{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"anthropic-console","slug":"anthropic-console","name":"Anthropic Console","type":"platform","url":"https://console.anthropic.com","page_url":"https://unfragile.ai/anthropic-console","categories":["llm-apis"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"anthropic-console__cap_0","uri":"capability://text.generation.language.browser.based.prompt.testing.and.iteration","name":"browser-based prompt testing and iteration","description":"The Workbench provides a browser-based IDE for testing Claude prompts without writing code, allowing developers to iterate on system prompts, user messages, and model parameters (temperature, max_tokens) in real-time with immediate response feedback. It abstracts away API authentication and HTTP request construction, enabling non-engineers to prototype prompt behavior before integration into applications.","intents":["test a new prompt variation without deploying code changes","compare Claude's responses across different system instructions","debug why a prompt isn't producing expected output format","share a working prompt configuration with team members before implementation"],"best_for":["prompt engineers optimizing Claude behavior before production deployment","solo developers prototyping LLM features without local development setup","non-technical stakeholders evaluating Claude's capabilities for specific use cases"],"limitations":["single-user testing only — no real-time collaborative editing mentioned","limited to browser environment — cannot test integration with local file systems or custom tools","no version control or prompt history tracking mentioned","evaluation metrics and automated testing framework specifics unknown"],"requires":["Anthropic Console account with valid API key","modern web browser (Chrome, Firefox, Safari, Edge)","internet connectivity to console.anthropic.com"],"input_types":["text prompts","system instructions","model parameters (temperature, max_tokens, top_p)"],"output_types":["text responses from Claude","token usage statistics","response timing metrics"],"categories":["text-generation-language","prompt-engineering"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_1","uri":"capability://tool.use.integration.api.key.lifecycle.management.with.rotation.and.revocation","name":"api key lifecycle management with rotation and revocation","description":"The Console provides a secure key management interface for generating, viewing, rotating, and revoking API keys used to authenticate requests to the Claude API. Keys are scoped to individual developers or applications and can be revoked immediately to prevent unauthorized access, with audit trails for compliance and security monitoring.","intents":["generate a new API key for a production application","rotate compromised or leaked API keys without downtime","revoke access for a developer who left the team","manage multiple API keys across different environments (dev, staging, prod)"],"best_for":["teams managing Claude API access across multiple developers and services","security-conscious organizations requiring key rotation policies","enterprises with compliance requirements for API credential management"],"limitations":["key rotation mechanism and grace period for old keys unknown","no built-in key expiration policies mentioned","audit logging specifics and retention period unknown","no mention of key scoping to specific models or rate limits"],"requires":["Anthropic Console account with admin or developer role","access to console.anthropic.com","secure storage mechanism for generated keys (developer responsibility)"],"input_types":["key generation request","key revocation request"],"output_types":["API key string (displayed once at generation)","key metadata (creation date, last used, status)"],"categories":["tool-use-integration","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_10","uri":"capability://tool.use.integration.multi.language.sdk.support.for.api.integration","name":"multi-language sdk support for api integration","description":"The Console provides native SDKs in 8 programming languages (Python, TypeScript, Go, Java, Ruby, PHP, C#) plus CLI/cURL support, allowing developers to integrate Claude API into applications regardless of tech stack. SDKs abstract authentication, request serialization, streaming, and error handling, reducing boilerplate and integration time.","intents":["integrate Claude API into existing Python, Node.js, Go, or Java applications","use Claude from command-line tools or scripts via CLI","reduce API integration boilerplate by using language-native SDKs","leverage IDE autocomplete and type safety for API calls"],"best_for":["polyglot teams using multiple programming languages","developers building integrations in less common languages (Go, Ruby, PHP, C#)","teams prioritizing developer experience and reduced integration time"],"limitations":["SDK feature parity across languages unknown (some may lag in new features)","SDK version management and deprecation policy unknown","async/await support and concurrency patterns vary by language","streaming implementation details and buffering behavior unknown"],"requires":["Python 3.9+, Node.js 18+, Go 1.19+, Java 11+, Ruby 2.7+, PHP 8.0+, or .NET 6.0+","Anthropic API key","SDK installation via