{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_cody","slug":"cody","name":"Cody","type":"agent","url":"https://meetcody.ai","page_url":"https://unfragile.ai/cody","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_cody__cap_0","uri":"capability://memory.knowledge.knowledge.base.augmented.question.answering.with.source.attribution","name":"knowledge-base-augmented question answering with source attribution","description":"Cody implements a retrieval-augmented generation (RAG) pipeline that accepts user queries, searches an indexed knowledge base of uploaded documents and crawled websites, retrieves the top 10 most relevant documents using semantic similarity, and generates contextual answers with inline source citations. The system maintains conversation history to provide context-aware responses across multiple turns within a session, enabling follow-up questions and clarifications without re-specifying domain context.","intents":["I want to answer employee questions about company policies without manually searching documentation","I need to provide consistent, sourced answers to recurring support questions across my team","I want to create a chatbot that cites where its answers come from so users can verify information","I need to handle multi-turn conversations where the assistant remembers what we discussed earlier"],"best_for":["HR and recruiting teams managing onboarding and policy questions","Support teams handling repetitive troubleshooting queries","Mid-sized companies (50-500 employees) with centralized knowledge repositories","Organizations seeking to reduce time spent on knowledge lookup tasks"],"limitations":["Document retrieval limited by tier: Basic (1,000 docs), Premium (10,000 docs), Advanced (25,000 docs) — organizations with larger knowledge bases must partition content across multiple Cody instances","Conversation history retained only for 14-90 days depending on tier; no persistent cross-session memory or learning","No real-time web search capability — only searches pre-indexed knowledge base; cannot answer questions about current events or external information","Retrieval mechanism uses unspecified semantic similarity algorithm; no control over ranking, weighting, or relevance tuning","Source citations provided but no confidence scoring or uncertainty quantification — users cannot distinguish high-confidence from speculative answers"],"requires":["Knowledge base content (documents, websites, or both) uploaded or crawled before queries can be answered","Active Cody subscription (free tier with 100 credits/month available)","Web browser access to meetcody.ai interface or embedded widget","For API usage: API key from Cody dashboard (available on all tiers)"],"input_types":["natural language text queries","PDF documents (for knowledge base)","website URLs (for crawling)","plain text documents"],"output_types":["natural language text responses","source document citations with links","conversation history transcripts"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_1","uri":"capability://data.processing.analysis.multi.source.knowledge.base.ingestion.with.website.crawling","name":"multi-source knowledge base ingestion with website crawling","description":"Cody supports three knowledge base input methods: direct document upload (PDFs, text files), automated website crawling (recurring crawls of specified domains), and API-based content ingestion. The system indexes uploaded content and crawled pages into a searchable knowledge base, with tier-dependent limits on document count and website crawl depth. Website crawling can be configured to run on a recurring schedule, enabling knowledge bases to stay synchronized with updated documentation.","intents":["I want to upload my company's policy documents and have them automatically searchable by employees","I need to keep my knowledge base in sync with my documentation website without manual re-uploads","I want to ingest content from multiple sources (internal docs, public websites, support articles) into a single searchable index","I need to programmatically add content to Cody's knowledge base via API integration"],"best_for":["Organizations with centralized documentation websites (Notion, Confluence, custom sites)","Support teams managing multiple content sources (help articles, FAQs, product docs)","Companies with frequently updated policies or procedures that need real-time reflection in the chatbot","Teams without dedicated data engineering resources to build custom ETL pipelines"],"limitations":["Website crawling limited by tier: Premium (10,000 pages, 3 websites recurring), Advanced (25,000 pages, 9 websites recurring); Basic tier has no website crawler","No control over crawl depth, URL filtering, or content extraction strategy — crawler behavior is opaque and not customizable","Document limits are hard caps; exceeding tier limits requires upgrading or deleting existing content","No incremental crawling or change detection — full recrawls may be inefficient for large sites with minimal updates","API documentation is not publicly available; API capabilities and rate limits are undocumented"],"requires":["For document upload: PDF or text file format; file size limits not specified","For website crawling: publicly accessible website URLs; no authentication support for private sites documented","For API ingestion: API key from Cody dashboard; endpoint and schema documentation not provided","Active Cody subscription matching desired tier (document/page