Zerve Pricing & Plans 2026

Name: Zerve
Brand: Zerve
Availability: InStock

Complete pricing guide for Zerve. Compare all plans, analyze costs, and find the perfect tier for your needs.

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Zerve is worth it →

🆓Free Tier Available

💎4 Paid Plans

⚡No Setup Fees

Choose Your Plan

Pay As You Go

300 free Zerve credits to get started50 Zerve credits per monthUp to 4 editorsUnlimited public projects

✓Zerve Agent
✓Fleet parallel compute
✓Reusable environments
✓API builder and deployments
✓App builder and deployments
✓Scheduled jobs

Start Free Trial →

Pro

$18.75

250 Zerve credits per monthAdd-on Zerve credits in batches of 250 for $25Unlimited editors

✓Everything in Free
✓Self-hosting
✓Private projects
✓Watermark-free images
✓GPU compute
✓BYOK

Start Free Trial →

Team

$37.50

500 Zerve credits per monthAdd-on Zerve credits in batches of 500 for $50

✓Everything in Pro
✓Centralized billing
✓Usage and compute metrics
✓SSO

Start Free Trial →

Enterprise

Custom

Pooled creditsPooled add-on credits

✓Everything in Team
✓Multi-cloud hosting
✓On-premise air-gapped deployment
✓Dedicated support and account management
✓Invoicing and PO billing
✓Enterprise terms
✓Purchasable through AWS Marketplace

Contact Sales →

Pricing sourced from Zerve · Last verified March 2026

Feature Comparison

Features	Pay As You Go	Pro	Team	Enterprise
Zerve Agent	✓	✓	✓	✓
Fleet parallel compute	✓	✓	✓	✓
Reusable environments	✓	✓	✓	✓
API builder and deployments	✓	✓	✓	✓
App builder and deployments	✓	✓	✓	✓
Scheduled jobs	✓	✓	✓	✓
Everything in Free	—	✓	✓	✓
Self-hosting	—	✓	✓	✓
Private projects	—	✓	✓	✓
Watermark-free images	—	✓	✓	✓
GPU compute	—	✓	✓	✓
BYOK	—	✓	✓	✓
Everything in Pro	—	—	✓	✓
Centralized billing	—	—	✓	✓
Usage and compute metrics	—	—	✓	✓
SSO	—	—	✓	✓
Everything in Team	—	—	—	✓
Multi-cloud hosting	—	—	—	✓
On-premise air-gapped deployment	—	—	—	✓
Dedicated support and account management	—	—	—	✓
Invoicing and PO billing	—	—	—	✓
Enterprise terms	—	—	—	✓
Purchasable through AWS Marketplace	—	—	—	✓

Is Zerve Worth It?

✅ Why Choose Zerve

• The website example shows Zerve handling a complete analytical sequence: SQL extraction, pandas transformation, clustering with KMeans, and Plotly chart generation in one workflow.
• The canvas exposes step-level execution, with example timings of 0.3 seconds for load_data and 1.4 seconds for group_by_qtr, which is useful for debugging and repeatable analysis.
• Zerve supports natural-language refinement of analysis outputs, such as asking the AI agent to add axis labels and a title after generating a Q1 vs Q2 regional revenue chart.
• The displayed workflow works with structured tabular data, including a 42-row, 3-column result set with date, revenue, and region fields.
• The product is explicitly framed for Data Scientist, Analyst, and Researcher users, making it more focused than a generic AI assistant.
• The interface includes project, deployment, schedule, and report concepts, which suggests it is designed for operationalizing analysis rather than only ad hoc exploration.

⚠️ Consider This

• Enterprise pricing is custom, so larger buyers still need to contact sales to confirm contract terms, pooled credits, support levels, and procurement options.
• No customer count, founding year, security certifications, or compliance details are visible in the provided website content.
• The example demonstrates a small 42-row result set, so buyers should validate performance on larger warehouse-scale datasets before committing.
• The public content shown does not list specific integrations, supported data warehouses, version-control options, or deployment targets.
• Teams that only need static dashboards may find the agentic canvas more complex than a traditional BI tool.

