{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_qatalog","slug":"qatalog","name":"Qatalog","type":"product","url":"https://qatalog.com","page_url":"https://unfragile.ai/qatalog","categories":["app-builders"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_qatalog__cap_0","uri":"capability://search.retrieval.multi.source.data.asset.discovery.and.search","name":"multi-source data asset discovery and search","description":"Implements a unified search index across heterogeneous data sources (Salesforce, Tableau, Looker, databases, data warehouses) by crawling and cataloging metadata from each system's native APIs and connectors. Uses a centralized metadata repository with full-text search and semantic indexing to enable employees to find data assets without direct access to underlying systems or requiring data engineering expertise. The search interface abstracts away source-specific query languages and access patterns, presenting a single search box that returns results ranked by relevance and metadata enrichment.","intents":["I need to find which Salesforce field contains customer lifetime value without asking the data team","Show me all dashboards and reports that use our revenue data across Tableau and Looker","Search for any dataset containing PII so we can audit compliance","Find the most recently updated data assets in our organization"],"best_for":["mid-market organizations with data scattered across 3+ SaaS platforms","teams where business users need self-service data discovery","companies lacking a dedicated data governance team"],"limitations":["Search latency depends on metadata freshness—real-time indexing not guaranteed for all sources","Limited semantic understanding of business context; relies on metadata tags and descriptions rather than content analysis","Does not search inside data values themselves, only asset metadata and schema information","Integration breadth limited—pre-built connectors cover ~20-30 popular tools; custom sources require manual connector development"],"requires":["API credentials for each data source (Salesforce API token, Tableau Server/Cloud credentials, etc.)","Network connectivity from Qatalog infrastructure to source systems","Metadata permissions on source systems (read-only access to schema/asset definitions)"],"input_types":["API credentials","source system URLs","search queries (natural language text)"],"output_types":["ranked list of data assets with metadata","asset details (schema, owner, last modified, lineage preview)","structured JSON with asset identifiers and source references"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qatalog__cap_1","uri":"capability://automation.workflow.real.time.metadata.synchronization.from.distributed.sources","name":"real-time metadata synchronization from distributed sources","description":"Continuously polls or subscribes to metadata change events from connected data sources (databases, data warehouses, BI tools, SaaS platforms) and updates the central catalog in near-real-time. Uses source-specific connectors that translate each system's metadata schema (e.g., Salesforce custom fields, Tableau workbook structure, Looker explores) into a normalized internal representation. Implements change detection at the metadata level (schema changes, asset renames, ownership updates) rather than data-level changes, reducing computational overhead while keeping the catalog fresh.","intents":["Ensure the catalog reflects new columns added to our data warehouse this morning","Automatically update asset ownership when a team member leaves","Detect when a critical dataset has been deleted or moved","Keep dashboard and report metadata in sync as BI tools are updated"],"best_for":["organizations with frequent schema changes or rapid data infrastructure evolution","teams that need audit trails of metadata modifications","companies where data assets are created/modified by multiple teams independently"],"limitations":["Synchronization latency varies by source—some connectors poll every 15-30 minutes rather than true event-driven updates","Does not track data-level changes (row counts, data quality metrics); only schema and asset metadata","Requires persistent API connections or webhook endpoints; may conflict with strict network security policies","Connector reliability depends on source system stability—API outages or rate limits can cause sync delays"],"requires":["Active API credentials for each source system with metadata read permissions","Network connectivity from Qatalog to source systems (or webhook endpoints for event delivery)","Source systems must expose metadata via APIs (not all legacy systems support this)"],"input_types":["metadata change events from source APIs","webhook payloads (if source supports event streaming)","polling responses from source metadata endpoints"],"output_types":["updated asset records in central catalog","change logs with timestamps and modification details","notifications/alerts for significant metadata changes"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qatalog__cap_2","uri":"capability://memory.knowledge.collaborative.asset.annotation.and.tagging","name":"collaborative asset annotation and tagging","description":"Provides