package manager (pip, npm, go get, etc.)"],"input_types":["API requests (messages, tools, parameters)"],"output_types":["API responses (text, tool calls, streaming tokens)"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_11","uri":"capability://text.generation.language.streaming.response.delivery.for.real.time.token.output","name":"streaming response delivery for real-time token output","description":"The Console's Messages API supports streaming responses, where Claude's output is delivered as a stream of token events rather than a single complete response. Developers can display tokens to users in real-time as they are generated, improving perceived latency and UX. Streaming is implemented via Server-Sent Events (SSE) or SDK streaming abstractions.","intents":["display Claude's response to users in real-time as tokens are generated","reduce perceived latency by showing partial results immediately","implement chat interfaces with live token streaming","cancel long-running requests early if user closes connection"],"best_for":["web and mobile applications with real-time user interfaces","chat applications requiring low perceived latency","applications where early cancellation saves compute costs"],"limitations":["streaming latency and token buffering behavior unknown","maximum concurrent streams per account unknown","error handling and reconnection behavior for dropped streams unknown","token ordering and completeness guarantees unknown"],"requires":["Anthropic Console account with API access","Claude API SDK or REST API with streaming support","client-side handling of streaming events (SSE or SDK abstractions)","understanding of async/await or event-driven programming"],"input_types":["standard Messages API request with stream=true parameter"],"output_types":["stream of token events (content_block_start, content_block_delta, content_block_stop)","metadata events (message_start, message_stop, message_delta)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_12","uri":"capability://planning.reasoning.extended.thinking.and.reasoning.mode.for.complex.problem.solving","name":"extended thinking and reasoning mode for complex problem-solving","description":"The Console provides access to Claude's extended thinking capability (beta), which allows Claude to spend more computational effort on complex reasoning tasks before generating a response. Extended thinking is enabled via API parameter and returns both internal reasoning traces and final answers, useful for math, logic, and multi-step problem-solving.","intents":["solve complex math or logic problems requiring step-by-step reasoning","debug code by having Claude reason through logic before suggesting fixes","improve accuracy on tasks requiring careful analysis or planning","understand Claude's reasoning process for transparency and debugging"],"best_for":["applications solving complex analytical or mathematical problems","teams requiring explainability and reasoning transparency","use cases where accuracy is more important than latency"],"limitations":["extended thinking latency and cost overhead unknown","maximum reasoning token budget unknown","accuracy improvements vs. standard mode not quantified","beta status indicates feature may change or be discontinued","reasoning trace format and accessibility unknown"],"requires":["Anthropic Console account with API access","Claude API SDK or REST API with extended thinking support","understanding that extended thinking increases latency and token usage"],"input_types":["complex prompts requiring reasoning","extended_thinking parameter (budget_tokens, type)"],"output_types":["thinking blocks (internal reasoning traces)","text response (final answer)","token usage including thinking tokens"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_13","uri":"capability://search.retrieval.web.search.and.information.retrieval.integration","name":"web search and information retrieval integration","description":"The Console provides access to Claude's web search capability, a built-in tool that allows Claude to search the internet and retrieve current information during text generation. Web search is invoked automatically when Claude determines it's needed, or can be explicitly requested via tool use. Results are integrated into Claude's reasoning and response.","intents":["answer questions about current events or recent information not in training data","retrieve real-time data (stock prices, weather, news) for analysis","fact-check claims by searching for supporting evidence","build AI agents that can research topics autonomously"],"best_for":["applications requiring current information (news, finance, weather)","fact-checking and research tools","AI agents that need to autonomously gather information"],"limitations":["search result quality and freshness unknown","search latency and impact on response time unknown","no control over search queries or result filtering","no mention of search result caching or deduplication","search result attribution and source reliability unknown"],"requires":["Anthropic Console account with API access","Claude API SDK or REST API with web search tool support","internet connectivity (Anthropic infrastructure)"],"input_types":["prompts requesting current information","web search tool definition (if using custom tool)"],"output_types":["text