{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"mend-io","slug":"mend-io","name":"Mend.io","type":"product","url":"https://www.mend.io","page_url":"https://unfragile.ai/mend-io","categories":["code-review-security"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"mend-io__cap_0","uri":"capability://data.processing.analysis.multi.language.software.composition.analysis.sca.with.dependency.graph.traversal","name":"multi-language software composition analysis (sca) with dependency graph traversal","description":"Scans codebases across 20+ package managers (npm, pip, Maven, NuGet, Gradle, Composer, etc.) by parsing dependency manifests and lock files, then constructs a transitive dependency graph to identify all direct and indirect open-source components. Uses fingerprinting and version matching against a continuously-updated vulnerability database to detect known CVEs, license violations, and outdated packages without requiring source code compilation.","intents":["Identify all open-source dependencies in a codebase and their transitive dependencies","Detect which dependencies have known security vulnerabilities or license compliance issues","Understand the full supply chain risk across multiple package ecosystems","Get a bill of materials (SBOM) for regulatory and compliance reporting"],"best_for":["DevSecOps teams managing multi-language codebases","Enterprises requiring SBOM generation for compliance (SLSA, NIST)","Development teams using monorepos with mixed dependency managers"],"limitations":["Transitive dependency detection accuracy depends on lock file presence; without lock files, version resolution may be imprecise","Private package registries require explicit credential configuration; auto-discovery is limited to public registries","Fingerprinting approach may miss vulnerabilities in forked or heavily-patched dependencies not in the primary database"],"requires":["Git repository access (GitHub, GitLab, Bitbucket, or self-hosted)","Supported package manager manifest files (package.json, requirements.txt, pom.xml, etc.)","API credentials for Mend.io SaaS or on-premise deployment"],"input_types":["dependency manifests (package.json, requirements.txt, pom.xml, Gemfile, composer.json, etc.)","lock files (package-lock.json, yarn.lock, Pipfile.lock, etc.)","git repository metadata"],"output_types":["structured vulnerability report (JSON/XML)","SBOM (CycloneDX, SPDX formats)","dependency tree visualization","risk scoring per component"],"categories":["data-processing-analysis","supply-chain-security"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__cap_1","uri":"capability://automation.workflow.automated.remediation.pull.request.generation.with.dependency.upgrade.recommendations","name":"automated remediation pull request generation with dependency upgrade recommendations","description":"Analyzes detected vulnerabilities and generates pull requests that upgrade vulnerable dependencies to patched versions, using semantic versioning constraints and compatibility analysis to minimize breaking changes. The system evaluates multiple upgrade paths (patch, minor, major) and prioritizes based on risk severity, testing impact, and maintainer activity, then commits changes with detailed changelog and remediation rationale.","intents":["Automatically fix known vulnerabilities without manual version research","Generate PRs that can be reviewed and merged with CI/CD integration","Understand why a specific version was recommended and what changed","Batch multiple dependency upgrades into a single PR or separate by risk level"],"best_for":["Teams with high-velocity release cycles wanting to reduce security debt","Organizations enforcing SLA-based vulnerability remediation (e.g., critical fixes within 24h)","Development teams lacking deep dependency management expertise"],"limitations":["Upgrade recommendations are version-based; cannot detect breaking changes in undocumented APIs or behavioral changes","Requires write access to repository and CI/CD system; some organizations restrict automated PR creation","Batch PR generation may create merge conflicts if multiple PRs target the same dependencies simultaneously","Does not execute integration tests; relies on existing CI pipeline to validate compatibility"],"requires":["GitHub/GitLab/Bitbucket repository with write permissions","CI/CD pipeline configured (GitHub Actions, GitLab CI, Jenkins, etc.)","Mend.io platform integration with repository webhook or scheduled scanning"],"input_types":["vulnerability detection results","dependency manifest and lock files","git repository configuration"],"output_types":["pull request with code changes","commit message with remediation details","changelog and upgrade rationale"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__cap_10","uri":"capability://tool.use.integration.api.driven.vulnerability.data.export.and.custom.reporting","name":"api-driven vulnerability data export and custom reporting","description":"Exposes REST APIs to programmatically query vulnerability data, scan results, and compliance metrics, enabling custom integrations with enterprise security tools (SIEM, ticketing systems, dashboards). Supports bulk export of vulnerability data in multiple formats (JSON, CSV, SARIF) for integration with downstream security orchestration platforms. Enables organizations to build custom reports and