limits)"],"input_types":["PDF documents","plain text files","website URLs (for crawling)","structured data via API (format unspecified)"],"output_types":["indexed knowledge base","searchable document catalog","crawl status and logs (inferred)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_10","uri":"capability://planning.reasoning.brainstorming.and.ideation.with.conversational.iteration","name":"brainstorming and ideation with conversational iteration","description":"Cody supports brainstorming and ideation workflows by maintaining conversation context across multiple turns, enabling users to iteratively refine ideas and explore variations. The system can generate multiple options, provide feedback on ideas, and suggest improvements based on organizational context from the knowledge base. Users can ask follow-up questions, request alternatives, or pivot to new directions without losing context.","intents":["I want to brainstorm product ideas or features with AI assistance","I need to explore multiple approaches to a problem and compare them","I want to get feedback on my ideas before presenting to stakeholders","I need to generate variations or alternatives to a concept"],"best_for":["Product and design teams exploring new ideas","Strategy teams evaluating multiple approaches","Creative teams seeking inspiration and alternatives","Teams without access to external consultants or brainstorming facilitators"],"limitations":["Brainstorming quality depends on underlying LLM model; GPT-4 Mini may produce less creative or nuanced ideas than GPT-4","No structured brainstorming methodology documented; Cody does not guide users through formal ideation frameworks (SCAMPER, Six Thinking Hats, etc.)","No idea evaluation or scoring mechanism; Cody cannot rank ideas by feasibility, impact, or other criteria","No collaboration features for group brainstorming; only single-user conversations supported","Ideas are not persisted beyond conversation retention period; no way to archive or revisit past brainstorming sessions","No integration with project management or decision-tracking tools; ideas cannot be directly converted to tasks or decisions"],"requires":["Active Cody subscription with available credits","Clear problem statement or topic for brainstorming","Knowledge base context (optional but recommended for domain-specific ideas)"],"input_types":["problem statement or topic","constraints or requirements","feedback or refinement requests"],"output_types":["generated ideas or concepts","variations or alternatives","feedback or suggestions","conversation history"],"categories":["planning-reasoning","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_11","uri":"capability://search.retrieval.technical.troubleshooting.with.documentation.grounded.solutions","name":"technical troubleshooting with documentation-grounded solutions","description":"Cody can assist with technical troubleshooting by searching support documentation, knowledge base articles, and FAQs to provide step-by-step solutions to common problems. The system retrieves relevant troubleshooting guides and error documentation, synthesizes solutions, and provides source citations so users can verify and follow detailed instructions. This capability is particularly useful for support teams handling repetitive technical issues.","intents":["I want to provide customers with troubleshooting steps without manually searching documentation","I need to reduce support ticket volume by enabling self-service technical troubleshooting","I want to ensure troubleshooting advice is consistent and based on official documentation","I need to handle common technical issues at scale without hiring more support staff"],"best_for":["Support teams managing high-volume technical support requests","SaaS companies with extensive product documentation","Organizations with complex products requiring detailed troubleshooting","Teams seeking to reduce support costs while maintaining quality"],"limitations":["Troubleshooting quality depends on documentation completeness; gaps in knowledge base will result in incomplete solutions","Cannot diagnose issues requiring real-time system access or log analysis; limited to documented procedures","No integration with ticketing systems or customer data; cannot access customer-specific information to personalize troubleshooting","Cannot execute commands or access customer systems; all troubleshooting must be manual steps followed by the user","No escalation mechanism documented; cannot automatically route complex issues to human support","Troubleshooting advice may become outdated if knowledge base is not regularly updated"],"requires":["Active Cody subscription","Comprehensive support documentation and troubleshooting guides in knowledge base","Knowledge base regularly updated to reflect current product versions and known issues"],"input_types":["error messages or problem descriptions","product version or configuration information","steps already attempted"],"output_types":["step-by-step troubleshooting guides","source citations to documentation","alternative solutions or workarounds"],"categories":["search-retrieval","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_2","uri":"capability://tool.use.integration.multi.model.llm.backend.selection.with.credit.based.consumption","name":"multi-model llm backend selection with credit-based consumption","description":"Cody abstracts multiple underlying language models (GPT-4 Mini, GPT-4, Claude 3.5 Sonnet) behind a unified interface, allowing users