Experiential Labs vs ZeroClick: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Experiential Labs and ZeroClick — 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.
ZeroClick
ZeroClick
Storefront and payment layer that turns any API or product into a service AI agents can discover, pay for with x402 or MPP, and use.
Key features
- Machine-Readable Storefront: Every seller gets a hosted pay URL that agents read directly to discover available services, plans, and prices without a human-facing web page.
- x402 and MPP Payment Rails: Agents pay through the x402 and MPP protocols, with settlement to the seller's connected Stripe account in either fiat or USDC.
- On-the-Spot Wallet Creation: If a buying agent arrives without a wallet, ZeroClick provisions one during the transaction instead of failing the purchase.
- Agent Identity and Verification: Every agent is given an identifier and verified before a call is signed and forwarded, and every call is logged for tracking and abuse prevention.
- Billing Guard SDKs: Seller SDKs for TypeScript, Python, Go, and Ruby implement the verify-check-allowance-serve-settle contract, with a REST walkthrough for custom integrations.
- Flexible Plan and Meter Model: Services are billed through meters and plans supporting pay-as-you-go, credits, subscription, or subscription-plus-usage, with a pre-request allowance check.
- Agent Index Registration: ZeroClick publishes seller services to the major agent indexes so buying agents can discover them without a direct integration.
- Transaction Analytics Dashboard: Transaction-level reporting on agent traffic, origin platforms and models, payment-method split across x402, MPP, USDC and fiat, and per-service conversion rates.
Best for
- API Monetization for Agents: Putting an existing data, enrichment, or generation API behind a pay URL so autonomous agents can buy calls without a human signup flow.
- Agentic Commerce Readiness: Making an existing product purchasable by shopping assistants as agent-driven traffic replaces human browsing.
- Usage-Based Metering: Charging agents per request or per output token through meters and allowances rather than fixed seats.
- Agent Traffic Analytics: Understanding which agent platforms and models are driving purchases, and which services convert best with them.
- Crypto and Fiat Settlement: Accepting USDC from wallet-native agents while still settling into a conventional Stripe account.
- Enterprise Agent Sales Governance: Running agent-facing sales with roles, permissions, pricing controls, SSO/SAML, and a per-call audit log across a team.