a shared interface where team members can add descriptions, tags, business glossary terms, and custom metadata to data assets without modifying source systems. Uses a lightweight permission model (owner, editor, viewer roles) to control who can modify asset metadata. Supports bulk tagging operations and template-based annotations to standardize metadata across similar assets. Changes are tracked with audit logs showing who modified what and when, enabling teams to maintain a living data dictionary that evolves with organizational knowledge.","intents":["Add a business-friendly description to a technical database column so non-technical users understand what it contains","Tag all customer-related datasets with a 'PII' label for compliance tracking","Link a dataset to a glossary term so business users see the official definition","See who last updated an asset's metadata and what changed"],"best_for":["organizations building a shared data culture and documentation practices","teams with distributed data ownership across departments","companies needing to bridge technical and business terminology"],"limitations":["Annotations stored only in Qatalog—do not propagate back to source systems, creating potential drift","No version control for metadata changes; only audit logs of who changed what","Bulk operations limited to simple tagging; complex transformations require manual effort","No workflow approval process for metadata changes—relies on trust and post-hoc auditing"],"requires":["User accounts in Qatalog with appropriate role assignments","Organizational agreement on tagging standards and glossary terms"],"input_types":["free-form text descriptions","tag strings","glossary term references","custom metadata key-value pairs"],"output_types":["annotated asset records","audit logs with change history","tagged asset collections for filtering/search"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qatalog__cap_3","uri":"capability://data.processing.analysis.data.lineage.visualization.and.impact.analysis","name":"data lineage visualization and impact analysis","description":"Constructs a directed acyclic graph (DAG) of data dependencies by analyzing metadata relationships across sources (e.g., which Tableau dashboard uses which database tables, which ETL jobs feed which data warehouses). Supports both upstream lineage (showing source data) and downstream lineage (showing dependent assets). Provides interactive visualization of lineage chains and enables impact analysis queries (e.g., 'if this table is deleted, what breaks?'). Lineage is derived from metadata relationships and connector-specific dependency information rather than deep code/query parsing.","intents":["Show me all dashboards that depend on this database table so I know what breaks if we deprecate it","Trace where this metric in our BI tool ultimately comes from in the data warehouse","Identify all assets affected by a schema change in our source system","Understand the data flow from raw data to final reporting"],"best_for":["organizations managing complex data pipelines with multiple transformation layers","teams needing to assess impact before making infrastructure changes","companies with compliance requirements to document data flows"],"limitations":["Lineage limited to metadata relationships—does not parse SQL queries or code to infer transformations, so custom transformations may be invisible","Requires explicit lineage metadata from sources; systems without dependency tracking (e.g., legacy databases) show incomplete lineage","Impact analysis is graph-based and may miss indirect dependencies or conditional logic","Visualization becomes cluttered with large lineage graphs (100+ assets); filtering/search required for navigation"],"requires":["Source systems that expose lineage metadata via APIs (Tableau, Looker, dbt, some data warehouses)","Explicit lineage configuration for custom data pipelines or ETL tools"],"input_types":["metadata relationships from source systems","lineage definitions (upstream/downstream asset references)","impact analysis queries (asset identifiers)"],"output_types":["interactive DAG visualization","lineage chain details (asset names, types, owners)","impact analysis results (list of affected assets)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qatalog__cap_4","uri":"capability://tool.use.integration.data.source.connector.framework.and.extensibility","name":"data source connector framework and extensibility","description":"Provides a plugin architecture for building custom connectors to new data sources beyond the pre-built integrations (Salesforce, Tableau, Looker, etc.). Connectors implement a standard interface for metadata extraction (schema discovery, asset enumeration, ownership mapping) and are responsible for translating source-specific metadata formats into Qatalog's normalized schema. Includes SDKs and documentation for building connectors, with support for both pull-based (polling APIs) and push-based (webhooks) metadata delivery. Pre-built connectors for popular platforms are maintained by Qatalog; custom connectors are built and maintained by customers or partners.","intents":["Connect our proprietary internal data platform