Experiential Labs vs Lensmor: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Experiential Labs and Lensmor — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Experiential Labs
Experiential Labs
Open-source AI gateway that routes every model through one endpoint at provider cost, then improves that traffic with caching, routing and fine-tuning.
Key features
- Unified Model Endpoint: One OpenAI-compatible POST endpoint fronts every hosted provider, your own bring-your-own keys and your own GPUs, so switching models is a parameter change rather than an integration.
- Zero-Markup Routed Tokens: Routed traffic bills at the provider's list price with 0% added on top, with the company earning on hosted inference and the Pro plan instead of on your tokens.
- Model Recommendation from Traffic: The intelligence layer watches real request patterns and tells you when switching models would win, including newly released models on the day they ship, with optional per-prompt optimization.
- Caching Opportunity Detection: Identifies where cache hit rate could improve and shows the projected savings, with repeated tokens returning at 90% off once enabled.
- Traffic-Trained Custom Models: Fine-tunes a model on your own traffic and proves it in closed-loop simulation before it ever serves, then exposes it through the same endpoint you already call.
- Spend Attribution Console: Breaks requests and dollars down by agent, person, model, provider and day across the whole organization, alongside catalog, usage and limits.
- Live Request Logs and Metrics: Streams per-request time-to-first-token, token counts, provider, status and cost, with dashboard rollups for requests, spend, p50 TTFT and cache hit rate.
- Governance Controls: Budgets, provider allowlists and attribution are available from the free tier upward for controlling who can spend what on which models.
Best for
- Consolidating Multi-Provider Access: Replace separate SDKs and keys for OpenAI, Anthropic, Google and others with a single endpoint and key across every application.
- Cutting Inference Spend: Use caching recommendations and model-switch suggestions to lower the cost of an existing production workload without changing application code.
- Replacing a Frontier Model with a Small One: Distill or fine-tune a small model on your own traffic for a narrow repetitive task and serve it at a fraction of frontier-model cost and latency.
- Chargeback and Budgeting: Attribute AI spend to individual agents, teams or people for internal cost allocation and to enforce per-key budget caps.
- Evaluating New Model Releases: Compare a newly shipped model against your current one on your own traffic before committing to a migration.
- Hybrid Local and Hosted Serving: Route some workloads to self-hosted GPUs at zero marginal cost while sending the rest to hosted providers through the same interface.
- Self-Hosting the Gateway: Run the open-source gateway inside your own infrastructure when hosted routing is not an option.
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