Agentic Index
Day AI vs Rox (2026)
Day.ai and Rox are two of the most ambitious rethinks of revenue software, attacking from different layers: Day rebuilds the CRM itself around AI, automatically capturing customer context, with a pricing page whose rates were not retrievable and conflicting third party estimates from about thirty dollars per user to custom above one hundred, while Rox leaves your warehouse as the source of truth and deploys an agent swarm on top, free Starter for individuals with pay for actions and white glove enterprise deployment, detailed pricing not public. Teams replacing their CRM outright evaluate Day; teams keeping the warehouse and adding agent leverage evaluate Rox.
| At a glance | Day AI | Rox |
|---|---|---|
| Category | GTM / revenue agent | GTM / revenue agent |
| Entry price | Pricing page exists but rates were not retrievable; third party estimates conflict, from about thirty dollars per user per month to custom pricing above one hundred dollars per user | Free Starter ($0, individuals, limited) · hybrid PLG + sales-led · pay-only-for-actions + full-service enterprise deployment · detailed pricing not public |
| Free / trial | One third party review describes a limited preview tier; not confirmed on retrieved official pages | Free Starter plan ($0) for individuals with limited features (light pipeline generation). Self-serve start now, skip demos entry available. |
| Pricing confidence | contact only | contact only |
| Feature |
D
Day AI
|
R
Rox
|
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Partial |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Partial | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
No / Not documented | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
No / Not documented | No / Not documented |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
No / Not documented | No / Not documented |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
No / Not documented | No / Not documented |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
D
Day AI
|
R
Rox
|
|---|---|---|
|
Entry price Lowest public entry point |
Pricing page exists but rates were not retrievable; third party estimates conflict, from about thirty dollars per user per month to custom pricing above one hundred dollars per user | Free Starter ($0, individuals, limited) · hybrid PLG + sales-led · pay-only-for-actions + full-service enterprise deployment · detailed pricing not public |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
per user subscription per conflicting third party estimates; official structure not retrieved | Hybrid: free Starter for individuals; pay-only-for-actions usage-based paid model; full-service enterprise deployment quoted via sales |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
No free tier
|
Free tierTrial
|
|
Buying motion Self-serve vs sales call |
Mixed | Self-serve |
Choose Day AI if
- Replacing the CRM with an AI native system is the actual project.
- Automatic context capture is the productivity unlock you want.
- A per user SaaS model fits your procurement.
Choose Rox if
- Your data warehouse should stay the source of truth.
- An agent swarm on existing data avoids a migration entirely.
- Action based economics appeal over per user licenses.
Neither vendor's full pricing is public and Day.ai estimates conflict. Confirm current rates directly.