Count vs QueryStory

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

Data last refreshed October 2026

Count

Count Technologies Ltd

Making AI’s mistakes visible.

Freemium

80% verification coverage

QueryStory

QueryStory, Inc.

The agentic data platform for turning data into decisions.

Enterprise

79% verification coverage

Trust & Reliability

Count

Uptime:99.96%Status page

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

GDPR

SOC 2

HIPAA

QueryStory

Uptime:99.98%Status page

Customers (per vendor):New York Life Ventures

GDPR

Overall Winner: Count

6.6/10 vs QueryStory at 4.1/10

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

Count

6.6

avg score

QueryStory

4.1

avg score

Count leads overall — particularly in Ease of Use and Customization and 3 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

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

QueryStory

Best For

RevOps teams needing account reviews and pipeline analysis

Finance teams requiring variance analysis and board-ready metrics

Marketing teams optimizing customer journeys and campaign attribution

Sales teams seeking action signals and pipeline effectiveness guidance

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

Count is best for

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

QueryStory is best for

💻Coding & Dev9.0🎨Image & Design8.0📊Data & Analytics6.4

Filter by your use case:

Limitations

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

QueryStory

Cons

Multi-step trajectory rollback remains an open challenge (Security/Trust page)

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

Count

6.6

/ 10

Clear winner

QueryStory

4.1

/ 10

Dimension Breakdown

Ease of Use

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

Count

6.0▲ +3.0

QueryStory

3.0

Customization

Calculated

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

Count

7.0▲ +5.0

QueryStory

2.0

Support

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

Count

6.0

QueryStory

6.0

Integration

Calculated

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

Count

8.0▲ +5.0

QueryStory

3.0

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

Count

6.0▲ +2.0

QueryStory

4.0

Performance

Calculated

Latency + throughput speed

Count

5.0

QueryStory

5.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Count

8.0▲ +2.0

QueryStory

6.0

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

Count

Task

QueryStory

8.0

Data Visualization

8.0

9.0

Natural Language Queries

9.0

8.0

Dashboard Creation

8.0

6.0

Data Cleaning

4.0

5.0

Predictive Analytics

4.0

8.0

Automated Insights

6.0

9.0

Data Integration

7.0

9.0

Report Generation

9.0

5.0

Anomaly Detection

6.0

10.0

Collaboration Sharing

8.0

* 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 Count and QueryStory?

Count — "Making AI’s mistakes visible". QueryStory — "The agentic data platform for turning data into decisions". The Features section on this page compares them side by side.

Who is Count best for compared with QueryStory?

Count is best for Small teams needing to audit AI outputs for accuracy; and for Analysts building live reports and dashboards. QueryStory is best for RevOps teams needing account reviews and pipeline analysis; and for Finance teams requiring variance analysis and board-ready metrics.

How does the pricing of Count compare with QueryStory?

Count is freemium, includes a free plan, paid plans start at $49/month. QueryStory is enterprise-priced (custom quote). Always verify current pricing with the vendor.

Does Count or QueryStory have a free plan?

Count has a free plan. QueryStory does not list a free plan in our data. Always verify current pricing with the vendor.

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