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Deepnote logo

Deepnote

Not Agent-Ready Yet
Agent-Ready SaaS Index · deepnote.com · scored 2026-05-09 · rubric v2.0
Score 44 / 100
IDE
Free tier
Public API

Deepnote scores 44/100 on xpay's Agent-Ready Index v2: partial pricing visibility; self-serve checkout is available; a free entry path exists.

See Deepnote pricing summaryLive pricing page
Pricing
Deepnote pricing
As of 2026-05-09 · deepnote.com/pricing
Free
Free
Up to 3 editors
Up to 5 projects
Unlimited Basic machines (5 GB RAM, 2 vCPU)
7‑day revision history
Team
$39/user/mo
or $31.2/user/mo billed annually
Unlimited viewers & notebooks
Unlimited Deepnote AI
Premium integrations
Background execution
Scheduled notebooks
Enterprise
Sales
Contact sales
Custom contract & invoice
Priority support
Dedicated success manager
Permission groups
SSO & directory sync
Score breakdown · rubric v2.0
How Deepnote scores on the agent-ready dimensions

Public pricing visibility

15 / 15

Self-serve checkout

15 / 15

Public API + docs

0 / 20

Usage-based / metered pricing

0 / 20

Free entry path

7 / 7

No sales call required

2 / 7

Card / wallet / x402 payment

5 / 6

Machine-readable bonus (MCP / OpenAPI)

0 / 10


Total
44 / 100
Effective pricing
What it actually costs at typical scale
5 editors, Team plan billed annually
$156/mo
· 5 editors· Annual billing (20% discount)
Confidence: high
1 editor, Team plan billed monthly
$39/mo
· 1 editor· Monthly billing
Confidence: high
Agent purchase verdict
Can an autonomous agent transact here?
Agent-ready
LLM score: 70/100

Can create account

Yes

Can enter payment method

Yes

Can upgrade plan

Yes

Can buy more usage

Yes

Can cancel online

Yes


Payment methods

card
invoice

Human approval recommended

No

Pricing transparency

partial

Purchase motion

self_serve

Demo required

Unknown

Quote required

Yes


Annual commit required

Unknown

Auto-renewal mentioned

No

Cancellation policy visible

No

Refund policy visible

No


Invoice payment available

Yes

Purchase orders supported

Yes

MSA required

Yes

DPA available

Yes

Security review required

Yes


Trial

14 days (no card)

Annual discount

20% off

Enterprise signals
Trust & compliance

Certifications

SOC2
HIPAA

SSO / SAML

Yes

RBAC

Yes

Audit logs

Yes

Data residency

US

Competitive intel
Positioning & ecosystem
Headline

“Scale your team with the perfect plan.”

Buyer persona

smb
mid market
enterprise
developer

Replaces / compared against
Jupyter
Google Colab
Databricks
AWS SageMaker
Integrations mentioned
PostgreSQL
Snowflake
GitHub
Agent purchase simulation
Six-step check: can an agent actually buy from Deepnote?
✓

Discover price

✓

Select a plan

✗

Pay per task

✓

Avoid a sales call

✗

API docs without auth

✗

Estimate cost upfront

Analysis
Pros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-06. Not a review of the product — only of its current pricing posture for agent buyers.
✓ For an AI agent
  • Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
  • Every advertised tier is self-serve; no tier requires scheduling a call.
  • A free tier exists, lowering the bar for an agent builder to prototype before committing budget.
◐ Opportunities for the provider
  • No per-unit price was advertised, so an agent has no way to estimate the cost of a single task.
  • API documentation is gated or absent; an agent cannot inspect the integration surface without authentication.
  • No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
One-line fix
How Deepnote could lift its score

Add a per-unit price (e.g. $X / 1K calls) to the pricing page so an agent can compute its own cost before committing.