to Qatalog so we can catalog custom assets","Build a connector for our legacy database system that doesn't have a pre-built integration","Integrate with our custom metadata management system to avoid duplication","Extend Qatalog to support a new SaaS tool our team just adopted"],"best_for":["organizations with custom or legacy data systems not covered by pre-built connectors","teams with engineering resources to build and maintain custom integrations","companies needing to integrate Qatalog with proprietary metadata systems"],"limitations":["Connector development requires engineering effort—not a no-code solution","Limited documentation and examples for custom connector development compared to mature platforms","Smaller ecosystem means fewer community-contributed connectors vs. competitors","Connector reliability depends on source system API stability; breaking API changes require connector updates"],"requires":["SDK documentation and API reference (language/framework varies)","Development environment matching Qatalog's supported tech stack","API credentials and access to target data source for testing"],"input_types":["source system API responses","metadata schema definitions","configuration parameters (API endpoints, credentials)"],"output_types":["normalized metadata records","asset inventory with schema information","lineage/dependency data (if source supports it)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qatalog__cap_5","uri":"capability://automation.workflow.asset.ownership.and.stewardship.assignment","name":"asset ownership and stewardship assignment","description":"Enables assignment of data stewards, owners, and subject matter experts to individual assets or asset collections, with role-based permissions controlling who can modify ownership and metadata. Supports bulk ownership assignment and automated ownership propagation (e.g., assigning a team as owner of all assets in a schema). Tracks ownership history and enables notifications to owners when their assets are accessed or modified. Integrates with identity systems (LDAP, SSO, directory services) to sync organizational structure and enable role-based access control.","intents":["Assign the analytics team as owners of all our BI dashboards so they get notified of changes","Find who owns a particular dataset so I can ask them about data quality","Automatically update asset owners when team members change roles","See which assets don't have assigned owners so we can establish stewardship"],"best_for":["organizations establishing data governance and stewardship programs","teams with distributed data ownership across departments","companies needing to track accountability for data assets"],"limitations":["Ownership is metadata-only; does not enforce access control or prevent unauthorized modifications","No workflow for ownership disputes or escalation—relies on organizational processes","Notifications are basic (email/in-app); no integration with incident management or ticketing systems","Bulk ownership assignment can be error-prone if organizational structure is not well-defined"],"requires":["User accounts in Qatalog for all stewards/owners","Optional: LDAP/SSO integration for automated user provisioning","Organizational agreement on ownership model (individual vs. team ownership)"],"input_types":["user/team identifiers","asset identifiers","ownership rules (e.g., 'all assets in schema X are owned by team Y')"],"output_types":["asset records with owner assignments","ownership reports and dashboards","notification events for ownership changes"],"categories":["automation-workflow","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qatalog__cap_6","uri":"capability://data.processing.analysis.data.quality.metrics.and.monitoring.integration","name":"data quality metrics and monitoring integration","description":"Integrates with external data quality tools (e.g., Great Expectations, Soda, dbt tests) to display quality metrics and test results alongside asset metadata in the catalog. Pulls quality scores, test results, and anomaly detection alerts from quality platforms and displays them in asset detail pages. Enables filtering and searching by data quality status (e.g., 'show me all datasets with quality score < 80%'). Does not compute quality metrics itself; acts as a display layer for metrics generated by external tools.","intents":["See the data quality score for a dataset before using it in a report","Find all datasets that are failing quality tests so we can prioritize fixes","Track quality trends over time for critical datasets","Get alerts when a dataset's quality degrades"],"best_for":["organizations already using dedicated data quality tools","teams needing visibility into data quality across the organization","companies with data quality as a governance priority"],"limitations":["Does not generate quality metrics—requires external quality tools to be configured separately","Quality metric display is read-only; cannot modify or override quality scores from Qatalog","Integration breadth limited to popular quality tools; custom quality frameworks require manual integration","Quality metrics may lag behind actual data state if quality tool refresh cycles are