response with search results integrated","tool calls to web search (if explicitly invoked)","search result metadata (URLs, snippets)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_14","uri":"capability://code.generation.editing.sandboxed.code.execution.for.safe.script.evaluation","name":"sandboxed code execution for safe script evaluation","description":"The Console provides access to Claude's code execution capability, a built-in tool that allows Claude to write and execute Python code in a sandboxed environment. Code is executed server-side with access to common libraries (numpy, pandas, matplotlib) and results are returned to Claude for analysis. Execution is isolated and cannot access external systems.","intents":["have Claude analyze data by writing and running Python scripts","generate visualizations (plots, charts) from data","verify mathematical calculations or algorithms","build AI agents that can execute code to solve problems"],"best_for":["data analysis and visualization applications","educational tools teaching programming or mathematics","AI agents solving computational problems"],"limitations":["available libraries and versions unknown","execution timeout and resource limits unknown","no file system access or external network calls","output size limits for plots and results unknown","no persistent state between code executions"],"requires":["Anthropic Console account with API access","Claude API SDK or REST API with code execution tool support","prompts requesting code execution or analysis"],"input_types":["data (arrays, tables, datasets)","prompts requesting code execution","Python code (generated by Claude)"],"output_types":["code execution results (stdout, plots, data)","error messages if code fails","matplotlib figures (PNG/SVG)"],"categories":["code-generation-editing","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_15","uri":"capability://data.processing.analysis.token.counting.api.for.cost.estimation.and.optimization","name":"token counting api for cost estimation and optimization","description":"The Console provides a token counting API that allows developers to estimate token usage before making API calls, enabling cost forecasting and prompt optimization. Developers can count tokens for messages, system prompts, or files without incurring API charges, and use counts to optimize prompts or adjust batch sizes.","intents":["estimate API costs before submitting requests","optimize prompts to reduce token usage and costs","forecast monthly API spending based on expected usage","implement cost-aware batching or request prioritization"],"best_for":["cost-sensitive applications requiring budget control","teams optimizing prompts for token efficiency","enterprises forecasting LLM infrastructure costs"],"limitations":["token counting accuracy vs. actual API usage unknown","support for all input types (images, files, tools) unknown","caching impact on token counts unknown","no mention of historical token count tracking or trends"],"requires":["Anthropic Console account with API access","Claude API SDK or REST API with token counting endpoint","understanding of Claude's tokenization scheme"],"input_types":["messages (system, user, assistant)","files or images (if supported)","tool definitions"],"output_types":["input token count","output token estimate (if available)","cost estimate"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_2","uri":"capability://data.processing.analysis.real.time.api.usage.monitoring.and.cost.tracking","name":"real-time api usage monitoring and cost tracking","description":"The Console displays real-time dashboards tracking API calls, token consumption (input/output), and estimated costs across all Claude API requests made with the account's API keys. Metrics are aggregated by model, time period, and optionally by API key or application, enabling developers to identify cost drivers and optimize token usage.","intents":["track daily/monthly API costs to stay within budget","identify which prompts or models are consuming the most tokens","monitor for unexpected spikes in API usage that might indicate a bug or abuse","compare token efficiency across different prompt variations"],"best_for":["developers building cost-sensitive LLM applications","teams managing shared Claude API budgets across multiple projects","enterprises requiring detailed cost allocation and chargeback"],"limitations":["pricing model and per-token costs not specified in provided content","real-time latency of usage metrics unknown (may have 5-15 minute delay)","no built-in cost forecasting or budget alerts mentioned","granularity of cost breakdown (by model, endpoint, user) unknown","no export or integration with accounting/billing systems mentioned"],"requires":["Anthropic Console account with API usage","at least one API call made to Claude API","access to console.anthropic.com dashboard"],"input_types":["API calls to Claude (tracked automatically)"],"output_types":["usage metrics (total calls, tokens, costs)","time-series graphs (daily/weekly/monthly trends)","breakdown by model, endpoint, or API key"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_3","uri":"capability://memory.knowledge.prompt.caching.configuration.and.optimization","name":"prompt caching configuration and optimization","description":"The