dashboards on top of Mend.io data using their preferred BI tools.","intents":["I need to export vulnerability data to our SIEM system for centralized security monitoring","I want to build custom dashboards that combine Mend.io data with other security tools","I need to integrate vulnerability data into our ticketing system automatically"],"best_for":["enterprises with complex security tool ecosystems requiring data integration","organizations building custom security dashboards and reporting","teams needing to correlate Mend.io data with other security data sources"],"limitations":["API rate limits may restrict bulk exports of large vulnerability datasets; requires pagination or scheduled exports","Custom integrations require development effort; organizations without engineering resources may struggle to implement","API schema changes may break custom integrations; requires monitoring of API deprecation notices","Data export includes sensitive information (CVE details, remediation paths); requires careful access control and encryption"],"requires":["Mend.io API token with appropriate scopes","API documentation and authentication credentials","Custom integration code (Python, JavaScript, etc.) or integration platform (Zapier, Make, etc.)"],"input_types":["API queries (vulnerability filters, date ranges, severity levels)","authentication credentials (API token)"],"output_types":["JSON/CSV/SARIF formatted vulnerability data","scan results and metrics","compliance reports","custom report formats"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__cap_2","uri":"capability://data.processing.analysis.static.application.security.testing.sast.with.multi.language.ast.based.code.analysis","name":"static application security testing (sast) with multi-language ast-based code analysis","description":"Performs deep static code analysis by parsing source code into abstract syntax trees (ASTs) across 15+ programming languages, then applies pattern-matching rules to detect security vulnerabilities such as SQL injection, cross-site scripting (XSS), hardcoded credentials, insecure cryptography, and unsafe deserialization. Rules are context-aware and track data flow through function calls and variable assignments to reduce false positives compared to regex-based scanning.","intents":["Detect security vulnerabilities in custom application code before deployment","Find hardcoded secrets and credentials in source code","Identify insecure coding patterns (SQL injection, XSS, unsafe deserialization)","Enforce security coding standards across a development team"],"best_for":["Development teams building custom applications with security requirements","Organizations requiring SAST as part of compliance (PCI-DSS, HIPAA, SOC2)","Teams integrating security scanning into pre-commit or CI/CD pipelines"],"limitations":["AST-based analysis requires language-specific parsers; unsupported languages fall back to regex-based detection with higher false positive rates","Data flow analysis is limited to intra-procedural scope; inter-procedural analysis across service boundaries is not supported","Cannot detect vulnerabilities that depend on runtime behavior or external library behavior not visible in source code","Configuration-driven vulnerabilities (e.g., misconfigured authentication) are not detected"],"requires":["Source code repository access","Supported programming language (Java, Python, JavaScript/TypeScript, C#, Go, Ruby, PHP, etc.)","Mend.io SAST module enabled in platform"],"input_types":["source code files","git repository"],"output_types":["vulnerability report with code location and severity","remediation guidance per vulnerability type","SARIF format for IDE integration"],"categories":["data-processing-analysis","code-review-security"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__cap_3","uri":"capability://data.processing.analysis.container.image.vulnerability.scanning.with.layer.by.layer.analysis","name":"container image vulnerability scanning with layer-by-layer analysis","description":"Scans Docker and OCI container images by extracting and analyzing each layer's filesystem, identifying vulnerable packages installed in the base OS (Alpine, Ubuntu, CentOS, etc.) and application dependencies within the image. Performs SCA on package managers present in the image and cross-references against vulnerability databases, providing a complete inventory of all software components and their known vulnerabilities with remediation guidance at the Dockerfile or base image level.","intents":["Detect vulnerabilities in container images before pushing to registry","Identify vulnerable base images and recommend secure alternatives","Understand the full software inventory inside a container","Enforce container security policies in CI/CD pipelines"],"best_for":["DevOps and platform engineering teams managing container registries","Organizations deploying to Kubernetes and requiring image scanning","Teams enforcing container security policies before production deployment"],"limitations":["Scanning requires access to container image files or registry; private registries need credential configuration","Vulnerability detection is limited to known packages; custom-compiled binaries or statically-linked libraries are not analyzed","Layer analysis cannot detect vulnerabilities introduced by runtime configuration or environment variables","Remediation