to select which model powers their queries. Each model consumes a different number of credits per query (GPT-4 Mini: 1 credit, GPT-4: 10 credits, Claude: unspecified), with monthly credit allowances varying by tier (Basic: 2,500/month, Premium: 10,000/month, Advanced: 25,000/month). Users can switch models per-query or set a default, enabling cost-performance tradeoffs without changing application code.","intents":["I want to use cheaper models (GPT-4 Mini) for simple queries and reserve expensive models (GPT-4) for complex reasoning tasks","I need to control my monthly AI costs by selecting appropriate models based on query complexity","I want to experiment with different LLM providers (OpenAI vs Anthropic) without rebuilding my chatbot","I need to understand how many queries my monthly credit budget will support"],"best_for":["Cost-conscious teams needing to optimize LLM spending across variable query complexity","Organizations wanting to compare model quality without infrastructure changes","Mid-market companies with predictable monthly query volumes (100-10,000 queries/month)","Teams without ML expertise who want abstraction over model selection details"],"limitations":["No overage pricing documented — behavior when monthly credits are exhausted is undefined (likely service degradation or blocking)","Credit costs for Claude 3.5 Sonnet are not published; only GPT-4 Mini (1 credit) and GPT-4 (10 credits) are specified","No per-query cost estimation or budget alerts — users cannot predict costs before submitting queries","Model selection is per-query, not per-conversation; no way to set different models for different conversation types or users","No access to fine-tuned models or custom model deployments; only pre-configured models available","Pricing page references non-existent models (GPT-5 Mini, GPT 5) suggesting documentation is outdated"],"requires":["Active Cody subscription with available monthly credits","Model availability varies by tier: GPT-4 Mini on Basic+, GPT-4 and Claude on Premium+","No API key or external model configuration required; models are managed by Cody"],"input_types":["model selection parameter (GPT-4 Mini, GPT-4, Claude 3.5 Sonnet)","natural language query"],"output_types":["LLM-generated response","credit consumption metadata (inferred)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_3","uri":"capability://tool.use.integration.embeddable.widget.deployment.with.link.sharing.and.popup.modes","name":"embeddable widget deployment with link sharing and popup modes","description":"Cody can be deployed as an embeddable web widget on external websites, shared via direct links, or displayed as a popup modal. The widget maintains the same knowledge base and conversation context as the web interface, enabling organizations to expose their AI assistant to customers, employees, or partners without requiring them to visit a separate domain. Widget configuration (appearance, positioning, behavior) is managed through the Cody dashboard.","intents":["I want to add a chatbot to my website without building custom frontend code","I need to share my knowledge base with customers or partners via a simple link","I want to display a help widget in the corner of my web application","I need to embed the same AI assistant across multiple websites or applications"],"best_for":["SaaS companies adding customer support chatbots to their product","Websites seeking to reduce support ticket volume with self-service AI","Organizations distributing knowledge bases to external stakeholders without SSO","Teams without frontend engineering resources to build custom chatbot UIs"],"limitations":["Widget customization options are not documented; unclear what styling, branding, or behavioral controls are available","No authentication or access control for shared links — anyone with a link can access the knowledge base (privacy risk for sensitive content)","Widget behavior on mobile devices is not specified; responsiveness and touch interaction are unknown","No analytics or usage tracking documented for embedded widgets; cannot measure engagement or identify popular queries","Embedding requires adding JavaScript to external websites; may conflict with Content Security Policy (CSP) headers or other security controls","No A/B testing or variant support for widget configuration"],"requires":["Active Cody subscription","Website or application where widget will be embedded","For embedded widget: ability to add JavaScript code to website (requires developer access)","For link sharing: no technical requirements; link can be shared via email, chat, or documentation"],"input_types":["widget configuration (appearance, positioning, behavior)","knowledge base content (inherited from main Cody instance)"],"output_types":["embeddable JavaScript widget","shareable link","conversation transcripts"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_4","uri":"capability://automation.workflow.role.specific.workflow.templates.for.hr.and.recruiting","name":"role-specific workflow templates for hr and recruiting","description":"Cody includes pre-built workflow templates optimized for HR functions such as employee onboarding, candidate screening, and policy question answering. These templates provide standardized prompts, knowledge base structures, and conversation flows that reduce setup time and ensure consistent responses across HR processes. Templates can be customized with company-specific policies, job descriptions, and evaluation criteria.","intents":["I want to