infrequent"],"requires":["External data quality tool (Great Expectations, Soda, dbt, etc.) configured and running","API credentials for quality tool to enable metric retrieval","Quality metrics published to a system Qatalog can query"],"input_types":["quality metrics from external tools (JSON/API responses)","test results and anomaly alerts","quality score thresholds and definitions"],"output_types":["quality scores displayed in asset detail pages","quality-based filtering and search results","quality trend reports and dashboards"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_qatalog__cap_7","uri":"capability://automation.workflow.freemium.self.service.onboarding.and.setup","name":"freemium self-service onboarding and setup","description":"Provides a free tier with limited features (basic search, single data source, limited users) that allows teams to test core cataloging functionality without upfront cost or sales process. Includes guided setup workflows that walk users through connecting their first data source, creating initial asset collections, and inviting team members. Uses a low-friction SaaS model with no installation or infrastructure setup required. Upgrade path to paid tiers is self-serve; customers can add data sources, users, and advanced features through the product UI without contacting sales.","intents":["Try out Qatalog with our Salesforce data before committing budget","Get a data catalog running in a day without IT involvement","Expand from one data source to multiple sources as our team grows","Evaluate Qatalog against competitors without a lengthy sales process"],"best_for":["mid-market teams with limited budgets for data governance","organizations wanting to test data cataloging before enterprise commitment","teams without dedicated procurement/IT approval processes"],"limitations":["Free tier limited to 1-2 data sources and small user counts; scaling requires paid plan","Advanced features (lineage, quality integration, custom connectors) only available on paid tiers","No SLA or support on free tier; support is community/documentation-based","Free tier data may be subject to retention limits or deletion if account becomes inactive"],"requires":["Email address and basic account setup","API credentials for at least one data source (Salesforce, Tableau, etc.)","No credit card required for free tier"],"input_types":["user email and account information","data source API credentials","team member invitations"],"output_types":["active Qatalog account with free tier access","initial catalog with connected data source","team workspace with invited members"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["API credentials for each data source (Salesforce API token, Tableau Server/Cloud credentials, etc.)","Network connectivity from Qatalog infrastructure to source systems","Metadata permissions on source systems (read-only access to schema/asset definitions)","Active API credentials for each source system with metadata read permissions","Network connectivity from Qatalog to source systems (or webhook endpoints for event delivery)","Source systems must expose metadata via APIs (not all legacy systems support this)","User accounts in Qatalog with appropriate role assignments","Organizational agreement on tagging standards and glossary terms","Source systems that expose lineage metadata via APIs (Tableau, Looker, dbt, some data warehouses)","Explicit lineage configuration for custom data pipelines or ETL tools"],"failure_modes":["Search latency depends on metadata freshness—real-time indexing not guaranteed for all sources","Limited semantic understanding of business context; relies on metadata tags and descriptions rather than content analysis","Does not search inside data values themselves, only asset metadata and schema information","Integration breadth limited—pre-built connectors cover ~20-30 popular tools; custom sources require manual connector development","Synchronization latency varies by source—some connectors poll every 15-30 minutes rather than true event-driven updates","Does not track data-level changes (row counts, data quality metrics); only schema and asset metadata","Requires persistent API connections or webhook endpoints; may conflict with strict network security policies","Connector reliability depends on source system stability—API outages or rate limits can cause sync delays","Annotations stored only in Qatalog—do not propagate back to source systems, creating potential drift","No version control for metadata changes; only audit logs of who changed what","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"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":"2026-05-24T12:16:32.438Z","last_scraped_at":"2026-04-05T13:23:42.560Z","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=qatalog","compare_url":"https://unfragile.ai/compare?artifact=qatalog"}},"signature":"15ljN/KQTD/oTkPce0OiEsgaDuDGrxatslPJg5YzWSiORX1zzfpZyS0vLBCfZG91+hT0qNg8tAhvN89OmXmhCQ==","signedAt":"2026-06-22T02:46:12.974Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/qatalog","artifact":"https://unfragile.ai/qatalog","verify":"https://unfragile.ai/api/v1/verify?slug=qatalog","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"}}