requires rebuilding the image; cannot patch running containers"],"requires":["Docker or OCI-compatible container image","Access to container registry (Docker Hub, ECR, GCR, Artifactory, etc.) or local image files","Mend.io container scanning module enabled"],"input_types":["container image (Docker/OCI format)","container registry credentials","Dockerfile (for remediation guidance)"],"output_types":["vulnerability report per layer","base image recommendations","Dockerfile remediation suggestions","SBOM for container contents"],"categories":["data-processing-analysis","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__cap_4","uri":"capability://safety.moderation.license.compliance.scanning.and.policy.enforcement","name":"license compliance scanning and policy enforcement","description":"Analyzes all detected open-source dependencies and their associated licenses (from SPDX database, package metadata, and source code inspection), then evaluates compliance against configurable policies that define approved/restricted licenses, copyleft requirements, and commercial usage restrictions. Generates compliance reports and can block builds or flag PRs if policy violations are detected, enabling organizations to enforce licensing standards across teams.","intents":["Ensure all open-source dependencies comply with organizational licensing policies","Detect copyleft licenses (GPL, AGPL) that may require source code disclosure","Identify commercial license restrictions that conflict with business model","Generate license compliance reports for legal and procurement teams"],"best_for":["Legal and compliance teams managing open-source usage","Organizations with strict copyleft policies (e.g., proprietary software vendors)","Companies requiring license compliance documentation for customers or regulators"],"limitations":["License detection relies on package metadata and SPDX identifiers; custom or dual-licensed packages may require manual review","Policy enforcement is binary (pass/fail); no built-in support for license negotiation or exceptions workflow","Does not analyze source code license headers; relies on declared package licenses","Transitive dependency license tracking may be incomplete if dependencies do not declare licenses"],"requires":["Detected dependencies from SCA scan","Configurable license policy (whitelist/blacklist)","Mend.io license compliance module enabled"],"input_types":["dependency list with license metadata","custom license policy configuration"],"output_types":["license compliance report","policy violation alerts","license inventory by component"],"categories":["safety-moderation","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__cap_5","uri":"capability://planning.reasoning.ai.powered.vulnerability.prioritization.and.risk.scoring","name":"ai-powered vulnerability prioritization and risk scoring","description":"Uses machine learning models trained on vulnerability exploitation patterns, CVSS scores, exploit availability, and organizational context to rank detected vulnerabilities by actual risk rather than severity alone. Factors in whether exploits are publicly available, if the vulnerable code path is reachable in the application, the organization's threat model, and historical patch adoption rates to provide context-aware prioritization that helps teams focus on the most critical issues first.","intents":["Prioritize which vulnerabilities to fix first based on real-world risk, not just CVSS score","Understand which vulnerabilities are actively exploited vs theoretical","Reduce alert fatigue by filtering low-risk vulnerabilities","Allocate security resources more efficiently"],"best_for":["Security teams managing large vulnerability backlogs","Organizations with limited security resources needing to maximize impact","Teams using risk-based vulnerability management (vs. compliance-driven)"],"limitations":["ML models are trained on historical data; zero-day vulnerabilities or novel attack patterns may not be prioritized correctly","Reachability analysis (whether vulnerable code is actually called) requires application instrumentation or static analysis; not always available","Prioritization is probabilistic; high-priority predictions may still be false positives in specific contexts","Model accuracy depends on data quality; organizations with atypical threat models may see suboptimal recommendations"],"requires":["Detected vulnerabilities with CVSS scores and exploit metadata","Mend.io AI prioritization module enabled","Optional: application instrumentation or code analysis for reachability data"],"input_types":["vulnerability list with metadata (CVSS, CVE ID, exploit availability)","organizational context (industry, threat model, patch history)"],"output_types":["risk-scored vulnerability list","prioritization recommendations","exploit likelihood assessment"],"categories":["planning-reasoning","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__cap_6","uri":"capability://automation.workflow.continuous.monitoring.and.policy.driven.remediation.workflows","name":"continuous monitoring and policy-driven remediation workflows","description":"Monitors repositories and container registries on a configurable schedule (continuous, daily, weekly) for new vulnerabilities, license violations, and policy violations, then automatically triggers remediation workflows (PR