automate repetitive HR questions (benefits, PTO, policies) without building custom workflows","I need to standardize candidate screening questions and evaluation criteria across recruiters","I want to reduce onboarding time by providing new hires with instant answers to common questions","I need to ensure HR responses are consistent and compliant with company policies"],"best_for":["HR teams in mid-sized companies (50-500 employees) with high question volume","Recruiting teams managing high-volume hiring campaigns","Organizations with standardized HR processes and policies","Companies seeking to reduce HR team workload on repetitive tasks"],"limitations":["Template customization options are not documented; unclear how deeply workflows can be modified","No workflow versioning or audit trail documented; cannot track changes to templates over time","Templates are HR-specific; no templates for other business functions (sales, engineering, finance)","No integration with HR systems (ATS, HRIS, payroll) documented; templates operate on knowledge base only","Candidate screening templates cannot access external data sources (resume databases, background check APIs)","No compliance validation for HR workflows; organizations must manually ensure GDPR, EEOC, or other regulatory compliance"],"requires":["Active Cody subscription","Company policies, job descriptions, and evaluation criteria to populate templates","HR team member to customize templates with company-specific information"],"input_types":["company policies and procedures","job descriptions","evaluation criteria","employee questions or candidate applications"],"output_types":["standardized HR responses","candidate screening summaries","onboarding checklists","policy clarifications"],"categories":["automation-workflow","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_5","uri":"capability://memory.knowledge.conversation.history.retention.and.context.carryover.across.turns","name":"conversation history retention and context carryover across turns","description":"Cody maintains conversation history within a session, enabling the assistant to reference previous messages and provide context-aware responses to follow-up questions. Conversation logs are retained for 14-90 days depending on tier (Basic: 14 days, Premium: 30 days, Advanced: 90 days), allowing users to review past interactions. However, context does not carry across separate conversations or sessions; each new conversation starts with no memory of previous interactions.","intents":["I want to ask follow-up questions without re-specifying the original context","I need to review past conversations with the AI assistant for compliance or training purposes","I want to maintain conversation continuity across multiple turns without losing context","I need to audit what questions were asked and what answers were provided"],"best_for":["Teams using Cody for brainstorming or iterative problem-solving within a single session","Organizations with compliance requirements to audit AI-generated responses","Support teams reviewing past interactions to improve response quality","Users seeking to avoid re-explaining context in multi-turn conversations"],"limitations":["Conversation history is session-scoped; starting a new conversation loses all previous context, requiring users to re-specify domain knowledge","No cross-conversation learning or memory accumulation; Cody does not improve responses based on past interactions with the same user","Retention period is limited (14-90 days); conversations older than the tier limit are deleted and cannot be retrieved","No conversation search or filtering; users cannot easily find specific past conversations or queries","No conversation export or archival feature documented; conversations are lost after retention period expires","Conversation history is not accessible via API; only available through web interface"],"requires":["Active Cody subscription","Conversation initiated within the current session","Retention period not exceeded (14-90 days depending on tier)"],"input_types":["natural language queries","follow-up questions referencing previous messages"],"output_types":["context-aware responses","conversation transcripts","conversation history logs"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_6","uri":"capability://tool.use.integration.api.based.programmatic.access.with.undocumented.schema","name":"api-based programmatic access with undocumented schema","description":"Cody exposes an API for programmatic access to chatbot functionality, available on all subscription tiers. The API enables external applications to submit queries, retrieve responses, and manage knowledge bases without using the web interface. However, API documentation is not publicly available; endpoint specifications, authentication methods, rate limits, and request/response schemas are undocumented, requiring direct contact with Cody support for integration details.","intents":["I want to integrate Cody into my custom application or workflow automation platform","I need to programmatically submit bulk queries or batch process questions","I want to build a custom UI or chatbot interface powered by Cody's backend","I need to automate knowledge base management (upload, delete, update) via API"],"best_for":["Developers building custom applications that need AI-powered Q&A","Teams integrating Cody into existing platforms (Slack, Teams, Zapier, etc.)","Organizations with non-standard deployment requirements (on-premise, air-gapped