What Users Say About Zerve

👍 What Users Love

✓The website example shows Zerve handling a complete analytical sequence: SQL extraction, pandas transformation, clustering with KMeans, and Plotly chart generation in one workflow.
✓The canvas exposes step-level execution, with example timings of 0.3 seconds for load_data and 1.4 seconds for group_by_qtr, which is useful for debugging and repeatable analysis.
✓Zerve supports natural-language refinement of analysis outputs, such as asking the AI agent to add axis labels and a title after generating a Q1 vs Q2 regional revenue chart.
✓The displayed workflow works with structured tabular data, including a 42-row, 3-column result set with date, revenue, and region fields.
✓The product is explicitly framed for Data Scientist, Analyst, and Researcher users, making it more focused than a generic AI assistant.
✓The interface includes project, deployment, schedule, and report concepts, which suggests it is designed for operationalizing analysis rather than only ad hoc exploration.

👎 Common Concerns

⚠Enterprise pricing is custom, so larger buyers still need to contact sales to confirm contract terms, pooled credits, support levels, and procurement options.
⚠No customer count, founding year, security certifications, or compliance details are visible in the provided website content.
⚠The example demonstrates a small 42-row result set, so buyers should validate performance on larger warehouse-scale datasets before committing.
⚠The public content shown does not list specific integrations, supported data warehouses, version-control options, or deployment targets.
⚠Teams that only need static dashboards may find the agentic canvas more complex than a traditional BI tool.

Pricing FAQ

What does Zerve actually do?

Zerve is an agentic data platform for turning data requests into executable analysis workflows. In the website example, a user asks the Zerve AI Agent to visualize revenue by region for Q1 versus Q2, and the system generates a grouped bar chart using Plotly. The same example shows SQL querying, pandas transformations, KMeans clustering with n_clusters=4, and a visual output, so it is aimed at practical data science work rather than only text summaries.

Who is Zerve best suited for?

The website directly prompts users to try Zerve as a Data Scientist, Analyst, or Researcher. It is best suited for teams that already work with structured data, code, charts, and repeatable analytical workflows. Compared to many general AI assistants in our directory, Zerve is more specialized for data workflows that combine SQL, Python, visualization, reporting, and deployment.

Does Zerve support code-based analysis?

Yes, the provided website content shows code-based workflows. The sample workflow includes SQL against a sales_fact table, pandas code that converts a date field into a quarter, a KMeans model using n_clusters=4, and Plotly Express code for a grouped bar chart. This indicates that Zerve is designed to assist with executable analytical code, not just natural-language interpretation.

Is Zerve free?

Yes. Zerve lists a Pay As You Go plan at $0 with 300 free Zerve credits to get started, then 50 Zerve credits per month, up to 4 editors, unlimited public projects, the Zerve Agent, Fleet parallel compute, reusable environments, API builder and deployments, app builder and deployments, and scheduled jobs. Paid tiers include Pro at $18.75 per user/month when billed annually, Team at $37.50 per user/month when billed annually, and custom Enterprise pricing.

How does Zerve compare with notebooks or BI dashboards?

Zerve appears to sit between notebooks, BI dashboards, and AI agents. The canvas shows named workflow steps such as load_data, group_by_qtr, filter_nulls, and visualise, while the AI agent helps generate and revise the code-backed analysis. If your team wants a simple static dashboard, a BI tool may be enough; if you need AI-assisted exploration, code generation, and deployable analytical workflows, Zerve is a closer fit.

Ready to Get Started?

AI builders and operators use Zerve to streamline their workflow.

Try Zerve Now →

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Zerve Pricing & Plans 2026

Complete pricing guide for Zerve. Compare all plans, analyze costs, and find the perfect tier for your needs.

🆓Free Tier Available

💎4 Paid Plans

⚡No Setup Fees

Choose Your Plan

Pay As You Go

300 free Zerve credits to get started50 Zerve credits per monthUp to 4 editorsUnlimited public projects

✓Zerve Agent
✓Fleet parallel compute
✓Reusable environments
✓API builder and deployments
✓App builder and deployments
✓Scheduled jobs

Start Free Trial →

Pro

$18.75

250 Zerve credits per monthAdd-on Zerve credits in batches of 250 for $25Unlimited editors

✓Everything in Free
✓Self-hosting
✓Private projects
✓Watermark-free images
✓GPU compute
✓BYOK

Start Free Trial →

Team

$37.50

500 Zerve credits per monthAdd-on Zerve credits in batches of 500 for $50

✓Everything in Pro
✓Centralized billing
✓Usage and compute metrics
✓SSO

Start Free Trial →

Enterprise

Custom

Pooled creditsPooled add-on credits

✓Everything in Team
✓Multi-cloud hosting
✓On-premise air-gapped deployment
✓Dedicated support and account management
✓Invoicing and PO billing
✓Enterprise terms
✓Purchasable through AWS Marketplace

