{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_trellus","slug":"trellus","name":"Trellus","type":"product","url":"https://www.trellus.ai","page_url":"https://unfragile.ai/trellus","categories":["automation"],"tags":[],"pricing":{"model":"freemium","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_trellus__cap_0","uri":"capability://planning.reasoning.intelligent.lead.prioritization.and.queuing","name":"intelligent-lead-prioritization-and-queuing","description":"Dynamically ranks and sequences leads in the call queue based on AI-derived signals including contact recency, engagement history, likelihood-to-connect scoring, and time-zone optimization. The system continuously re-orders the queue during active dialing sessions to surface highest-probability contacts, reducing idle time between calls and improving connection rates without manual rep intervention.","intents":["I want my SDRs to spend less time on unresponsive leads and more time on high-probability contacts","I need to maximize connection rates per hour without requiring reps to manually sort through lead lists","I want to optimize call timing based on contact availability patterns and time zones"],"best_for":["SDR teams with 10-50 reps managing lists of 500+ leads","Sales organizations seeking to reduce dial-to-connect ratios without hiring additional staff","Teams using CRM systems with historical engagement data"],"limitations":["Prioritization accuracy depends on data quality in upstream CRM — garbage contact data produces poor rankings","No built-in A/B testing framework to validate whether prioritization actually improves team outcomes","Freemium tier likely limits historical data window used for scoring, reducing model accuracy"],"requires":["Active CRM integration (Salesforce, HubSpot, or similar) with contact records","Minimum 50+ historical call records per lead segment for model training","Call outcome data (connected, voicemail, no-answer) fed back into system"],"input_types":["structured contact records (name, phone, company, last contact date)","historical call outcomes (connected, voicemail, busy, invalid)","engagement signals (email opens, website visits, prior conversations)"],"output_types":["ranked lead queue (ordered list with confidence scores)","call-ready contact with optimal timing recommendation"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_trellus__cap_1","uri":"capability://automation.workflow.automated.voicemail.detection.and.skip.tracing","name":"automated-voicemail-detection-and-skip-tracing","description":"Detects voicemail greetings in real-time using audio pattern recognition and acoustic models, automatically logging the call as voicemail and triggering skip-tracing workflows to surface alternative contact methods (mobile numbers, email, LinkedIn). The system maintains a skip-trace database of enriched contact alternatives and can automatically dial secondary numbers or queue alternative outreach channels without rep intervention.","intents":["I want to avoid wasting time listening to voicemail greetings and get reps to the next lead faster","I need alternative contact methods when primary numbers reach voicemail","I want to automatically try secondary phone numbers without manual lookup"],"best_for":["High-volume SDR teams making 100+ dials per day","Organizations with access to third-party skip-trace data providers","Teams willing to trade some false-positive voicemail detections for time savings"],"limitations":["Voicemail detection accuracy typically 85-92% — some live calls misclassified as voicemail, some voicemails missed","Skip-trace enrichment depends on third-party data provider availability and freshness — not all numbers have alternative contact methods","Freemium tier likely limits skip-trace lookups per month, reducing utility for high-volume teams","No transparency on which skip-trace providers are used or data freshness guarantees"],"requires":["Audio input from live phone calls (requires telephony integration)","Integration with skip-trace API (likely third-party like Apollo, Hunter, or RocketReach)","CRM write-back capability to log alternative contact methods"],"input_types":["live audio stream from inbound/outbound calls","contact phone number for skip-trace lookup"],"output_types":["voicemail detection flag (boolean + confidence score)","alternative contact methods (mobile number, email, LinkedIn URL)","call disposition (voicemail, skip-traced, queued for retry)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_trellus__cap_2","uri":"capability://automation.workflow.auto.dialer.with.predictive.pacing","name":"auto-dialer-with-predictive-pacing","description":"Automatically