networks)","Advanced users needing programmatic control over knowledge base and model selection"],"limitations":["API documentation is not publicly available; developers must contact support to learn endpoint specifications","No published rate limits, SLAs, or uptime guarantees; API reliability is unknown","Authentication method is undocumented; unclear if API uses API keys, OAuth, or other mechanisms","Request/response schema is undocumented; no OpenAPI/Swagger specification available","No SDK or client library provided; developers must build HTTP clients from scratch","No versioning strategy documented; API changes may break integrations without warning","No webhook support documented; integrations must use polling or request-response patterns","API availability may be limited to higher tiers; free tier API access is unclear"],"requires":["API key from Cody dashboard (authentication method unspecified)","Direct communication with Cody support to obtain API documentation","HTTP client library in your programming language of choice","Active Cody subscription (API availability by tier is undocumented)"],"input_types":["natural language queries (format unspecified)","model selection parameter (format unspecified)","knowledge base management commands (format unspecified)"],"output_types":["LLM-generated responses (format unspecified)","source citations (format unspecified)","API status codes and error messages (format unspecified)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_7","uri":"capability://text.generation.language.multilingual.query.processing.and.response.generation","name":"multilingual query processing and response generation","description":"Cody claims to support queries and responses in multiple languages, enabling non-English speakers to interact with the knowledge base. The system automatically detects query language and generates responses in the same language. However, the specific languages supported, translation quality, and multilingual knowledge base handling are not documented.","intents":["I want to support employees or customers who speak languages other than English","I need to provide consistent responses in multiple languages without maintaining separate knowledge bases","I want to automatically translate queries and responses without manual configuration","I need to serve global teams with language-specific support"],"best_for":["Global organizations with multilingual workforces","Companies serving international customers","Teams in non-English-speaking regions","Organizations seeking to reduce localization overhead"],"limitations":["Supported languages are not documented; unclear which languages are supported beyond English","Translation quality is not specified; no benchmarks or evaluation metrics provided","No language-specific knowledge base configuration; unclear how multilingual content is indexed and retrieved","No language preference settings per user or conversation; language is inferred from query","Knowledge base content is likely indexed in English; translation of non-English content may degrade retrieval quality","No support for code-switching (mixing languages in a single query) documented","Multilingual support may not extend to website crawling or document ingestion"],"requires":["Active Cody subscription","Knowledge base content (ideally in English for best retrieval quality)","Query in a supported language (list of supported languages not provided)"],"input_types":["natural language queries in multiple languages"],"output_types":["responses in the same language as the query"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_8","uri":"capability://automation.workflow.team.collaboration.with.role.based.access.and.member.limits","name":"team collaboration with role-based access and member limits","description":"Cody supports team collaboration by allowing multiple users to access and interact with the same knowledge base and chatbot instance. Access is managed through team member invitations, with tier-dependent limits on the number of team members (Basic: 3, Premium: 10, Advanced: 30). However, role-based access control (RBAC), permission granularity, and audit logging for team actions are not documented.","intents":["I want to share a knowledge base with my team without creating separate Cody instances","I need to control which team members can edit the knowledge base vs. only query it","I want to track which team member made changes to the knowledge base","I need to manage access for contractors or temporary team members"],"best_for":["Teams of 3-30 people sharing a knowledge base","Organizations with distributed teams needing centralized AI assistance","HR and support teams collaborating on knowledge base content","Companies with clear role separation (editors vs. users)"],"limitations":["Team member limits are hard caps; exceeding tier limits requires upgrading or removing members","Role-based access control (RBAC) is not documented; unclear if different permission levels exist","No granular permissions documented; cannot specify which team members can edit knowledge base vs. only query","No audit logging documented; cannot track who made changes to the knowledge base or when","No team member activity tracking; cannot see which team members are using Cody or how frequently","No guest or read-only access documented; all team members likely have full access","No SSO or directory integration documented; team members must be manually invited"],"requires":["Active Cody subscription","Team