{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-stripe","slug":"stripe","name":"Stripe","type":"agent","url":"https://github.com/stripe/agent-toolkit","page_url":"https://unfragile.ai/stripe","categories":["ai-agents"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-stripe__cap_0","uri":"capability://tool.use.integration.framework.agnostic.stripe.api.abstraction.with.multi.framework.adapters","name":"framework-agnostic stripe api abstraction with multi-framework adapters","description":"Provides a unified StripeAPI core class that wraps the official Stripe SDK and exposes a framework-agnostic interface, with specialized adapter layers (StripeAgentToolkit classes) that translate this core into framework-specific tool formats (LangChain tools, OpenAI functions, MCP resources, CrewAI tools, Vercel AI SDK). The architecture uses a layered pattern where the core handles all Stripe business logic and each framework integration layer only handles format translation, enabling single-source-of-truth maintenance across TypeScript and Python implementations.","intents":["I want to use Stripe APIs in my AI agent without rewriting integration code for each framework I try","I need to switch from LangChain to OpenAI function calling without refactoring my Stripe operations","I'm building agents in both TypeScript and Python and want consistent Stripe capabilities across languages"],"best_for":["AI agent developers building with LangChain, OpenAI, CrewAI, or MCP","teams standardizing on Stripe for payment infrastructure across multiple agent frameworks","developers needing to migrate agents between frameworks without rewriting payment logic"],"limitations":["Framework-specific features not exposed by the adapter layer require direct Stripe SDK usage","Latency overhead from abstraction layer adds ~50-100ms per operation vs direct SDK calls","Configuration must be duplicated if using multiple framework integrations simultaneously in same process"],"requires":["TypeScript 4.5+ or Python 3.8+","Official Stripe SDK (stripe package)","Stripe API key with appropriate permissions","Target framework installed (LangChain, OpenAI, etc.)"],"input_types":["Stripe API parameters (customer IDs, product IDs, subscription configs)","Framework-specific tool/function schemas"],"output_types":["Framework-native tool definitions (LangChain StructuredTool, OpenAI FunctionDefinition, MCP Tool)","Stripe API response objects (Customer, Subscription, Invoice, etc.)"],"categories":["tool-use-integration","framework-abstraction"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_1","uri":"capability://safety.moderation.configuration.based.permission.system.for.stripe.tool.access.control","name":"configuration-based permission system for stripe tool access control","description":"Implements a declarative permission model where developers specify which Stripe operations (customer management, payment creation, refund issuance, etc.) are available to agents via configuration objects. The system validates tool invocations against these permissions before executing Stripe API calls, preventing unauthorized operations. Configuration is passed at toolkit initialization and applies uniformly across all framework adapters, enabling fine-grained control over what payment operations an agent can perform without modifying framework-specific code.","intents":["I want to restrict my agent to only read customer data, not create charges or issue refunds","I need different permission sets for different agents (e.g., support agent vs billing agent)","I want to audit which Stripe operations my agent is allowed to perform"],"best_for":["teams deploying agents in production with security-sensitive payment operations","multi-tenant SaaS platforms where different customer agents need different Stripe permissions","compliance-focused organizations requiring fine-grained audit trails of agent capabilities"],"limitations":["Permissions are static at toolkit initialization — cannot be changed dynamically per request without reinitializing","No built-in audit logging of permission checks or denied operations — requires external monitoring","Permission granularity is at the tool level, not at the parameter level (e.g., cannot restrict refunds to specific amounts)"],"requires":["Configuration object passed to StripeAgentToolkit constructor","Understanding of available Stripe operations and their permission names","Framework integration already initialized"],"input_types":["Configuration object with permission flags/arrays"],"output_types":["Filtered tool list with only permitted operations exposed"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_10","uri":"capability://automation.workflow.paid.tools.system.with.checkout.integration.and.payment.gating","name":"paid tools system with checkout integration and payment gating","description":"Implements a payment gating system where certain