dials leads from the prioritized queue using predictive pacing algorithms that estimate agent availability and adjust dial rate to minimize hold time and dead air. The system models average call duration, wrap-up time, and agent readiness to determine optimal dial-ahead rate, scaling from 1:1 (one dial per available agent) to 3:1 (three dials per agent) based on connection probability and team performance metrics.","intents":["I want to eliminate dead air time between calls without overwhelming my reps with simultaneous connections","I need the dialer to intelligently pace calls based on how quickly my team typically wraps up","I want to maximize dials per hour while keeping rep utilization above 80%"],"best_for":["SDR teams with 5-50 reps working structured shift hours","Organizations with predictable call duration patterns","Teams using Twilio, Vonage, or similar telephony APIs"],"limitations":["Pacing accuracy degrades with highly variable call durations (e.g., 30-second rejections mixed with 15-minute discovery calls)","No built-in handling for agent unavailability due to system issues, breaks, or side conversations — requires manual override","Freemium tier likely caps concurrent calls or dials per day, limiting real-world testing","Predictive model requires 2+ weeks of baseline performance data before optimization kicks in"],"requires":["Telephony provider integration (Twilio, Vonage, or carrier API)","Call outcome tracking (duration, disposition, wrap-up time)","Agent availability status feed (on-call, idle, busy, wrap-up)"],"input_types":["lead queue with contact phone numbers","agent availability status (real-time)","historical call duration and outcome data"],"output_types":["outbound call initiation (to PSTN or VoIP provider)","pacing recommendation (dial rate: 1:1, 1.5:1, 2:1, 3:1)","call routing to available agent"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_trellus__cap_3","uri":"capability://data.processing.analysis.call.outcome.logging.and.disposition.tracking","name":"call-outcome-logging-and-disposition-tracking","description":"Automatically captures call metadata (duration, disposition, timestamp, agent, lead ID) and logs outcomes to the connected CRM in real-time or near-real-time. Supports customizable disposition codes (e.g., 'connected', 'voicemail', 'busy', 'invalid', 'callback scheduled') and enables reps to quickly select disposition via UI or voice command, with automatic CRM field mapping to prevent manual data entry.","intents":["I want call outcomes automatically logged to CRM without reps manually entering data","I need standardized disposition tracking across my team to measure conversion rates","I want to avoid duplicate calls to the same contact by syncing call history in real-time"],"best_for":["Teams using Salesforce, HubSpot, or Pipedrive with CRM integration requirements","Organizations needing compliance-grade call logging (TCPA, GDPR)","Sales teams with 10+ reps where manual logging creates data quality issues"],"limitations":["CRM sync latency typically 5-30 seconds — not instantaneous, so duplicate calls possible in high-volume scenarios","Disposition codes must be pre-configured; no automatic inference of outcomes from call audio","Freemium tier likely limits historical call log retention (30-90 days vs. 1+ years for paid)","No built-in call recording or transcription — only metadata logging"],"requires":["CRM API credentials (Salesforce OAuth, HubSpot API key, etc.)","Telephony provider integration for call metadata capture","Custom field mapping configuration in CRM"],"input_types":["call metadata (duration, timestamp, agent ID, contact phone)","disposition selection (from rep or voice command)","optional: call notes or tags"],"output_types":["CRM activity record (call log entry)","updated contact record (last call date, disposition, next action)","team reporting dashboard (calls per rep, disposition breakdown)"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_trellus__cap_4","uri":"capability://data.processing.analysis.team.performance.analytics.and.reporting","name":"team-performance-analytics-and-reporting","description":"Aggregates call metrics (dials, connections, conversion rate, average handle time, calls per hour) at individual rep and team levels, generating dashboards and reports that surface performance trends, bottlenecks, and coaching opportunities. Uses time-series analysis to detect performance degradation and can trigger alerts when metrics fall below configurable thresholds (e.g., connection rate drops below 15%).","intents":["I want to see which reps are most productive and which need coaching","I need to track team-level KPIs (dials per hour, connection rate, conversion) in real-time","I want to identify trends (e.g., declining connection rates) and get alerted before they impact revenue"],"best_for":["Sales managers overseeing 5-50 SDRs","Organizations with data-driven coaching cultures","Teams using Salesforce or HubSpot for pipeline visibility"],"limitations":["Metrics depend on accurate call outcome logging — garbage data produces misleading reports","No built-in benchmarking against industry standards; comparisons are internal only","Freemium tier likely limits historical data retention and report granularity","No predictive forecasting (e.g., 'at current pace, you'll miss quota by X%')"],"requires":["Call outcome data (dials, connections, dispositions)","Agent time-tracking or CRM activity timestamps","Optional: CRM pipeline data for conversion rate calculation"],"input_types":["call metadata (duration, disposition, timestamp, agent ID)","agent activity logs (login/logout, idle time)","CRM opportunity data (for conversion metrics)"],"output_types":["dashboard with KPI cards (dials, connections, conversion rate)","time-series charts (performance trends over days/weeks)","rep leaderboards (ranked by dials, connections, conversion)","alert notifications (threshold breaches)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_trellus__cap_5","uri":"capability://data.processing.analysis.contact.list.import.and.management","name":"contact-list-import-and-management","description":"Supports bulk import of contact lists from CSV, Excel, or direct CRM sync (Salesforce, HubSpot), with automatic deduplication, validation, and normalization of phone numbers. The system detects and flags invalid numbers, duplicate entries, and opted-out contacts (via DNC list integration), allowing teams to clean lists before dialing without manual review.","intents":["I want to quickly upload a list of 1000+ leads without manually cleaning data","I need to automatically remove duplicates and invalid numbers before dialing","I want to ensure compliance by filtering out opted-out or DNC-listed contacts"],"best_for":["Sales teams with frequent list uploads (weekly or daily)","Organizations using Salesforce or HubSpot as lead source","Teams in regulated industries (finance, healthcare) requiring DNC compliance"],"limitations":["Phone number validation is format-based only — doesn't verify if number is actually active","DNC list integration depends on third-party provider (likely TCPA-compliant list); freshness and accuracy vary","Freemium tier likely limits list size (e.g., 500-1000 contacts per upload) and upload frequency","No built-in duplicate detection across multiple uploads — requires manual deduplication"],"requires":["CSV or Excel file with contact data (name, phone, company, etc.)","Optional: CRM API credentials for direct sync","Optional: DNC list provider API key (e.g., TCPA Safe Harbor list)"],"input_types":["CSV/Excel file with contact records","CRM API connection (Salesforce, HubSpot)","phone numbers in various formats (10-digit, E.164, etc.)"],"output_types":["validated contact list (deduplicated, normalized)","validation report (invalid numbers, duplicates, DNC matches)","ready-to-dial queue"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_trellus__cap_6","uri":"capability://automation.workflow.agent.availability.and.shift.management","name":"agent-availability-and-shift-management","description":"Tracks agent login/logout status, break time, and wrap-up time to maintain real-time availability state. Integrates with the predictive dialer to route calls only to available agents and prevents call overflow during breaks or shift changes. Supports configurable shift schedules and time-zone handling for distributed teams.","intents":["I want the dialer to only route calls to agents who are actually available","I need to manage shifts and breaks without manually toggling agent status","I want to prevent call overflow when agents are on break or wrapping up"],"best_for":["Teams with 5-50 agents working structured shifts","Distributed teams across multiple time zones","Organizations with high call volume requiring precise availability tracking"],"limitations":["Availability tracking depends on agent manually logging in/out — no automatic detection of AFK or system crashes","Wrap-up time estimation is average-based; doesn't account for variable call complexity","Freemium tier likely limits concurrent agents or shift configurations","No integration with calendar systems (Outlook, Google Calendar) for automatic break scheduling"],"requires":["Agent login/logout mechanism (web UI, soft phone, or API)","Call routing integration with telephony