member email addresses for invitations","Available team member slots (3 for Basic, 10 for Premium, 30 for Advanced)"],"input_types":["team member email addresses","role or permission level (if supported)"],"output_types":["team member list","access logs (if available)"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_cody__cap_9","uri":"capability://text.generation.language.content.generation.and.creative.writing.assistance","name":"content generation and creative writing assistance","description":"Cody can generate creative content such as emails, marketing materials, social media posts, and other written content based on user prompts and knowledge base context. The system combines knowledge base retrieval with generative capabilities to produce contextually relevant content that aligns with organizational voice and policies. Generated content can be edited and refined through iterative prompts within a conversation.","intents":["I want to generate professional emails or marketing copy without writing from scratch","I need to create content that aligns with my company's policies and tone","I want to brainstorm ideas for social media posts or blog articles","I need to translate or adapt content for different audiences or formats"],"best_for":["Marketing and communications teams creating high-volume content","HR teams drafting consistent employee communications","Support teams writing response templates","Small teams without dedicated copywriters"],"limitations":["Content generation quality depends on underlying LLM model; GPT-4 Mini may produce lower-quality creative content than GPT-4","No content templates or style guides documented; users must provide detailed prompts for consistent output","No plagiarism detection or originality checking; generated content may inadvertently duplicate existing material","No brand voice training or customization documented; content may not consistently match organizational tone","Generated content requires manual review and editing; Cody cannot guarantee accuracy or appropriateness","No version control or content approval workflows documented; no way to track content changes or approvals"],"requires":["Active Cody subscription with available credits","Detailed prompts describing desired content","Knowledge base context (optional but recommended for consistency)"],"input_types":["natural language prompts","content type specification (email, social post, article, etc.)","tone or style guidance"],"output_types":["generated text content","multiple variations or options","editable drafts"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":47,"verified":false,"data_access_risk":"high","permissions":["Knowledge base content (documents, websites, or both) uploaded or crawled before queries can be answered","Active Cody subscription (free tier with 100 credits/month available)","Web browser access to meetcody.ai interface or embedded widget","For API usage: API key from Cody dashboard (available on all tiers)","For document upload: PDF or text file format; file size limits not specified","For website crawling: publicly accessible website URLs; no authentication support for private sites documented","For API ingestion: API key from Cody dashboard; endpoint and schema documentation not provided","Active Cody subscription matching desired tier (document/page limits)","Active Cody subscription with available credits","Clear problem statement or topic for brainstorming"],"failure_modes":["Document retrieval limited by tier: Basic (1,000 docs), Premium (10,000 docs), Advanced (25,000 docs) — organizations with larger knowledge bases must partition content across multiple Cody instances","Conversation history retained only for 14-90 days depending on tier; no persistent cross-session memory or learning","No real-time web search capability — only searches pre-indexed knowledge base; cannot answer questions about current events or external information","Retrieval mechanism uses unspecified semantic similarity algorithm; no control over ranking, weighting, or relevance tuning","Source citations provided but no confidence scoring or uncertainty quantification — users cannot distinguish high-confidence from speculative answers","Website crawling limited by tier: Premium (10,000 pages, 3 websites recurring), Advanced (25,000 pages, 9 websites recurring); Basic tier has no website crawler","No control over crawl depth, URL filtering, or content extraction strategy — crawler behavior is opaque and not customizable","Document limits are hard caps; exceeding tier limits requires upgrading or deleting existing content","No incremental crawling or change detection — full recrawls may be inefficient for large sites with minimal updates","API documentation is not publicly available; API capabilities and rate limits are undocumented","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.78,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"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":"2026-05-24T12:16:29.717Z","last_scraped_at":"2026-04-05T13:23:42.552Z","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=cody","compare_url":"https://unfragile.ai/compare?artifact=cody"}},"signature":"T3d7Z/OZVQkIvsvetVVxa7Zl0CK/gRNPpNbl/wqiBC2QC5WI4dOlSZqGuVjSu/oSR/CYETER2NS38hPT9RB7Bg==","signedAt":"2026-06-21T07:43:23.408Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/cody","artifact":"https://unfragile.ai/cody","verify":"https://unfragile.ai/api/v1/verify?slug=cody","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"}}