pricing_visible

true

headline_phrasing

Scale your team with the perfect plan. — Read about the future of data platforms

tier_count

1

lowest_paid_entry_usd

112

free_tier

true

free_tier_terms

null

per_unit_price

null

annual_required

false

self_serve_paid_tiers

0

sales_only_tiers

1

public_api_docs_url

https://deepnote.com/docs/getting-started

api_docs_auth_walled

false

ai_pricing_json_present

false

agents_txt_present

false

anonymous_purchase_path

false

per_unit_classification

null

usage_headline_present

false

custom_tier_present

true

agent_friendly

{"ai_pricing_json":false,"agents_txt":false,"llms_txt":false,"sitemap_xml":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false}

View raw extracted page text →
Page heading: Scale your team with the perfect plan. · Compare plans
CTAs (40): Deepnote is now open-source! Star us on GitHub ⭐️ · Platform · Read the manifesto→ · Deepnote AIHotImprove productivity · Data apps & dashboardsShare your insights · Python & SQLAdvanced analytics · AlertsMonitor your metrics · Semantic layerModules, LookML and dbt · IntegrationsWork with any data source · ETL/ELT pipelinesData transformation · Data catalogDocument data assets · Spark and SnowparkHigh perf. computing
Price tokens (4): $39 · $280 · $50 · $112/month worth
Deepnote is now open-source! Star us on GitHub ⭐️ PlatformThe notebook manifestoRead about the future of data platformsRead the manifesto→Data analyticsDeepnote AIHotImprove productivityData apps & dashboardsShare your insightsPython & SQLAdvanced analyticsAlertsMonitor your metricsSemantic layerModules, LookML and dbtIntegrationsWork with any data sourceData engineeringETL/ELT pipelinesData transformationData catalogDocument data assetsSpark and SnowparkHigh perf. computingCode reviewsCatch bugs earlyHistory & versioningGo back in timeSecurity & auditingSOC2, HIPAA, and moreMachine learningModel trainingBuild new modelsModel servingServe from a notebookModel monitoringAnd analyticsGPUsPowerful hardwareWe ship fast, see what's on our roadmap ->CustomersBy industrySee more case studies ->Fintech & FinanceBiotechnologyGamingEnterpriseStartupsResearchUse casesSee the most common ways 500,000+ data pros use Deepnote to solve hardest problems.See more ->See how to use Deepnote in educationResourcesChangelogWe ship fast ⚡RoadmapWhat's coming next?BlogThoughts on dataData appsExplore what you can buildComparisonsExplore the data spaceGuidesTutorials & how-tosCompare Deepnote...vs Jupytervs Google Colabvs Hyperqueryvs Databricksvs AWS SageMakervs Lookervs Vertex AISee all comparisons ->DocsPricingEnterpriseBook a demoGet startedScale your team with the perfect plan.Teams that rely on DeepnoteYearlyMonthlyFreeA free version for aspiring data analysts and scientists.FreeforeverGet star…
You work at Deepnote?
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Agent-Ready Spec
Deepnote
Not Agent-Ready Yet

44

/ 100 (rubric v2.0)

Category

IDE

Pricing model

Scale your team with the perfect plan. — Read about the future of data platforms

Tier count

1

Free tier

Yes

Lowest paid entry

$112/mo

Self-serve / sales-only tiers

0 / 1


Public API docs

Public

Anonymous purchase path

No

Machine-readable pricing

Not published


Last refreshed

2026-05-09

Pricing intelligenceInsights extracted from deepnote.com/pricing
Pricing model

Tier-based subscription

Agent-purchase verdict
Agent-ready
70/100 · v2.1
Canonical answer

Deepnote pricing starts at $0/mo for the Free plan; the Team plan costs $39 per editor per month (or $31.20/mo when billed annually). Billed monthly or annually.

Cheapest entry

Free plan (Free)

Actions
Open live pricing page
Verdict reflects Not Agent-Ready Yet status under rubric v2.0. Source observed at https://deepnote.com/pricing.
Agent-friendly features1 of 7 present
Discovery files and protocols
Side-channel signals — informational, not part of the score. Each protocol is independent; adoption signals the publisher is thinking about agent buyers.

ai-pricing.json

agents.txt

llms.txt

sitemap.xml

MCP Server Card

Agent Skills

x402 / MPP

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