generation, notifications, build blocking) based on severity thresholds and organizational policies. Integrates with CI/CD systems to enforce security gates that prevent vulnerable code or images from reaching production.","intents":["Continuously detect new vulnerabilities in existing dependencies without manual rescanning","Automatically remediate vulnerabilities based on severity and organizational policy","Enforce security gates in CI/CD pipelines to prevent vulnerable code deployment","Track remediation progress and compliance over time"],"best_for":["Organizations with continuous deployment practices","Teams enforcing security SLAs (e.g., critical vulnerabilities fixed within 24h)","DevSecOps teams automating security workflows"],"limitations":["Continuous monitoring increases API calls and scanning overhead; may impact build times if not optimized","Automated remediation can create PR merge conflicts or introduce breaking changes if not carefully configured","Policy enforcement is rigid; exceptions or manual overrides require administrative intervention","Webhook-based triggering may miss vulnerabilities if webhooks fail or are misconfigured"],"requires":["Repository webhook configuration (GitHub, GitLab, Bitbucket)","CI/CD system integration (GitHub Actions, GitLab CI, Jenkins, etc.)","Configurable remediation policies","Mend.io continuous monitoring module enabled"],"input_types":["repository/registry monitoring configuration","remediation policy definitions","CI/CD pipeline configuration"],"output_types":["automated PRs for remediation","build failure notifications","compliance dashboards","remediation audit logs"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__cap_7","uri":"capability://tool.use.integration.developer.centric.ide.and.git.integration.with.real.time.feedback","name":"developer-centric ide and git integration with real-time feedback","description":"Provides IDE plugins (VS Code, JetBrains, Visual Studio) and Git pre-commit hooks that scan code in real-time as developers write, flagging vulnerabilities, license issues, and security violations before code is committed. Integrates with GitHub/GitLab to show inline comments on PRs with remediation suggestions, enabling developers to fix issues immediately rather than discovering them in CI/CD.","intents":["Get real-time security feedback while coding, not after pushing to CI/CD","Fix vulnerabilities immediately with inline remediation suggestions","Shift security left by catching issues before PR creation","Reduce friction between developers and security teams"],"best_for":["Development teams wanting to shift security left","Organizations with developer-first security culture","Teams using VS Code, JetBrains IDEs, or Visual Studio"],"limitations":["Real-time scanning adds IDE latency; scanning large codebases may slow down editor responsiveness","IDE plugins require installation and configuration per developer; adoption may be incomplete","Pre-commit hooks can be bypassed with --no-verify flag; not suitable as sole enforcement mechanism","Offline development is not supported; requires connectivity to Mend.io platform"],"requires":["Supported IDE (VS Code, IntelliJ IDEA, Visual Studio, etc.)","Mend.io IDE plugin installed","Git repository with pre-commit hook configuration","Network connectivity to Mend.io platform"],"input_types":["source code being edited","git commit metadata"],"output_types":["inline IDE diagnostics","PR comments with remediation","pre-commit hook feedback"],"categories":["tool-use-integration","code-review-security"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__cap_8","uri":"capability://data.processing.analysis.centralized.vulnerability.and.compliance.dashboard.with.reporting.and.analytics","name":"centralized vulnerability and compliance dashboard with reporting and analytics","description":"Provides a web-based dashboard that aggregates vulnerability, license, and compliance data across all scanned repositories and container images, enabling security teams to track remediation progress, identify trends, and generate compliance reports. Includes role-based access control, customizable dashboards, and integration with ticketing systems (Jira, Azure DevOps) to track remediation tasks.","intents":["Get a centralized view of security and compliance status across all repositories","Track remediation progress and identify bottlenecks","Generate compliance reports for auditors and regulators","Identify trends in vulnerability types and remediation patterns"],"best_for":["Security and compliance teams managing multiple projects","Organizations requiring audit trails and compliance reporting","Teams using Jira or Azure DevOps for issue tracking"],"limitations":["Dashboard performance may degrade with very large numbers of repositories (100+); pagination and filtering required","Custom report generation requires manual dashboard configuration; no programmatic report API","Role-based access control is basic; fine-grained permissions (per-repository) are not supported","Historical data retention depends on plan tier; some organizations may have limited historical visibility"],"requires":["Mend.io SaaS account with dashboard access","Multiple scanned repositories or container images","Optional: Jira or Azure DevOps integration for issue tracking"],"input_types":["vulnerability and compliance data from