicas","name":"global replication with multi-region read replicas","description":"Upstash automatically replicates data across multiple geographic regions for high availability and disaster recovery. Read replicas can be deployed in additional regions (+$5/month per region) to reduce latency for geographically distributed users. Primary-replica architecture ensures strong consistency for writes while enabling low-latency reads from nearby replicas.","intents":["I need to serve cached data with low latency to users in multiple geographic regions","I want automatic failover and disaster recovery without manual intervention","I need to reduce read latency by placing replicas near my users","I want to ensure data durability across multiple availability zones"],"best_for":["global applications serving users across multiple continents","teams requiring high availability and disaster recovery","applications with strict latency requirements for cached data"],"limitations":["Specific regions not documented; available replication locations unknown","Replication latency not specified; time for data to sync across regions unclear","Consistency model not detailed; eventual consistency behavior for replicas unknown","Failover behavior not documented; automatic promotion of replicas unclear","Read replica cost ($5/month per region) may exceed savings for low-traffic applications","Replication configuration options not detailed; granular control over replica placement unclear"],"requires":["Upstash account with multi-region replication enabled","Prod Pack or Enterprise tier for SLA and advanced replication features","Application logic to route reads to nearest replica (optional)"],"input_types":["replication configuration (regions, replica count)","read/write traffic patterns"],"output_types":["replica status and health metrics","replication lag measurements","failover events and recovery logs"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_7","uri":"capability://tool.use.integration.rest.api.with.typescript.javascript.sdks","name":"rest api with typescript/javascript sdks","description":"Upstash services (Redis, Vector, QStash, Workflow, Search) are accessed via HTTP REST API with official TypeScript/JavaScript SDKs providing type-safe abstractions. SDKs handle authentication, request serialization, and error handling. REST API enables direct HTTP calls for languages without official SDKs, supporting integration with any HTTP client library.","intents":["I want type-safe access to Upstash services from TypeScript/JavaScript applications","I need to integrate Upstash into applications using languages without official SDKs","I want to make direct HTTP calls to Upstash without SDK overhead","I need to implement custom retry logic or request middleware"],"best_for":["TypeScript/JavaScript developers building serverless applications","polyglot teams using multiple programming languages","developers requiring direct HTTP control for custom integrations"],"limitations":["Official SDKs only for TypeScript/JavaScript; Python, Go, Java, Rust not supported","REST API documentation may be incomplete; endpoint specifications unclear","No native Redis protocol support; incompatible with standard Redis clients","HTTP overhead adds latency compared to native protocol connections","Connection pooling not available; each request creates new HTTP connection","Max request size 10 MB (standard) or 500 MB (Enterprise); large payloads require chunking"],"requires":["Upstash API credentials (REST URL and token)","@upstash/redis, @upstash/vector, @upstash/qstash, or @upstash/workflow SDK (TypeScript/JavaScript)","HTTP client library for direct API calls (fetch, axios, etc.)","Node.js 14+ or browser environment with fetch support"],"input_types":["API credentials (URL, token)","request payloads (JSON, binary data)","query parameters and headers"],"output_types":["JSON responses","HTTP status codes","error messages and stack traces"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_8","uri":"capability://automation.workflow.automatic.backups.and.persistence.with.disk.durability","name":"automatic backups and persistence with disk durability","description":"Upstash automatically backs up Redis data and persists it to disk, combining in-memory speed with durability guarantees. Backup frequency and retention policies are managed automatically. Data is replicated across multiple availability zones, ensuring durability even if primary instance fails. Persistence mechanism enables recovery of data after service restarts.","intents":["I need to ensure my cached data survives service restarts and failures","I want automatic backups without manual configuration or management","I need durability guarantees for critical data stored in Redis","I want to recover from data loss without manual intervention"],"best_for":["applications storing critical data in cache (sessions, user state)","teams requiring durability without managing backup infrastructure","applications with strict data loss tolerance requirements"],"limitations":["Backup frequency not documented; RPO (recovery point objective) unknown","Backup retention policy not specified; how long backups are kept unclear","Recovery time objective (RTO) not documented; time to restore from backup unknown","Point-in-time recovery not mentioned; granular recovery options unclear","Backup storage costs not specified; additional charges for backup retention unknown","Backup encryption and security measures not detailed"],"requires":["Upstash Redis instance with persistence enabled (default)","Prod Pack or Enterprise tier for guaranteed backup SLA","No additional configuration required; automatic backups enabled by default"],"input_types":["data written to Redis (key-value pairs, data structures)"],"output_types":["backup metadata (timestamp, size)","recovery status and logs","durability guarantees (RPO/RTO)"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__cap_9","uri":"capability://automation.workflow.monitoring.and.observability.with.third.party.integrations","name":"monitoring and observability with third-party integrations","description":"Upstash integrates with monitoring platforms (Grafana, Datadog, New Relic, Prometheus) to expose metrics and logs. Built-in uptime monitoring tracks service availability (99.99% SLA). Access logging available on Prod Pack+ tiers captures request details for debugging and compliance. Metrics include command counts, latency, error rates, and resource utilization.","intents":["I want to monitor Upstash service health and performance in my existing monitoring stack","I need to track API usage and costs for billing and optimization","I want to debug issues by viewing detailed request logs and error traces","I need to set up alerts for performance degradation or service failures"],"best_for":["teams using Grafana, Datadog, or New Relic for infrastructure monitoring","applications requiring detailed observability for compliance or SLA tracking","developers debugging performance issues or errors"],"limitations":["Access logging only available on Prod Pack+ tiers; Free and standard plans lack detailed logs","Metrics retention period not specified; how long historical data is available unknown","Custom metrics or dimensions not mentioned; limited flexibility for specialized monitoring","Alerting configuration not documented; integration with monitoring platforms unclear","Latency metrics may not include cold start or network overhead","No built-in cost analysis or optimization recommendations"],"requires":["Upstash account with monitoring enabled","Third-party monitoring platform account (Grafana, Datadog, New Relic, or Prometheus)","API credentials and integration configuration for monitoring platform","Prod Pack or Enterprise tier for access logging"],"input_types":["monitoring platform credentials","metric collection configuration","alert thresholds and rules"],"output_types":["performance metrics (latency, throughput, error rates)","resource utilization (CPU, memory, storage)","request logs and traces","uptime and availability reports"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"upstash__headline","uri":"capability://data.processing.analysis.serverless.data.platform.for.redis.and.kafka","name":"serverless data platform for redis and kafka","description":"Upstash is a serverless data platform that offers Redis, Kafka, and a vector database, providing pay-per-request pricing and global replication for low-latency access, ideal for caching and message queuing.","intents":["best serverless data platform","serverless Redis for caching","Kafka solutions for messaging","vector database for AI applications","pay-per-request data services","global replication for low-latency access"],"best_for":["startups","developers building scalable applications"],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":72,"verified":false,"data_access_risk":"high","permissions":["Upstash account with API credentials (REST URL and token)","@upstash/redis TypeScript SDK or HTTP client library","Network connectivity to Upstash REST endpoints","Upstash Vector database instance with REST URL and token","@upstash/vector TypeScript SDK or HTTP client","Pre-computed embeddings from external embedding model (OpenAI, Cohere, etc.)","Metadata structure defined for filtering (optional but recommended)","Upstash Prod Pack or Enterprise tier subscription","SAML identity provider (Okta, Azure AD, Google Workspace, etc.) for SSO","AWS account with PrivateLink support for private connectivity"],"failure_modes":["REST API only — no native Redis protocol support confirmed, limiting compatibility with standard Redis clients","Max 10,000 commands/second on standard plans; 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