Stripe operations (tools) can be restricted to paid customers, with automatic Stripe Checkout integration for payment collection. When an agent attempts to use a paid tool, the system checks customer payment status and initiates a Checkout session if needed. This enables monetization of specific agent capabilities through Stripe Checkout without requiring custom payment logic.","intents":["I want to charge customers to use certain premium agent capabilities","I need to gate specific Stripe operations behind payment using Stripe Checkout","I'm building a freemium agent service and want to monetize premium features"],"best_for":["SaaS teams monetizing agent capabilities through premium features","freemium AI services with paid tiers","teams using Stripe Checkout for payment collection"],"limitations":["Checkout session creation adds ~500ms-1s latency before tool access is granted","Requires customer to complete Checkout flow — cannot be automated","Payment status must be checked on each tool invocation — adds latency and API calls"],"requires":["Stripe Checkout enabled","Product and price configuration in Stripe","Customer payment status tracking (requires external state store)"],"input_types":["Tool invocation requests with customer ID","Paid tool configuration"],"output_types":["Checkout session URLs","Payment status responses","Tool access grants/denials"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_11","uri":"capability://tool.use.integration.comprehensive.stripe.api.coverage.with.customer.subscription.invoice.and.dispute.management","name":"comprehensive stripe api coverage with customer, subscription, invoice, and dispute management","description":"Provides complete abstractions for core Stripe operations including customer CRUD (create, read, update, list), subscription lifecycle management (create, update, cancel, retrieve), invoice operations (create, send, pay, void), dispute handling (retrieve, respond, close), refund processing, balance retrieval, and payment link generation. Each operation is wrapped with proper error handling, parameter validation, and response transformation, enabling agents to perform full payment and billing workflows without direct Stripe SDK knowledge.","intents":["I want my agent to manage the complete customer lifecycle in Stripe (create, update, retrieve)","I need agents to handle subscription operations (create, upgrade, downgrade, cancel)","I want agents to manage invoices, disputes, and refunds autonomously","I need agents to retrieve account balance and financial summaries"],"best_for":["AI-powered customer support and billing automation","autonomous billing agents handling subscription management","teams automating dispute resolution and refund processing","SaaS platforms with agent-driven financial operations"],"limitations":["Some Stripe operations require specific account configurations (e.g., Stripe Connect for connected accounts)","Refund operations are irreversible — no rollback capability","Dispute operations are limited to read and respond actions — cannot be fully automated","Invoice operations depend on existing customer and subscription setup"],"requires":["Stripe API key with appropriate permissions for each operation","Stripe account with required features enabled (subscriptions, invoicing, etc.)","Customer and product data already configured in Stripe"],"input_types":["Customer IDs, product IDs, subscription configs, invoice data, dispute IDs","Refund amounts, payment link parameters"],"output_types":["Customer objects (with ID, email, metadata)","Subscription objects (with status, current period, items)","Invoice objects (with amount, status, PDF URL)","Dispute objects (with status, evidence, resolution)","Refund objects (with amount, status, reason)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_12","uri":"capability://search.retrieval.ai.powered.stripe.documentation.search.with.semantic.retrieval","name":"ai-powered stripe documentation search with semantic retrieval","description":"Integrates semantic search over Stripe's official documentation, allowing agents to retrieve relevant documentation snippets when they need to understand Stripe API behavior or troubleshoot issues. The system uses embeddings-based retrieval to find documentation sections matching agent queries, enabling agents to self-serve documentation lookups without requiring hardcoded knowledge. This augments agent reasoning by providing real-time access to authoritative Stripe documentation.","intents":["I want my agent to look up Stripe documentation when it encounters an unfamiliar operation","I need agents to understand Stripe API constraints and requirements without hardcoding them","I want agents to troubleshoot Stripe errors by retrieving relevant documentation"],"best_for":["agents handling complex Stripe workflows that require documentation reference","teams wanting agents to