provider","Optional: shift schedule configuration (start time, end time, break times)"],"input_types":["agent login/logout events","call duration and wrap-up time data","shift schedule configuration"],"output_types":["real-time agent availability status (available, busy, wrap-up, break, offline)","call routing decision (route to available agent or queue)","shift compliance report (agents logged in during scheduled hours)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_trellus__cap_7","uri":"capability://automation.workflow.callback.scheduling.and.follow.up.automation","name":"callback-scheduling-and-follow-up-automation","description":"Allows reps to schedule callbacks directly during or after calls, with automatic CRM logging and queue management. The system tracks scheduled callbacks, sends reminders to reps before callback time, and can automatically re-dial contacts at scheduled times if reps are unavailable. Supports callback windows (e.g., 'call between 2-4 PM') and time-zone-aware scheduling.","intents":["I want reps to schedule callbacks without leaving the dialer interface","I need automatic reminders so callbacks don't get missed","I want to automatically re-dial contacts at scheduled times if reps are busy"],"best_for":["Teams with high callback volume (20%+ of calls)","Sales organizations with complex follow-up workflows","Distributed teams requiring time-zone-aware scheduling"],"limitations":["Callback reminders depend on rep availability — no guarantee rep will be available at scheduled time","Freemium tier likely limits scheduled callbacks per day or total callbacks in queue","No built-in escalation if callback is missed (requires manual follow-up)","Callback window scheduling is manual — no AI-based optimal timing suggestion"],"requires":["CRM integration for callback logging","Notification system (email, SMS, or in-app alerts)","Telephony provider integration for automatic re-dialing"],"input_types":["callback request (contact, preferred time, notes)","contact availability window (e.g., 2-4 PM EST)"],"output_types":["scheduled callback entry in CRM","callback reminder notification to rep","automatic re-dial initiation at scheduled time"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Active CRM integration (Salesforce, HubSpot, or similar) with contact records","Minimum 50+ historical call records per lead segment for model training","Call outcome data (connected, voicemail, no-answer) fed back into system","Audio input from live phone calls (requires telephony integration)","Integration with skip-trace API (likely third-party like Apollo, Hunter, or RocketReach)","CRM write-back capability to log alternative contact methods","Telephony provider integration (Twilio, Vonage, or carrier API)","Call outcome tracking (duration, disposition, wrap-up time)","Agent availability status feed (on-call, idle, busy, wrap-up)","CRM API credentials (Salesforce OAuth, HubSpot API key, etc.)"],"failure_modes":["Prioritization accuracy depends on data quality in upstream CRM — garbage contact data produces poor rankings","No built-in A/B testing framework to validate whether prioritization actually improves team outcomes","Freemium tier likely limits historical data window used for scoring, reducing model accuracy","Voicemail detection accuracy typically 85-92% — some live calls misclassified as voicemail, some voicemails missed","Skip-trace enrichment depends on third-party data provider availability and freshness — not all numbers have alternative contact methods","Freemium tier likely limits skip-trace lookups per month, reducing utility for high-volume teams","No transparency on which skip-trace providers are used or data freshness guarantees","Pacing accuracy degrades with highly variable call durations (e.g., 30-second rejections mixed with 15-minute discovery calls)","No built-in handling for agent unavailability due to system issues, breaks, or side conversations — requires manual override","Freemium tier likely caps concurrent calls or dials per day, limiting real-world testing","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"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":"2026-04-05T13:23:42.551Z","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=trellus","compare_url":"https://unfragile.ai/compare?artifact=trellus"}},"signature":"L4HhA5nS83BHIPP+KuszMvzN5JIvfZuf4fdVfqGLjHnYLuXwDelJM5Ug0sqLT9ylgRJ/bdfkT+Kbjy6RFCmvCw==","signedAt":"2026-06-22T16:24:44.418Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/trellus","artifact":"https://unfragile.ai/trellus","verify":"https://unfragile.ai/api/v1/verify?slug=trellus","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"}}