Contact Sales →

Pricing sourced from Zerve · Last verified March 2026

Feature Comparison

Features	Pay As You Go	Pro	Team	Enterprise
Zerve Agent	✓	✓	✓	✓
Fleet parallel compute	✓	✓	✓	✓
Reusable environments	✓	✓	✓	✓
API builder and deployments	✓	✓	✓	✓
App builder and deployments	✓	✓	✓	✓
Scheduled jobs	✓	✓	✓	✓
Everything in Free	—	✓	✓	✓
Self-hosting	—	✓	✓	✓
Private projects	—	✓	✓	✓
Watermark-free images	—	✓	✓	✓
GPU compute	—	✓	✓	✓
BYOK	—	✓	✓	✓
Everything in Pro	—	—	✓	✓
Centralized billing	—	—	✓	✓
Usage and compute metrics	—	—	✓	✓
SSO	—	—	✓	✓
Everything in Team	—	—	—	✓
Multi-cloud hosting	—	—	—	✓
On-premise air-gapped deployment	—	—	—	✓
Dedicated support and account management	—	—	—	✓
Invoicing and PO billing	—	—	—	✓
Enterprise terms	—	—	—	✓
Purchasable through AWS Marketplace	—	—	—	✓

Is Zerve Worth It?

✅ Why Choose Zerve

• The website example shows Zerve handling a complete analytical sequence: SQL extraction, pandas transformation, clustering with KMeans, and Plotly chart generation in one workflow.
• The canvas exposes step-level execution, with example timings of 0.3 seconds for load_data and 1.4 seconds for group_by_qtr, which is useful for debugging and repeatable analysis.
• Zerve supports natural-language refinement of analysis outputs, such as asking the AI agent to add axis labels and a title after generating a Q1 vs Q2 regional revenue chart.
• The displayed workflow works with structured tabular data, including a 42-row, 3-column result set with date, revenue, and region fields.
• The product is explicitly framed for Data Scientist, Analyst, and Researcher users, making it more focused than a generic AI assistant.
• The interface includes project, deployment, schedule, and report concepts, which suggests it is designed for operationalizing analysis rather than only ad hoc exploration.

⚠️ Consider This

• Enterprise pricing is custom, so larger buyers still need to contact sales to confirm contract terms, pooled credits, support levels, and procurement options.
• No customer count, founding year, security certifications, or compliance details are visible in the provided website content.
• The example demonstrates a small 42-row result set, so buyers should validate performance on larger warehouse-scale datasets before committing.
• The public content shown does not list specific integrations, supported data warehouses, version-control options, or deployment targets.
• Teams that only need static dashboards may find the agentic canvas more complex than a traditional BI tool.

What Users Say About Zerve

👍 What Users Love

✓The website example shows Zerve handling a complete analytical sequence: SQL extraction, pandas transformation, clustering with KMeans, and Plotly chart generation in one workflow.
✓The canvas exposes step-level execution, with example timings of 0.3 seconds for load_data and 1.4 seconds for group_by_qtr, which is useful for debugging and repeatable analysis.
✓Zerve supports natural-language refinement of analysis outputs, such as asking the AI agent to add axis labels and a title after generating a Q1 vs Q2 regional revenue chart.
✓The displayed workflow works with structured tabular data, including a 42-row, 3-column result set with date, revenue, and region fields.
✓The product is explicitly framed for Data Scientist, Analyst, and Researcher users, making it more focused than a generic AI assistant.
✓The interface includes project, deployment, schedule, and report concepts, which suggests it is designed for operationalizing analysis rather than only ad hoc exploration.

👎 Common Concerns

⚠Enterprise pricing is custom, so larger buyers still need to contact sales to confirm contract terms, pooled credits, support levels, and procurement options.
⚠No customer count, founding year, security certifications, or compliance details are visible in the provided website content.
⚠The example demonstrates a small 42-row result set, so buyers should validate performance on larger warehouse-scale datasets before committing.
⚠The public content shown does not list specific integrations, supported data warehouses, version-control options, or deployment targets.
⚠Teams that only need static dashboards may find the agentic canvas more complex than a traditional BI tool.