be self-sufficient in understanding Stripe API behavior","support agents that need to reference Stripe documentation for customer issues"],"limitations":["Documentation search latency adds ~200-500ms per query for embedding and retrieval","Requires maintaining embeddings index of Stripe documentation — must be updated when Stripe docs change","Semantic search may return irrelevant results for ambiguous queries","Documentation retrieval increases LLM context size, potentially increasing token costs"],"requires":["Embeddings model (OpenAI, local, etc.)","Vector database or in-memory embeddings index","Stripe documentation corpus (pre-indexed)"],"input_types":["Natural language queries about Stripe operations or behavior"],"output_types":["Relevant documentation snippets with source URLs","Structured documentation metadata"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_13","uri":"capability://automation.workflow.evaluation.framework.for.testing.agent.stripe.workflows.with.synthetic.scenarios","name":"evaluation framework for testing agent stripe workflows with synthetic scenarios","description":"Provides a testing and evaluation framework that enables developers to test agent Stripe workflows against synthetic scenarios without hitting production Stripe APIs. The framework includes mock Stripe responses, scenario generators for common billing workflows (subscription creation, invoice payment, refund processing), and assertion utilities for validating agent behavior. Enables safe testing of complex payment workflows and agent decision-making without financial risk.","intents":["I want to test my agent's Stripe workflow without using real Stripe API calls","I need to validate that my agent handles subscription cancellations correctly","I want to test edge cases like failed payments or disputed charges without production impact"],"best_for":["development teams testing agent Stripe integrations before production","teams validating agent behavior in complex billing scenarios","CI/CD pipelines requiring automated testing of Stripe workflows"],"limitations":["Mock responses may not capture all Stripe API edge cases or error conditions","Synthetic scenarios must be manually defined — no automatic scenario generation","Testing is limited to agent logic — cannot test actual Stripe API behavior"],"requires":["Test framework setup (Jest, pytest, etc.)","Evaluation framework configuration","Scenario definitions for workflows to test"],"input_types":["Agent code, Stripe operation definitions, test scenarios"],"output_types":["Test results, assertion failures, coverage reports"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_2","uri":"capability://tool.use.integration.multi.language.stripe.operation.coverage.with.typescript.and.python.parity","name":"multi-language stripe operation coverage with typescript and python parity","description":"Provides parallel TypeScript and Python implementations of the Stripe Agent Toolkit with feature parity, allowing developers to use the same Stripe operations (customer management, subscriptions, invoices, disputes, refunds, balance retrieval) in both languages. Both implementations wrap the official Stripe SDKs (stripe-node and stripe-python) and expose identical tool interfaces through their respective framework adapters, enabling teams to build agents in their preferred language without sacrificing capability coverage.","intents":["I want to build Stripe agents in Python but my team also uses TypeScript — I need the same capabilities in both","I'm migrating a TypeScript agent to Python and need to ensure all Stripe operations are available","I need to support both Node.js and Python runtimes for different deployment environments"],"best_for":["polyglot teams building agents across TypeScript and Python","organizations with existing Python infrastructure (Django, FastAPI) and new TypeScript services","developers deploying agents to both serverless (Node.js) and traditional (Python) environments"],"limitations":["Feature parity requires maintaining two separate codebases — new Stripe API coverage must be implemented in both languages","Python implementation may lag TypeScript releases if development prioritizes one language","Language-specific dependencies (stripe-node vs stripe-python) have different version schedules and may diverge"],"requires":["TypeScript 4.5+ (for TypeScript implementation) or Python 3.8+ (for Python implementation)","Node.js 16+ (TypeScript) or Python runtime (Python)","Official Stripe SDK for target language installed"],"input_types":["Stripe API parameters (customer IDs, product configs, subscription data)"],"output_types":["Stripe API response objects (Customer, Subscription, Invoice, etc.)","Framework-native tool definitions"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_3","uri":"capability://tool.use.integration.model.context.protocol.mcp.server.integration.for.stripe.operations","name":"model