{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_synq","slug":"synq","name":"SYNQ","type":"product","url":"https://www.sync.ai","page_url":"https://unfragile.ai/synq","categories":["app-builders"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_synq__cap_0","uri":"capability://tool.use.integration.multi.channel.communication.consolidation.with.unified.inbox","name":"multi-channel communication consolidation with unified inbox","description":"Aggregates messages and conversations from disparate communication platforms (email, Slack, Teams, SMS, etc.) into a single unified workspace interface. Uses a channel-agnostic message normalization layer that maps platform-specific message schemas to a canonical internal format, enabling cross-platform search, threading, and context preservation without requiring users to context-switch between applications.","intents":["I want to see all customer communications in one place without switching between email, Slack, and Teams","I need to search across all communication channels to find a specific conversation or customer interaction","I want to maintain conversation threads that span multiple communication platforms"],"best_for":["Sales teams managing customer conversations across multiple channels","Customer success teams coordinating support across email and chat platforms","Mid-market enterprises with fragmented communication infrastructure"],"limitations":["Message synchronization latency depends on platform API rate limits; real-time sync may lag 30-60 seconds on high-volume accounts","Platform-specific rich formatting (threads, reactions, mentions) may not fully translate across all channel types","Requires OAuth or API token authentication for each connected platform; some legacy systems may not support modern auth methods"],"requires":["Active accounts on at least one supported communication platform (Slack, Teams, Gmail, Outlook, etc.)","OAuth 2.0 or API token credentials for each platform to be consolidated","Network connectivity to SYNQ cloud infrastructure for real-time sync"],"input_types":["messages from email systems (IMAP/SMTP)","chat platform events (Slack, Teams, Discord APIs)","SMS/messaging service webhooks"],"output_types":["unified message stream (JSON/REST API)","searchable conversation index","normalized message objects with metadata"],"categories":["tool-use-integration","communication-infrastructure"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_synq__cap_1","uri":"capability://data.processing.analysis.automatic.customer.data.enrichment.with.real.time.context.injection","name":"automatic customer data enrichment with real-time context injection","description":"Automatically appends customer intelligence (company info, contact history, deal stage, firmographic data) to conversations as they occur by matching message senders against a connected CRM or data warehouse. Uses pattern matching and entity recognition to identify customer references in messages, then performs real-time lookups against configured data sources (Salesforce, HubSpot, custom APIs) to inject relevant context without manual user action.","intents":["I want customer company information and deal stage automatically shown when a customer emails or messages us","I need historical interaction data and previous conversation context to appear automatically in conversations","I want to see firmographic data (company size, industry, location) without manually looking it up in our CRM"],"best_for":["Sales teams needing instant customer context during conversations","Customer success teams managing accounts across multiple touchpoints","Support teams requiring account history without manual CRM lookups"],"limitations":["Enrichment accuracy depends on data quality in source systems; duplicate or incomplete CRM records may cause false matches or missing data","Real-time enrichment adds 200-500ms latency per message depending on data source API response time","Privacy-regulated industries (healthcare, finance) must implement additional compliance controls; automatic data injection may violate data minimization principles","Enrichment only works for contacts already in connected CRM; unknown senders receive no enrichment"],"requires":["Connected CRM system (Salesforce, HubSpot, Pipedrive, or custom API endpoint)","API credentials with read access to customer/contact records","Email domain or phone number matching rules configured to identify customers","Data warehouse or API endpoint returning customer records in <1 second for real-time injection"],"input_types":["incoming messages (email, chat) with sender metadata","customer identifiers (email, phone, company domain)","CRM record schemas"],"output_types":["enriched message objects with appended customer data","context cards displayed in UI (company info, deal stage, interaction history)","structured customer profile data (JSON)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_synq__cap_2","uri":"capability://tool.use.integration.crm.and.enterprise.system.bidirectional.synchronization","name":"crm and enterprise system bidirectional synchronization","description":"Maintains two-way data sync between SYNQ conversations and connected CRM systems (Salesforce, HubSpot, Pipedrive) and enterprise tools (Jira, Asana, Monday.com). Uses webhook-based event streaming and scheduled batch reconciliation to ensure conversation metadata, customer interactions, and task updates flow bidirectionally; changes in SYNQ (e.g., marking a conversation as resolved) trigger CRM updates, and CRM changes (e.g., deal stage updates) reflect in SYNQ context.","intents":["I want conversation summaries and customer interactions automatically logged to our CRM without manual data entry","I need deal stage changes in Salesforce to automatically update conversation context in SYNQ","I want to create and update tasks in