valv vs Count

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Data last refreshed October 2026

valv

Let your AI agent answer your product data questions.

Freemium

78% verification coverage

Count

Count Technologies Ltd

Making AI’s mistakes visible.

Freemium

80% verification coverage

Trust & Reliability

valv

GDPR

Count

Uptime:99.96%Status page

Customers (per vendor):Accenture, Bumble, Cleo +7

GDPR

SOC 2

HIPAA

Overall Winner: Count

6.6/10 vs valv at 5.0/10

Leads in:

Integration

Planning Quality

Customization

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

AI Comparison Summary

valv

5.0

avg score

Count

6.6

avg score

Count leads overall — particularly in Customization and Integration and 2 more.

Based on 7 dimensions

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Overall Winner

Count

6.6 / 10

valv

Best For

Founders and product teams needing quick answers from product data

Engineers who want to build with AI agents against real databases safely

Individuals and small teams needing governed agent access to data without coding

Teams looking to sync data workspaces without running a server

Count

Best For

Small teams needing to audit AI outputs for accuracy

Analysts building live reports and dashboards

Teams conducting exploratory data analysis

Researchers verifying facts from sales-call transcripts and surveys

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

valv is best for

🎨Image & Design7.0💻Coding & Dev6.0📊Data & Analytics5.2

Count is best for

🎨Image & Design8.0💻Coding & Dev7.7📊Data & Analytics7.3

Filter by your use case:

Limitations

valv

Cons

Business tier with cloud-managed access and control is coming soon
Queries behind an answer are clickable only in Valv's own chat, not in a terminal
Liability for slight negligence is limited to typical and foreseeable damage
Liability for data loss is limited to restoring from reasonable backups

Count

Cons

Free tier is limited to 1 project, 3 canvases, and 5 users
Free tier has daily AI credit limits and limited models
Free tier allows only 1 database/MCP connection and 2 automations
No model training on user data, which may limit custom model fine-tuning
Output generated by AI is error-prone and not verified by Count for accuracy
Count AI is not intended to substitute for properly trained and licensed individuals

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Customization5

Support5

Integration5

Compliance & Data Protection5

Performance5

Planning Quality5

Dimension Comparison

valv

5.0

/ 10

Count

6.6

/ 10

Clear winner

Dimension Breakdown

Ease of Use

How intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?

valv

5.0

Count

6.0▲ +1.0

Customization

Calculated

How much can users tailor workflows, settings, prompts, or outputs to their needs?

valv

5.0

Count

7.0▲ +2.0

Support

How strong is the documentation, customer support, community, and learning resources?

valv

6.0

Count

6.0

Integration

Calculated

How well does it connect with other tools, APIs, and workflows?

valv

6.0

Count

8.0▲ +2.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, counted from ten verified signals: SOC 2 Type II, GDPR compliance, HIPAA, WCAG AA/AAA, PII redaction, licensed-only training, a published sub-processor list, a downloadable DPA, not training on user data, and a documented deletion path

valv

3.0

Count

6.0▲ +3.0

Performance

Calculated

Latency + throughput speed

valv

5.0

Count

5.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

valv

5.0

Count

8.0▲ +3.0

Calculated = derived from structured signals (integration count, API/open-source config, compliance certs, response-time). AI = LLM-assessed from public website content. Methodology

Task Performance

valv

Task

Count

7.0

Data Visualization

8.0

Natural Language Queries

9.0

8.0

Dashboard Creation

8.0

3.0

Data Cleaning

6.0

2.0

Predictive Analytics

5.0

6.0

Automated Insights

8.0

7.0

Data Integration

9.0

6.0

Report Generation

9.0

5.0

Anomaly Detection

5.0

6.0

Collaboration Sharing

10.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

What are the main differences between valv and Count?

valv — "Let your AI agent answer your product data questions". Count — "Making AI’s mistakes visible". The Features section on this page compares them side by side.

Who is valv best for compared with Count?

valv is best for Founders and product teams needing quick answers from product data; and for Engineers who want to build with AI agents against real databases safely. Count is best for Small teams needing to audit AI outputs for accuracy; and for Analysts building live reports and dashboards.

How does the pricing of valv compare with Count?

valv is freemium, includes a free plan. Count is freemium, includes a free plan, paid plans start at $49/month. Always verify current pricing with the vendor.

Does valv or Count have a free plan?

valv has a free plan. Count has a free plan. Always verify current pricing with the vendor.

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