Console allows developers to enable and configure prompt caching, which stores frequently-used system prompts, context, or file attachments in Anthropic's cache to reduce latency and token costs on subsequent requests with identical prefixes. Caching is configured per-request via API parameters and the Console provides visibility into cache hit rates and cost savings.","intents":["reduce token costs for applications that repeatedly process the same context or documents","speed up response latency for requests with large static context (e.g., codebase analysis, document Q&A)","configure cache TTL and eviction policies for different use cases","measure cache effectiveness and ROI of caching strategy"],"best_for":["applications processing large documents or codebases repeatedly (RAG systems, code analysis)","multi-turn conversations with consistent system prompts","cost-sensitive deployments where token savings justify caching overhead"],"limitations":["caching mechanism and cache invalidation strategy unknown","minimum cache size and TTL constraints unknown","cost savings percentage for cached tokens not specified","no mention of cache warming or preloading strategies","cache hit rate metrics and visibility into cache performance unknown"],"requires":["Anthropic Console account with API access","Claude API SDK or direct REST API support for cache_control parameter","understanding of which prompt sections are cacheable (static context)"],"input_types":["system prompts","file attachments (PDFs, documents)","static context blocks"],"output_types":["cache hit/miss indicators","token usage breakdown (cached vs. non-cached)","cost savings estimates"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_4","uri":"capability://text.generation.language.stateless.text.generation.via.messages.api","name":"stateless text generation via messages api","description":"The Console provides access to Claude's Messages API, a stateless REST endpoint that accepts a list of messages (system prompt + user/assistant message history) and returns a single completion. The API supports streaming responses, configurable sampling parameters (temperature, top_p, top_k), and max_tokens limits, with developers responsible for managing conversation state and history between requests.","intents":["generate text completions for single-turn prompts (summarization, translation, content generation)","build multi-turn conversational applications by manually managing message history","stream responses to users in real-time for better UX","control output randomness and diversity via temperature and sampling parameters"],"best_for":["developers building stateless LLM features (one-shot generation, batch processing)","applications where conversation state is managed externally (databases, session storage)","teams preferring explicit control over conversation history vs. managed state"],"limitations":["no built-in conversation state management — developers must implement history tracking","context window size per model unknown","rate limiting and quota structure not specified","no automatic retry or error recovery mechanisms mentioned","streaming implementation details and token buffering unknown"],"requires":["Anthropic Console account with valid API key","Python, TypeScript, Go, Java, Ruby, PHP, C#, or cURL/CLI","understanding of REST API authentication and HTTP requests"],"input_types":["text prompts","message arrays (system, user, assistant messages)","model parameters (temperature, max_tokens, top_p, top_k)"],"output_types":["text completions","streaming token events (if streaming enabled)","token usage metadata (input_tokens, output_tokens)"],"categories":["text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_5","uri":"capability://tool.use.integration.tool.use.and.function.calling.with.custom.tool.definitions","name":"tool use and function calling with custom tool definitions","description":"The Console enables developers to define custom tools (functions) that Claude can invoke during text generation. Tools are defined via JSON schemas specifying input parameters and descriptions, and Claude decides when to call tools based on the prompt. The API returns tool calls as structured data, and developers must implement the tool logic and return results back to Claude for continued reasoning.","intents":["enable Claude to call external APIs or databases (e.g., fetch weather, query database)","implement agentic workflows where Claude decides which tools to use","constrain Claude's outputs to structured function calls (e.g., for form filling or API integration)","enable parallel tool execution for efficiency (e.g., fetch multiple data sources simultaneously)"],"best_for":["developers building AI agents that interact with external systems","applications requiring structured outputs mapped to specific functions","teams implementing multi-step workflows where Claude orchestrates tool calls"],"limitations":["tool execution is synchronous — no built-in async/await or background job support","maximum number of parallel tool calls unknown","tool schema validation and error handling specifics unknown","no built-in tool result caching or memoization","tool timeout and retry behavior not specified"],"requires":["Anthropic Console account with API access","Claude API SDK or REST API support