Jira or Asana directly from conversations without switching tools"],"best_for":["Sales teams using Salesforce or HubSpot as system of record","Customer success teams managing accounts across CRM and project management tools","Enterprises requiring audit trails of all customer interactions in CRM"],"limitations":["Sync latency typically 30-120 seconds due to webhook delivery and batch processing; real-time bidirectional sync not guaranteed","Field mapping must be manually configured per CRM instance; custom fields require custom mapping logic","Conflicts in bidirectional sync (simultaneous updates in SYNQ and CRM) require conflict resolution rules; default behavior may overwrite data","Large conversation volumes (>10K messages/day) may exceed CRM API rate limits, causing sync delays or failures"],"requires":["Active CRM account (Salesforce, HubSpot, Pipedrive) with API access","API credentials with read/write permissions to contacts, deals, and custom objects","Webhook endpoint configuration or OAuth token for event streaming","Field mapping configuration between SYNQ conversation schema and CRM object schema"],"input_types":["conversation metadata (participants, timestamps, resolution status)","CRM record updates (deal stage, contact info, custom fields)","task/project management events (task creation, status changes)"],"output_types":["CRM activity records (calls, emails, notes)","updated deal/contact records in CRM","task/ticket creation in project management tools","sync status and conflict logs"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_synq__cap_3","uri":"capability://automation.workflow.conversation.aware.task.and.workflow.automation","name":"conversation-aware task and workflow automation","description":"Automatically triggers workflows and creates tasks in downstream systems (Jira, Asana, Salesforce) based on conversation content and context. Uses natural language processing and rule-based triggers to detect action items, customer requests, or escalation signals in messages, then orchestrates task creation with pre-populated fields (assignee, priority, description) derived from conversation metadata and enriched customer data.","intents":["I want action items mentioned in customer conversations automatically converted to tasks in Jira or Asana","I need support escalations detected automatically and routed to the right team with full conversation context","I want to trigger custom workflows when specific keywords or customer conditions appear in conversations"],"best_for":["Support teams automating ticket creation from customer messages","Sales teams converting customer requests into follow-up tasks","Operations teams automating escalation workflows based on conversation signals"],"limitations":["NLP-based action item detection has ~70-85% accuracy; false positives and false negatives require manual review for critical workflows","Rule-based triggers require manual configuration per workflow type; no machine learning model adaptation based on team patterns","Task creation latency depends on downstream system API response time; may add 500ms-2s per task","No built-in deduplication; multiple similar messages may trigger duplicate task creation without explicit deduplication rules"],"requires":["Connected task management system (Jira, Asana, Monday.com, Salesforce) with API write access","Workflow rule configuration (trigger conditions, field mappings, assignee logic)","API credentials with permissions to create tasks/issues in downstream system","Optional: custom webhook endpoint for complex workflow logic"],"input_types":["conversation messages and metadata","enriched customer data (company, deal stage, account owner)","workflow rule definitions (JSON or UI-based)"],"output_types":["task/issue creation in downstream system","workflow execution logs","task assignment and priority metadata"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_synq__cap_4","uri":"capability://automation.workflow.real.time.team.collaboration.and.presence.awareness","name":"real-time team collaboration and presence awareness","description":"Provides real-time collaboration features including live typing indicators, presence status (online/away/busy), and shared conversation editing within the unified inbox. Uses WebSocket-based event streaming to broadcast user presence and typing state across team members viewing the same conversation, enabling coordinated responses and reducing duplicate work.","intents":["I want to see which team members are currently viewing or responding to a customer conversation","I need to know if a colleague is already typing a response to avoid duplicate messages","I want to collaborate on drafting a response with real-time visibility of edits"],"best_for":["Customer success teams coordinating responses to high-priority customers","Support teams avoiding duplicate responses through presence awareness","Sales teams collaborating on complex customer negotiations"],"limitations":["Real-time presence requires persistent WebSocket connections; network interruptions may cause stale presence data","Typing indicators only show within SYNQ interface; external email/chat clients won't see SYNQ user typing state","Presence data is ephemeral; no historical audit trail of who viewed conversations at what time","Shared editing of draft responses may cause conflicts if multiple users edit simultaneously; requires conflict resolution UI"],"requires":["Active SYNQ user session with WebSocket support","Team members with SYNQ accounts and appropriate conversation permissions","Network connectivity to SYNQ WebSocket servers for real-time event delivery"],"input_types":["user presence events (login, logout, status change)","typing events (keystroke, composition state)","draft message edits"],"output_types":["presence indicators in conversation UI","typing notifications","real-time