Agentic Index

Day AI vs HubSpot (2026)

Day.ai and HubSpot frame the AI native challenger versus incumbent CRM question: Day is a CRM rebuilt around AI from scratch, capturing and organizing customer context automatically, with a pricing page whose rates were not retrievable and third party estimates conflicting between about thirty dollars per user and custom pricing above one hundred, while HubSpot layers Breeze agents on its established platform with outcome pricing, fifty cents per resolved conversation and a dollar per qualified lead, requiring a Professional or Enterprise Hub. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Startups betting on an AI first CRM evaluate Day; teams on HubSpot get agent leverage without migration.

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Day AI and HubSpot are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Day AI if

  • An AI native CRM without legacy data entry is the bet you want to make.
  • Automatic context capture beats configuring a traditional CRM.
  • You are early enough that CRM migration cost is trivial.

Choose HubSpot if

  • Your CRM gravity is already HubSpot and agents extend it.
  • Outcome pricing per conversation and lead ties spend to results.
  • A mature ecosystem and support organization derisk the platform.
Feature
D
Day AI
H
HubSpot
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.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

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.

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.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

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.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
D
Day AI
H
HubSpot

Entry price

Lowest public entry point

Free at $0. Turbo $24 per agent a month, Professional $60 and Executive $200, with 20% off annual billing. Free for up to 2 users. Starter from $7 per seat per month on an annual commitment, or $20 monthly. Professional from $1,300 per month including 6 seats, and Enterprise from $4,700 per month including 8 seats.

Pricing confidence

How public the numbers are

Public, exact Public, exact

Billing

Primary billing axis

Per agent per month, with the tier set by the number of automated skill slots each agent gets. Seats on the edition subscription, plus HubSpot Credits that agents and many AI features draw per unit of work.

Variable cost

Workload / overage exposure

Medium variable cost High variable cost

Free tier / trial

Try before you buy

Free tier
Free tierTrial

Buying motion

Self-serve vs sales call

Self-serve Mixed

Day.ai's public rates were not retrievable and third party estimates conflict. Confirm current per user pricing directly.

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