for tool definitions","implementation of tool logic in application code (Anthropic does not execute tools)","understanding of JSON schema for tool parameter definition"],"input_types":["tool definitions (JSON schema)","prompts requesting tool use","tool results (returned by application after execution)"],"output_types":["tool calls (structured data with tool name and parameters)","final text response after tool execution"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_6","uri":"capability://image.visual.vision.and.document.processing.with.image.and.pdf.analysis","name":"vision and document processing with image and pdf analysis","description":"The Console provides access to Claude's vision capabilities, allowing developers to pass images and PDF documents as inputs alongside text prompts. Claude analyzes visual content and returns text descriptions, answers questions about images, extracts text from PDFs, or performs document analysis. Vision is integrated into the Messages API via a multimodal input format.","intents":["extract text from scanned documents or PDFs (OCR alternative)","analyze images and describe their content","answer questions about visual content (e.g., 'what's in this screenshot?')","process multi-page documents for summarization or information extraction"],"best_for":["applications processing documents or images at scale (invoice processing, document analysis)","teams building document Q&A systems or visual search","developers needing OCR without external vision APIs"],"limitations":["supported image formats and maximum file sizes unknown","PDF page limits and processing speed unknown","image resolution requirements and quality thresholds unknown","no mention of batch processing for multiple documents","vision accuracy and limitations vs. specialized OCR tools not specified"],"requires":["Anthropic Console account with API access","Claude API SDK or REST API with vision support","image files (formats unknown) or PDF documents","understanding of multimodal message format"],"input_types":["images (format/size limits unknown)","PDF documents (page limits unknown)","text prompts describing analysis task"],"output_types":["text descriptions of visual content","extracted text from documents","structured data extracted from images"],"categories":["image-visual","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_7","uri":"capability://automation.workflow.batch.processing.api.for.asynchronous.high.volume.requests","name":"batch processing api for asynchronous high-volume requests","description":"The Console provides access to a Batch API for submitting large volumes of API requests asynchronously, with lower per-token costs than real-time requests. Requests are queued, processed in batches, and results are returned via a callback or polling mechanism. Batch processing is optimized for throughput over latency and is suitable for non-time-sensitive workloads.","intents":["process thousands of prompts overnight at lower cost (e.g., content generation, data labeling)","evaluate model performance across large datasets","run periodic batch jobs for summarization, translation, or analysis","reduce API costs for non-urgent processing by 50% or more"],"best_for":["teams processing large datasets or running periodic batch jobs","cost-sensitive applications where latency is not critical","enterprises running nightly evaluation or data processing pipelines"],"limitations":["batch processing latency and SLA unknown (likely hours, not minutes)","maximum batch size and request limits unknown","cost savings percentage vs. real-time API not specified","error handling and retry behavior for failed batch requests unknown","no mention of batch job monitoring or progress tracking"],"requires":["Anthropic Console account with API access","Batch API SDK or REST endpoint support","JSONL file format for batch requests","callback URL or polling mechanism for result retrieval"],"input_types":["JSONL file containing multiple API requests","standard Messages API request format"],"output_types":["JSONL file with results","batch job ID for status tracking","completion callback with results"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_8","uri":"capability://data.processing.analysis.structured.output.generation.with.json.schema.validation","name":"structured output generation with json schema validation","description":"The Console enables developers to request Claude to return responses in a specific JSON schema format, with Anthropic validating outputs against the schema before returning. This ensures Claude's responses conform to expected structure (e.g., for form filling, API integration, or data extraction) without requiring post-processing or retry logic.","intents":["extract structured data from unstructured text (e.g., parse emails into JSON)","generate API payloads or database records in exact format required","ensure Claude's outputs are always valid JSON matching a predefined schema","reduce post-processing and validation logic in application code"],"best_for":["applications requiring deterministic, structured outputs from Claude","data extraction and ETL pipelines where schema compliance is critical","teams building API integrations where output format must match downstream systems"],"limitations":["schema validation mechanism and