draft synchronization"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_synq__cap_5","uri":"capability://search.retrieval.advanced.conversation.search.with.semantic.and.metadata.filtering","name":"advanced conversation search with semantic and metadata filtering","description":"Enables full-text and semantic search across all consolidated conversations using inverted indexing and vector embeddings. Supports filtering by customer, date range, communication channel, conversation status, and enriched data fields (company size, deal stage, industry). Uses hybrid search combining keyword matching with semantic similarity to find relevant conversations even when exact terms don't match.","intents":["I need to find all conversations with a specific customer across all communication channels","I want to search for conversations about a specific topic or issue using natural language","I need to filter conversations by customer attributes (company size, industry) or deal stage to identify patterns"],"best_for":["Sales teams analyzing customer communication patterns","Support teams finding similar issues to resolve faster","Compliance teams auditing conversations for specific topics or keywords"],"limitations":["Semantic search accuracy depends on embedding model quality; domain-specific terminology may not be well-represented in general-purpose embeddings","Indexing large conversation volumes (>1M messages) may require 24-48 hours for full semantic index rebuild","Search latency increases with result set size; queries returning >10K results may take 5-10 seconds","Metadata filtering requires fields to be explicitly indexed; custom CRM fields may not be searchable without configuration"],"requires":["Conversations indexed in SYNQ search backend (automatic on message ingestion)","Optional: vector embedding model configured for semantic search","Search query syntax documentation for advanced filtering"],"input_types":["free-text search queries","structured filter criteria (date range, channel, customer, status)","semantic search queries (natural language)"],"output_types":["ranked conversation results with relevance scores","conversation snippets with highlighted matches","aggregated metadata (conversation count by customer, channel, date)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_synq__cap_6","uri":"capability://data.processing.analysis.conversation.analytics.and.team.performance.metrics","name":"conversation analytics and team performance metrics","description":"Generates analytics dashboards and reports on conversation volume, response times, resolution rates, and team performance metrics. Aggregates conversation metadata (timestamps, participants, duration, resolution status) and computes metrics like average response time, first-response time, customer satisfaction signals, and team utilization. Supports custom metric definitions and scheduled report generation.","intents":["I want to see response time metrics and SLA compliance across my support team","I need to identify which team members are most responsive or have highest resolution rates","I want to track conversation volume trends and identify peak communication periods"],"best_for":["Support team managers tracking SLA compliance and performance","Sales leaders analyzing team responsiveness and customer engagement","Operations teams optimizing staffing and resource allocation"],"limitations":["Metrics depend on accurate conversation timestamps and resolution status; manual status updates may introduce data quality issues","Customer satisfaction signals inferred from conversation metadata (e.g., resolution status) are indirect; no direct CSAT survey integration mentioned","Custom metric definitions require manual configuration; no machine learning-based anomaly detection for performance outliers","Report generation latency depends on data volume; large datasets (>100K conversations) may require 30-60 seconds to compute"],"requires":["Conversations with complete metadata (timestamps, participants, resolution status)","Optional: connected CRM or survey system for customer satisfaction data","Dashboard/reporting tool access (web UI or API)"],"input_types":["conversation metadata (timestamps, participants, status, duration)","customer satisfaction data (optional)","metric definitions (custom formulas)"],"output_types":["performance dashboards (web UI)","scheduled reports (PDF, CSV, email)","metric time-series data (JSON/API)","team and individual performance scorecards"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_synq__cap_7","uri":"capability://safety.moderation.compliance.and.audit.logging.for.regulated.industries","name":"compliance and audit logging for regulated industries","description":"Maintains immutable audit logs of all conversation activity, data access, and system changes for compliance with regulations (HIPAA, GDPR, SOC 2). Logs include message content, enrichment data accessed, user actions, and timestamps with cryptographic verification. Supports data retention policies, automated redaction of sensitive information, and audit report generation for compliance reviews.","intents":["I need to maintain audit trails of all customer conversations for HIPAA/GDPR compliance","I want to automatically redact sensitive information (PII, payment data) from conversations","I need to generate compliance reports showing data access and retention for audits"],"best_for":["Healthcare organizations subject to HIPAA","Financial services firms subject to SOC 2 and regulatory audits","EU-based companies subject to GDPR data retention and access requirements"],"limitations":["Automatic PII redaction uses pattern matching and NLP; may miss context-specific sensitive information or produce false positives","Immutable audit logs require significant storage; retention of all conversation history for 7+ years