context protocol (mcp) server integration for stripe operations","description":"Exposes Stripe operations as MCP resources and tools through a dedicated MCP server implementation, allowing any MCP-compatible client (Claude, custom agents, IDE plugins) to invoke Stripe operations via the standardized MCP protocol. The toolkit implements MCP tool schemas for all Stripe operations and handles MCP request/response serialization, enabling Stripe integration with any tool that speaks MCP without requiring framework-specific code.","intents":["I want to use Stripe with Claude through MCP without building a custom integration","I need my IDE or development tools to access Stripe APIs through MCP","I'm building an MCP-native agent ecosystem and need Stripe as a standard resource"],"best_for":["Claude users and Anthropic-focused teams integrating Stripe","developers building MCP-native agent ecosystems","teams standardizing on MCP as their agent-tool communication protocol"],"limitations":["MCP protocol overhead adds latency compared to direct SDK calls (~100-200ms per operation)","MCP server must be running separately — adds deployment complexity vs embedded framework integrations","Limited to MCP-compatible clients; cannot be used with frameworks that don't support MCP"],"requires":["MCP server runtime (Node.js or Python)","MCP client that supports Stripe server (Claude, custom MCP client)","Stripe API key configured in MCP server environment"],"input_types":["MCP tool call requests with Stripe operation parameters"],"output_types":["MCP tool result responses with Stripe API data","MCP resource definitions for Stripe operations"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_4","uri":"capability://tool.use.integration.openai.function.calling.integration.with.native.schema.translation","name":"openai function calling integration with native schema translation","description":"Translates Stripe operations into OpenAI-compatible function definitions with proper JSON schema generation, parameter validation, and response handling. The toolkit automatically converts Stripe API parameters into OpenAI function schemas, handles function call invocations from OpenAI models, executes the corresponding Stripe operations, and returns results in OpenAI-compatible format. This enables seamless integration with OpenAI's function calling API without manual schema definition.","intents":["I want to use GPT-4 with function calling to manage my Stripe customers and subscriptions","I need to automatically generate OpenAI function schemas from Stripe operations without writing JSON schemas manually","I'm building a GPT-powered agent that needs to create invoices and manage refunds"],"best_for":["OpenAI API users building agents with function calling","teams using GPT-4 or GPT-3.5-turbo with structured tool access","developers wanting to avoid manual OpenAI function schema definition"],"limitations":["Requires OpenAI API key and incurs OpenAI API costs per function call","Function calling latency depends on OpenAI model response time (~500ms-2s typical)","Limited to OpenAI models that support function calling (GPT-4, GPT-3.5-turbo, etc.); not available for older models"],"requires":["OpenAI API key with function calling enabled","OpenAI SDK (openai package)","GPT-4 or GPT-3.5-turbo model access"],"input_types":["OpenAI function call requests with Stripe operation parameters"],"output_types":["OpenAI function definitions (JSON schema)","Function call results in OpenAI-compatible format"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_5","uri":"capability://tool.use.integration.langchain.structured.tool.integration.with.chat.agent.support","name":"langchain structured tool integration with chat agent support","description":"Converts Stripe operations into LangChain StructuredTool objects with proper input/output schemas, enabling use with LangChain's agent framework and chat-based agents. The toolkit generates LangChain tool definitions from the core StripeAPI class, handles tool invocation through LangChain's tool calling mechanism, and integrates with LangChain's agent loop for multi-step Stripe workflows. Tools are fully compatible with LangChain's structured chat agents and ReAct patterns.","intents":["I want to build a LangChain agent that can manage Stripe customers and subscriptions","I need to use Stripe operations in a LangChain chat agent with structured tool calling","I'm building a multi-step workflow in LangChain that involves Stripe operations"],"best_for":["LangChain users building agents with structured tools","teams using LangChain's agent framework (AgentExecutor, ReAct)","developers building chat-based agents with Stripe capabilities"],"limitations":["Requires LangChain 0.1+ — older versions may have incompatible tool interfaces","Tool execution latency includes LangChain agent loop overhead (~100-300ms per step)","Limited to LangChain's tool calling patterns — custom tool behavior requires extending LangChain classes"],"requires":["LangChain 0.1+","LangChain community package (langchain-community)","LLM integration for agent (OpenAI, Anthropic, etc.)"],"input_types":["LangChain tool input objects with Stripe operation parameters"],"output_types":["LangChain StructuredTool definitions","Tool execution results as strings or structured objects"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_6","uri":"capability://tool.use.integration.crewai.multi.agent.workflow.integration.with.task.decomposition","name":"crewai multi-agent workflow integration with task decomposition","description":"Provides CrewAI-compatible tool definitions that enable multiple specialized agents to collaborate on Stripe-related tasks through CrewAI's task and role system. The toolkit exposes Stripe operations as CrewAI tools that can be assigned to different agents (e.g., a billing agent, a customer support agent), enabling task decomposition where complex Stripe workflows are broken into subtasks executed by specialized agents. Integrates with CrewAI's memory and collaboration patterns.","intents":["I want to build a multi-agent system where different agents handle different Stripe responsibilities","I need to decompose a complex billing workflow into tasks for specialized CrewAI agents","I'm using CrewAI and want agents to collaborate on customer management and subscription tasks"],"best_for":["CrewAI users building multi-agent systems","teams decomposing complex billing workflows across specialized agents","developers building agent teams with role-based Stripe responsibilities"],"limitations":["Requires CrewAI framework — not compatible with other multi-agent frameworks","Agent coordination overhead adds latency for multi-step workflows (~500ms-2s per task handoff)","Task decomposition and agent assignment must be manually defined — no automatic workflow generation"],"requires":["CrewAI framework installed","Python 3.8+","LLM integration for agent reasoning (OpenAI, Anthropic, etc.)"],"input_types":["CrewAI task definitions with Stripe operation parameters"],"output_types":["CrewAI tool definitions","Task execution results from specialized agents"],"categories":["tool-use-integration","planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_7","uri":"capability://tool.use.integration.vercel.ai.sdk.integration.with.token.usage.middleware","name":"vercel ai sdk integration with token usage middleware","description":"Integrates Stripe operations with Vercel's AI SDK through its tool calling interface, including built-in token usage tracking middleware that measures LLM token consumption for each Stripe operation invocation. The toolkit provides Vercel AI-compatible tool definitions and automatically tracks token metrics, enabling cost analysis and usage monitoring for Stripe-integrated AI applications. Middleware transparently captures token data without requiring application-level instrumentation.","intents":["I'm using Vercel AI SDK and want to add Stripe capabilities with automatic token tracking","I need to monitor LLM token usage for Stripe operations in my Vercel AI application","I want to understand the cost of AI-driven Stripe operations in my application"],"best_for":["Vercel AI SDK users building Stripe-integrated applications","teams needing token usage visibility for cost optimization","developers building production AI applications with billing operations"],"limitations":["Token tracking overhead adds ~10-20ms per operation for middleware processing","Requires Vercel AI SDK — not compatible with other AI frameworks","Token metrics are approximate and depend on LLM provider accuracy"],"requires":["Vercel AI SDK (@vercel/ai)","TypeScript 4.5+","LLM integration with token counting support"],"input_types":["Vercel AI tool call requests with Stripe parameters"],"output_types":["Vercel AI tool definitions","Token usage metrics (prompt tokens, completion tokens, total cost)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_8","uri":"capability://tool.use.integration.cloudflare.workers.oauth.integration.with.connected.accounts.support","name":"cloudflare workers oauth integration with connected accounts support","description":"Enables Stripe operations to work within Cloudflare Workers environments with built-in OAuth support for Stripe Connect and connected accounts. The toolkit handles OAuth token management, connected account context passing, and Stripe API calls scoped to specific connected accounts. This allows Stripe operations to be executed in serverless Cloudflare Workers with proper authentication and account isolation for multi-tenant scenarios.","intents":["I'm running agents on Cloudflare Workers and need to access Stripe with OAuth authentication","I want to support Stripe Connect with multiple connected accounts in a