error handling unknown","maximum schema complexity and nesting depth unknown","performance impact of schema validation vs. unstructured generation unknown","no mention of schema versioning or evolution strategies","support for complex types (unions, enums, recursive schemas) unknown"],"requires":["Anthropic Console account with API access","Claude API SDK or REST API with structured output support","JSON schema definition for expected output format","understanding of JSON schema syntax"],"input_types":["text prompts","JSON schema definition"],"output_types":["JSON response matching provided schema","validation errors if output cannot conform to schema"],"categories":["data-processing-analysis","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__cap_9","uri":"capability://planning.reasoning.evaluation.and.testing.framework.for.prompt.and.model.assessment","name":"evaluation and testing framework for prompt and model assessment","description":"The Console provides evaluation tools for systematically testing Claude's performance on datasets, comparing prompt variations, and measuring quality metrics. Developers can define test cases, run evaluations against multiple prompts or models, and view results in dashboards. Evaluation framework specifics (metrics, automation) are not detailed in provided content.","intents":["compare performance of different prompt variations on a test dataset","measure Claude's accuracy, latency, and cost across different configurations","automate regression testing to ensure prompt changes don't degrade quality","benchmark Claude against other models or baselines"],"best_for":["teams optimizing prompts before production deployment","enterprises requiring quantitative evaluation of LLM quality","developers building evaluation pipelines for continuous improvement"],"limitations":["evaluation metrics and supported quality measures unknown","automation and integration with CI/CD pipelines unknown","dataset size limits and evaluation throughput unknown","comparison methodology and statistical significance testing unknown","no mention of custom metric definition or scoring functions"],"requires":["Anthropic Console account with API access","test dataset with expected outputs or evaluation criteria","understanding of evaluation metrics and quality measures"],"input_types":["test cases (prompts with expected outputs)","evaluation criteria or metrics","prompt variations to compare"],"output_types":["evaluation results (accuracy, latency, cost)","comparison dashboards","recommendations for best-performing prompt"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"anthropic-console__headline","uri":"capability://tool.use.integration.claude.api.management.platform","name":"claude api management platform","description":"Anthropic Console is a developer platform for managing and integrating Claude AI models via APIs, featuring tools for prompt testing, usage monitoring, and API key management.","intents":["best Claude API platform","Claude API for model integration","best tools for AI model management","Claude API usage monitoring solutions","prompt testing tools for Claude API"],"best_for":["developers integrating AI models","teams managing AI APIs"],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":56,"verified":false,"data_access_risk":"high","permissions":["Anthropic Console account with valid API key","modern web browser (Chrome, Firefox, Safari, Edge)","internet connectivity to console.anthropic.com","Anthropic Console account with admin or developer role","access to console.anthropic.com","secure storage mechanism for generated keys (developer responsibility)","Python 3.9+, Node.js 18+, Go 1.19+, Java 11+, Ruby 2.7+, PHP 8.0+, or .NET 6.0+","Anthropic API key","SDK installation via package manager (pip, npm, go get, etc.)","Anthropic Console account with API access"],"failure_modes":["single-user testing only — no real-time collaborative editing mentioned","limited to browser environment — cannot test integration with local file systems or custom tools","no version control or prompt history tracking mentioned","evaluation metrics and automated testing framework specifics unknown","key rotation mechanism and grace period for old keys unknown","no built-in key expiration policies mentioned","audit logging specifics and retention period unknown","no mention of key scoping to specific models or rate limits","SDK feature parity across languages unknown (some may lag in new features)","SDK version management and deprecation policy unknown","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7,"quality":0.9,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.3,"quality":0.25,"ecosystem":0.15,"match_graph":0.25,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:19.836Z","last_scraped_at":null,"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=anthropic-console","compare_url":"https://unfragile.ai/compare?artifact=anthropic-console"}},"signature":"Zqr58vQCl9bte/igpJLvZsjNDbezQQgGAQsnuesFO0VrDXcPOqRd4EAOiTeDuH6+f2s2zkIjjy0kl4TfGXmsDw==","signedAt":"2026-06-21T07:41:52.798Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/anthropic-console","artifact":"https://unfragile.ai/anthropic-console","verify":"https://unfragile.ai/api/v1/verify?slug=anthropic-console","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"}}