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Audited 2026-08-09 · RXed table v1.0

monday.com

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“The AI work platform that turns strategy into execution, at scale” — the vendor’s own words

A genuinely rebuilt agent platform bolted onto a mature work-management core — strong governance and MCP support, but the AI still runs on borrowed frontier models and monday's own Q1 2026 earnings call described real agent/MCP usage as 'still not very significant numbers.'

Best for: Teams already running work management on monday who want to add lightweight, governed AI agents without adopting a separate AI platform — not a fit for teams that want to build or fine-tune their own models.
Scope15/20
Quality6/10
Where the quality sits
6Reactive
3Retrieval & Memory
7Orchestration
6Validation
6Models
Enterprise platformAutomation & AgentsProductivityMeeting NotetakersFreemium
Vendor
monday.com Ltd. · monday.com
Origin
Israel — Tel Aviv (dual HQ: New York)
Pricing
Free · Basic $9/seat/mo · Standard $12/seat/mo · Pro $19/seat/mo · Enterprise Custom
Users (official only)
Over 250,000 customers worldwide; 65,016 paid customers with more than 10 users, up 7% year-over-year (source, 2026-07-20)
FreeFreeup to 2 seats
Basic$9/seat/mobilled annually, 1,000 AI credits/mo
Standard$12/seat/mobilled annually, 2,000 AI credits/mo
Pro$19/seat/mobilled annually, 3,000 AI credits/mo
EnterpriseCustomcustom AI credits, contact sales

Official pricing page shows USD only; EUR figures are approximate conversions. AI credits are bundled per tier and consumed by AI Blocks, Sidekick, Vibe, agents and the Notetaker; additional credits purchasable separately at roughly $0.01/credit.

checked 2026-08-09 · vendor pricing page

Element scores

Reactive
Retrieval & Memory
Orchestration
Validation
Models
Primitives
Pr7
Prompts
Em3
Embeddings
Cx8
Context
Tr7
Tracing
Lg7
LLM
Compositions
Fc8
Function calling
Vx
Vector store
Rg7
RAG
Gr8
Guardrails
Mm7
Multimodal
Deployment
Ag8
Agents
Ft
Fine-tuning
Fw7
Frameworks & harnesses
Ev5
Evaluations
Sm
Small models
Emerging
Ma3
Multi-agent
Sy
Synthetic data
Pc7
Protocols
In
Interpretability
Th4
Thinking models
Tap or hover any element to see why it got that score.

Strengths

monday rebuilt itself in 2026 around agents rather than bolting AI on top: a no-code agent builder, a pre-built agent library, an open-source agent-toolkit SDK, and a hosted MCP server available on every plan at no extra cost. AI Governance gives admins real control — a master toggle, per-user/per-feature credit limits, and full agent audit trails.

Honest dings

Embeddings and vector search are internal-only (self-hosted Sentence Transformers) with no customer-facing API; no fine-tuning, small-model tier, or interpretability surface. On the Q1 2026 earnings call, monday's own leadership described MCP and agent adoption as 'still not very significant numbers.' AI credits meter on top of seat pricing, so real cost scales with usage, not just headcount.

Prices and details change — this passport is re-verified at least quarterly.
Sources (10) — every claim traceable

Every audit lists the research it rests on — transparency and traceability are the product. Tools evolve: each audit is a snapshot of its audit date, and re-audits supersede older versions (kept below for reference).