Cloudflare Workers environment","I need to isolate Stripe operations per connected account in a serverless architecture"],"best_for":["Cloudflare Workers developers building Stripe-integrated applications","teams using Stripe Connect with multiple connected accounts","serverless-first architectures requiring Stripe integration"],"limitations":["Cloudflare Workers have strict execution time limits (~50ms CPU time) — complex Stripe operations may timeout","OAuth token refresh requires external storage (KV, Durable Objects) — adds latency and complexity","Connected account context must be passed explicitly — no automatic account detection"],"requires":["Cloudflare Workers environment","Stripe OAuth credentials (client ID, client secret)","Cloudflare KV or Durable Objects for token storage","TypeScript 4.5+"],"input_types":["OAuth tokens or connected account IDs","Stripe operation parameters"],"output_types":["Stripe API responses scoped to connected account","OAuth token refresh responses"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-stripe__cap_9","uri":"capability://automation.workflow.usage.based.billing.with.meter.events.and.metering.api.integration","name":"usage-based billing with meter events and metering api integration","description":"Provides abstractions for Stripe's usage-based billing model through meter events, enabling agents to report consumption metrics that trigger billing calculations. The toolkit wraps Stripe's Metering API, allowing agents to emit meter events (e.g., API calls made, tokens consumed, storage used) that Stripe aggregates and uses to calculate usage-based charges. Supports event batching, timestamp handling, and meter configuration management.","intents":["I want to charge customers based on their actual usage of my AI agent service","I need to report meter events to Stripe as my agent consumes resources","I'm building a usage-based SaaS with Stripe and need to integrate meter events from my agents"],"best_for":["SaaS teams implementing usage-based billing models","AI service providers charging by consumption (tokens, API calls, etc.)","teams using Stripe's Metering API for dynamic pricing"],"limitations":["Meter events are eventually consistent — billing calculations may lag actual usage by minutes to hours","Requires Stripe Billing with Metering API enabled — not available on all Stripe plans","Event batching adds latency (typically 1-5 minutes) before events are reflected in billing"],"requires":["Stripe Billing with Metering API enabled","Meter configuration in Stripe dashboard","Stripe API key with billing permissions"],"input_types":["Meter event data (customer ID, meter name, value, timestamp)"],"output_types":["Meter event submission confirmations","Billing calculation results"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["TypeScript 4.5+ or Python 3.8+","Official Stripe SDK (stripe package)","Stripe API key with appropriate permissions","Target framework installed (LangChain, OpenAI, etc.)","Configuration object passed to StripeAgentToolkit constructor","Understanding of available Stripe operations and their permission names","Framework integration already initialized","Stripe Checkout enabled","Product and price configuration in Stripe","Customer payment status tracking (requires external state store)"],"failure_modes":["Framework-specific features not exposed by the adapter layer require direct Stripe SDK usage","Latency overhead from abstraction layer adds ~50-100ms per operation vs direct SDK calls","Configuration must be duplicated if using multiple framework integrations simultaneously in same process","Permissions are static at toolkit initialization — cannot be changed dynamically per request without reinitializing","No built-in audit logging of permission checks or denied operations — requires external monitoring","Permission granularity is at the tool level, not at the parameter level (e.g., cannot restrict refunds to specific amounts)","Checkout session creation adds ~500ms-1s latency before tool access is granted","Requires customer to complete Checkout flow — cannot be automated","Payment status must be checked on each tool invocation — adds latency and API calls","Some Stripe operations require specific account configurations (e.g., Stripe Connect for connected accounts)","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.35,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.049Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=stripe","compare_url":"https://unfragile.ai/compare?artifact=stripe"}},"signature":"onlpwiPbbbsuRhCm+zHhHXaOOsqnnS/XRoid3+759hE+gJm/W7llErRDHYmBKtVZWfioTpF9fxr2IpyMr8/ADg==","signedAt":"2026-06-22T10:39:06.305Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/stripe","artifact":"https://unfragile.ai/stripe","verify":"https://unfragile.ai/api/v1/verify?slug=stripe","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"}}