scans","remediation history"],"output_types":["web-based dashboard","compliance reports (PDF, CSV)","Jira/Azure DevOps tickets","analytics and trend data"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__cap_9","uri":"capability://tool.use.integration.api.driven.integration.and.webhook.based.event.streaming","name":"api-driven integration and webhook-based event streaming","description":"Exposes REST APIs and webhook endpoints that enable programmatic access to vulnerability data, remediation status, and compliance reports, allowing organizations to integrate Mend.io into custom workflows, ticketing systems, and security orchestration platforms. Webhooks stream real-time events (vulnerability detected, remediation PR created, policy violation) to external systems for event-driven automation.","intents":["Integrate Mend.io data into custom security dashboards or analytics platforms","Trigger custom workflows based on vulnerability detection or remediation events","Sync vulnerability data with ticketing systems (Jira, ServiceNow, etc.)","Build custom reports or compliance automation"],"best_for":["Organizations with custom security workflows or SOAR platforms","Teams building custom integrations with existing tools","Security teams automating compliance reporting"],"limitations":["API rate limits may restrict high-frequency polling; webhook-based event streaming is preferred","API documentation may be incomplete for newer features; requires vendor support for custom integrations","Webhook delivery is not guaranteed; organizations must implement retry logic for critical workflows","API authentication requires API key management; no OAuth2 support for user-delegated access"],"requires":["Mend.io API key","HTTP client or SDK (REST API)","Webhook receiver endpoint (for event streaming)","Network connectivity to Mend.io platform"],"input_types":["API requests (REST)","webhook events (JSON)"],"output_types":["vulnerability data (JSON)","remediation status","compliance reports","webhook events"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"mend-io__headline","uri":"capability://code.review.security.ai.powered.application.security.platform","name":"ai-powered application security platform","description":"Mend.io is an AI-driven application security platform that automates the detection of vulnerabilities in open-source dependencies, prioritizes risks, and generates remediation pull requests, ensuring compliance across codebases.","intents":["best application security platform","application security for open-source projects","AI-driven vulnerability detection tools","top SCA and SAST solutions","automated license compliance tools"],"best_for":["organizations using open-source software","development teams prioritizing security"],"limitations":[],"requires":[],"input_types":[],"output_types":[],"categories":["code-review-security"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":54,"verified":false,"data_access_risk":"high","permissions":["Git repository access (GitHub, GitLab, Bitbucket, or self-hosted)","Supported package manager manifest files (package.json, requirements.txt, pom.xml, etc.)","API credentials for Mend.io SaaS or on-premise deployment","GitHub/GitLab/Bitbucket repository with write permissions","CI/CD pipeline configured (GitHub Actions, GitLab CI, Jenkins, etc.)","Mend.io platform integration with repository webhook or scheduled scanning","Mend.io API token with appropriate scopes","API documentation and authentication credentials","Custom integration code (Python, JavaScript, etc.) or integration platform (Zapier, Make, etc.)","Source code repository access"],"failure_modes":["Transitive dependency detection accuracy depends on lock file presence; without lock files, version resolution may be imprecise","Private package registries require explicit credential configuration; auto-discovery is limited to public registries","Fingerprinting approach may miss vulnerabilities in forked or heavily-patched dependencies not in the primary database","Upgrade recommendations are version-based; cannot detect breaking changes in undocumented APIs or behavioral changes","Requires write access to repository and CI/CD system; some organizations restrict automated PR creation","Batch PR generation may create merge conflicts if multiple PRs target the same dependencies simultaneously","Does not execute integration tests; relies on existing CI pipeline to validate compatibility","API rate limits may restrict bulk exports of large vulnerability datasets; requires pagination or scheduled exports","Custom integrations require development effort; organizations without engineering resources may struggle to implement","API schema changes may break custom integrations; requires monitoring of API deprecation notices","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":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.328Z","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=mend-io","compare_url":"https://unfragile.ai/compare?artifact=mend-io"}},"signature":"w/WkGXt0w7rAYVXSNBQK8ggPvgl2GeUZyDt8zC477bTq9/12tJilClvaZVRfF8LT/qbnBIIzE9Uec4TCXhg9Cg==","signedAt":"2026-06-22T04:11:07.339Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/mend-io","artifact":"https://unfragile.ai/mend-io","verify":"https://unfragile.ai/api/v1/verify?slug=mend-io","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"}}