Cadenya vs Lensmor: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Cadenya and Lensmor — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Cadenya
Cadenya
A managed agent runtime that layers your tools, agents and objectives so teams can test agent behavior safely and iterate fast.
Key features
- Unified Tool Layer: Connect MCP servers, OpenAPI specs and existing endpoints once, and expose them to every agent through a single managed interface.
- Model-Agnostic Variations: Set a default model and run canary variations on other providers side by side to compare behaviors before promoting a change.
- Progressive Tool Discovery: Tool schemas stay out of the context window until an agent asks for them, with configurable max tools per search, search hints and a rerank threshold, so every request gets smaller.
- Live Token Metering: Track cost as it accrues across loops, active variations, memory entries and widgets, so usage is visible rather than discovered on the invoice.
- Webhooks and SSE Streaming: Push agent events — assistant messages, tool results, approval requests, sub-agent spawns, compaction, timeouts — into your own apps in real time.
- Memory Layers: Attach stored documents such as playbooks and policy sets to an agent so its guidance persists across objectives.
- Outcome Feedback Scoring: Collect scored comments on each objective, attributed to the variation and model that produced it, to see which behaviors actually work.
- Embeddable Widgets: Drop an agent experience into any frontend as a widget rather than building the conversational surface yourself.
Best for
- Operational Exception Handling: Run an agent that detects stalled shipments or orders and reroutes them through your dispatch API within policy.
- Safe Model Migration: Evaluate a new frontier model as a canary variation against live objectives before switching the default.
- Wrapping Existing APIs: Turn internal OpenAPI endpoints into agent-callable tools without rewriting the services behind them.
- Embedding Agent Chat in a Product: Ship a conversational agent surface into an existing frontend using widgets instead of building it in-house.
- Cost Control at Scale: Use progressive discovery and live metering to keep context size and per-loop cost down as agent traffic grows.
- Agent Quality Review: Compare scored feedback across variations to understand which prompt or model changes improved real outcomes.
Lensmor
Lensmor
Event intelligence platform that profiles trade-show exhibitors and attendees, delivering verified contacts and real-time intent signals for B2B teams.
Key features
- Exhibitor Intelligence: Provides structured exhibitor profiles (industry, headcount, tech stack, funding stage) to help teams identify companies exhibiting at specific trade shows and match to ICPs.
- Verified Contacts: Delivers validated attendee and exhibitor email addresses and contact details to reduce bounce rates and improve outreach deliverability.
- Real-Time Intent Signals: Scans budget and intent indicators tied to events to prioritize high-value prospects and detect readiness to engage before the show.
- Event Discovery & Calendar: Global trade-show discovery with searchable dates, locations, industries, and tiers to select the right events for pipeline generation.
- Pre-Show Tools & Playbooks: Offers free tools (ROI calculator, ICP matcher, badge qualifier, floor-plan extractor) and templated playbooks for pre-show outreach and on-site execution.
- API & Developer Resources: Public API documentation and GitHub repositories enable programmatic access to event, exhibitor, and contact data for integration and automation.
- Lead Prioritization & Matching: ICP-matching and scoring capabilities to generate prioritized lists of exhibitors/attendees for targeted campaigns and sequences.
- Global trade-show calendar and open dataset (dates, locations, industries)
- Exhibitor profiling with firmographics (industry, headcount, tech stack, funding stage)
- Verified contact email delivery for attendees and exhibitors
- Real-time budget and intent signals to surface buying intent
- Official API for programmatic access to trade-show, exhibitor and contact data
- Open-source tooling and playbooks (ROI playbook, email/linkedin templates, event tools)
- No-code / low-code integrations: OpenClaw skills and agent examples, Claude plugin reference
- AI-powered utilities: ROI calculator, ICP matcher, badge qualifier, floor-plan extractor
- Freemium web dashboard for discovery and pre-show lead workflows
Best for
- Pre-Show Prospecting: Research upcoming trade shows to build targeted prospect lists of exhibitors and attendees with verified emails and intent signals for outreach campaigns.
- Exhibitor Qualification: Profile competitor or partner exhibitors by industry, headcount, and tech stack to inform booth strategy and onsite engagement plans.
- Targeted Outreach Sequences: Use verified contacts and ICP matches to craft pre-show invites, onsite meeting requests, and post-show follow-ups with higher conversion rates.
- ROI & Event Selection: Apply the ROI calculator and event discovery data to choose the right shows and budget resources for maximum return on investment.
- Automation & Integration: Integrate Lensmor's API into CRM or engagement workflows to automate lead enrichment, scoring, and export for sales sequences.
- Onsite Execution Planning: Extract floor plans and badge qualifiers to optimize booth staffing, schedule demos, and prioritize high-intent attendees during the event.
- Pre-show prospecting: discover shows, identify exhibitor matches and obtain verified contact emails
- Exhibitor research: analyze competitor/exhibitor profiles and tech stacks prior to events
- Outbound campaigns: generate targeted pre-show invites and onsite follow-ups using templates
- Event selection: filter and prioritize trade shows by industry, region, and tier
- Lead enrichment and intent scoring: combine contact data with budget signals for prioritization
- Automation & agents: integrate with conversational agents or automation platforms via API/OpenClaw skills