may require multi-terabyte storage","Compliance features require manual configuration per regulation; no automated compliance rule engine","Data residency requirements (e.g., GDPR data must stay in EU) require separate infrastructure; may not be supported in all regions"],"requires":["Compliance module enabled in SYNQ account","Configured data retention policies and redaction rules","Optional: HIPAA Business Associate Agreement (BAA) or GDPR Data Processing Agreement (DPA)","Audit log storage with sufficient capacity for retention period"],"input_types":["all conversation messages and metadata","user access logs","system configuration changes","data enrichment queries"],"output_types":["immutable audit logs (JSON/CSV export)","redacted conversation exports","compliance reports (HIPAA, GDPR, SOC 2 format)","data access reports"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_synq__cap_8","uri":"capability://text.generation.language.intelligent.conversation.summarization.and.insight.extraction","name":"intelligent conversation summarization and insight extraction","description":"Automatically generates summaries of conversations using abstractive summarization models and extracts key insights (action items, decisions, customer sentiment, next steps). Uses transformer-based language models to condense multi-turn conversations into concise summaries and identify entities (customer requests, product mentions, issues) and sentiment signals without manual annotation.","intents":["I want automatic summaries of long customer conversations without reading the full thread","I need to extract action items and decisions from conversations automatically","I want to identify customer sentiment and pain points from conversation content"],"best_for":["Support teams managing high-volume conversations","Sales teams tracking customer sentiment and deal progress","Customer success teams identifying at-risk accounts from conversation signals"],"limitations":["Summarization quality depends on conversation clarity and structure; rambling or unclear conversations may produce poor summaries","Sentiment analysis is coarse-grained (positive/negative/neutral); nuanced sentiment or sarcasm may be misclassified","Action item extraction relies on explicit language; implicit or indirect requests may be missed","Summarization latency adds 2-5 seconds per conversation; real-time summary generation not feasible for large conversations"],"requires":["Conversation text in supported language (English primary; other languages may have lower accuracy)","Sufficient conversation length (>3 messages) for meaningful summarization","Optional: custom summarization model fine-tuned on domain-specific conversations"],"input_types":["conversation message threads","conversation metadata (participants, duration)"],"output_types":["conversation summaries (text)","extracted action items (structured list)","sentiment scores (numeric, 0-1)","entity extraction results (customer requests, product mentions)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":37,"verified":false,"data_access_risk":"high","permissions":["Active accounts on at least one supported communication platform (Slack, Teams, Gmail, Outlook, etc.)","OAuth 2.0 or API token credentials for each platform to be consolidated","Network connectivity to SYNQ cloud infrastructure for real-time sync","Connected CRM system (Salesforce, HubSpot, Pipedrive, or custom API endpoint)","API credentials with read access to customer/contact records","Email domain or phone number matching rules configured to identify customers","Data warehouse or API endpoint returning customer records in <1 second for real-time injection","Active CRM account (Salesforce, HubSpot, Pipedrive) with API access","API credentials with read/write permissions to contacts, deals, and custom objects","Webhook endpoint configuration or OAuth token for event streaming"],"failure_modes":["Message synchronization latency depends on platform API rate limits; real-time sync may lag 30-60 seconds on high-volume accounts","Platform-specific rich formatting (threads, reactions, mentions) may not fully translate across all channel types","Requires OAuth or API token authentication for each connected platform; some legacy systems may not support modern auth methods","Enrichment accuracy depends on data quality in source systems; duplicate or incomplete CRM records may cause false matches or missing data","Real-time enrichment adds 200-500ms latency per message depending on data source API response time","Privacy-regulated industries (healthcare, finance) must implement additional compliance controls; automatic data injection may violate data minimization principles","Enrichment only works for contacts already in connected CRM; unknown senders receive no enrichment","Sync latency typically 30-120 seconds due to webhook delivery and batch processing; real-time bidirectional sync not guaranteed","Field mapping must be manually configured per CRM instance; custom fields require custom mapping logic","Conflicts in bidirectional sync (simultaneous updates in SYNQ and CRM) require conflict resolution rules; default behavior may overwrite data","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.2833333333333333,"quality":0.63,"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":"2026-05-24T12:16:33.648Z","last_scraped_at":"2026-04-05T13:23:42.562Z","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=synq","compare_url":"https://unfragile.ai/compare?artifact=synq"}},"signature":"mT+VvhdnGNV8yGUm+Cy2GeBdEUF2/7LlfPa5sgi4biLeggxIXZwidDMvpLWxMaIdNQ2d1iv4Pn0RlkZeDlVABA==","signedAt":"2026-06-21T18:16:29.999Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/synq","artifact":"https://unfragile.ai/synq","verify":"https://unfragile.ai/api/v1/verify?slug=synq","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"}}