PromptQL VS Keystroke
Compare PromptQL VS Keystroke, what is the difference between PromptQL and Keystroke?
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Summarize
PromptQL summarize
Stop splitting team knowledge between Slack and everyone's private AI chats. PromptQL is multiplayer AI for teams: think Claude or ChatGPT in shared threads. Tag teammates to review, correct, and refine answers without losing the reasoning. Connect databases, SaaS apps, coding agents, and events. PromptQL captures tribal knowledge and suggests shared-brain updates so context compounds. Scopes and multi-user permissions keep the right context accessible to the right people.
PromptQL Landing Page
Keystroke summarize
Keystroke is an all-in-one platform for building powerful AI agents. Describe the agent you need, and Keystroke builds it, connects your tools, tests it, and deploys it to a shared workspace. Give agents memory, workflows, triggers, approvals, and access to 1,000+ integrations. Open source, YC-backed, and free to try with $20 in credits.
Keystroke Landing Page
Compare Details
PromptQL details
| Categories | AI Agent, AI Knowledge Management, AI Knowledge Base, AI Assistant, AI Workflow |
| PromptQL Website | https://promptql.io?utm_source=toolify |
| Added Time | August 03 2026 |
| PromptQL Pricing | -- |
Keystroke details
| Categories | AI Agent, AI Workflow, AI Developer Tools, AI App Builder, AI API |
| Keystroke Website | https://keystroke.ai?utm_source=toolify |
| Added Time | August 07 2026 |
| Keystroke Pricing | -- |
Comparison of usage
How to use PromptQL?
Create a shared AI thread and ask PromptQL to analyze connected business data, documents, messages, or applications. Review the sources, assumptions, and results it provides. Tag teammates to verify or correct the answer when needed. PromptQL can then suggest the correction as a wiki, skill, or semantic-layer update; review and approve it so the shared context is available to the team in future threads. Choose models per thread, monitor OLU usage, and configure permissions, quotas, and spending limits as needed.
How to use Keystroke?
Create an agent by describing its role and required capabilities in Keystroke, or define it in TypeScript from your own repository. Connect services such as Gmail, Slack, Linear, Notion, GitHub, or custom APIs, then configure memory, tools, workflows, triggers, approvals, and guardrails. Test the agent with evaluation suites, inspect its run traces, and deploy it to the Keystroke workspace, external channels, APIs, or supported applications.
Compare Pros between PromptQL and Keystroke
Core features of PromptQL
- Multiplayer AI threads with shared team context
- Collaborative answer review, correction, and refinement
- Automatically suggested wiki and knowledge-base updates
- Connections to Slack, Google Docs, CRM systems, SaaS applications, data warehouses, and analytics tools
- Source citations, visible assumptions, and step-by-step work
- Reusable team skills and semantic-layer knowledge
- Wikipedia-like pages with revision history and editorial controls
- Scoped access controls and granular multi-user permissions
- Data-access audit trails
- External, confidential, and personal context separation
- Per-thread model selection across proprietary and open-weight models
- OLU-based usage tracking with per-step consumption details
- Per-user quotas, spending alerts, prepaid billing, and auto-pause controls
- Enterprise security features including SSO, private networking, dedicated VPC, and BYOC
Core features of Keystroke
- AI agent creation from natural-language descriptions or plain TypeScript
- Persistent memory, file systems, databases, code execution, and browser access
- Workflows with durable steps, triggers, schedules, webhooks, waits, and approvals
- Access to 1,000+ integrations, APIs, and MCP servers
- Multi-agent orchestration and agent handoffs
- Testing, evaluations, run tracing, replay, and audit history
- Shared company context, organization registries, agents, skills, and project files
- Support for Slack, Microsoft Teams, Telegram, Discord, Linear, WhatsApp, APIs, and web chat
- Credential management, scoped permissions, usage limits, and governance controls
- Support for 300+ AI models with bring-your-own-key options
Compare Use Cases
Use cases for PromptQL
- Analyze customer usage, support tickets, and CRM data to assess churn risk
- Create shared account knowledge by combining Slack, call transcripts, product analytics, warehouse data, and CRM records
- Detect and correct stale data sources used in financial or board reports
- Build reusable revenue, customer-success, and operational analysis skills
- Run AI analyst workflows for financial services, healthcare, and retail
- Research business questions across connected SaaS applications and databases
- Maintain internal playbooks, semantic models, and customer-facing knowledge with controlled access
- Collaborate on technical investigations involving coding agents, cloud tools, monitoring systems, and project-management platforms
Use cases for Keystroke
- Build an inbox management agent that triages email, drafts replies, and organizes messages
- Automate signup enrichment, CRM synchronization, web research, and Slack notifications
- Create customer support agents with shared knowledge and approval workflows
- Generate morning briefings from calendars, email, and company information
- Summarize meeting or customer call notes and update Linear or other project tools
- Trigger agents from GitHub pull requests to summarize changes and capture screenshots
- Build internal dashboards, websites, and lightweight business applications
- Coordinate sales, marketing, finance, and research agents in multi-agent systems
Different Plan between PromptQL and Keystroke
PromptQL
$0.20 per OLU
Introductory at-cost pricing is $0.14 per OLU. Includes up to $100 in project credits, up to $70 for each teammate who joins, no minimum usage, prepaid billing, per-user quotas, and auto-pause at zero balance. Usage on a connected personal OpenAI Codex plan costs $0 per OLU.
Custom pricing
Includes Starter features plus advanced security, fine-grained permissions, data-access audit trails, dedicated VPC or BYOC, private networking and VPC peering, SSO, bring-your-own LLMs, and forward-deployed engineering support.
Keystroke
Free forever
Build agents and workflows, deploy from your own repository, use triggers and integrations, bring your own keys, and access logs and run history. Includes $1 per month in usage credit, 5GB storage, 5 concurrent runs, and 1 project.
$20 per month plus additional usage
Includes all Hobby features, $20 of included usage credit, 50GB file storage, higher concurrency limits, priority early-access support, and enterprise add-ons.
Contact for pricing
Includes Pro features plus advanced usage and spend limits, role-based access controls, agent guardrails, unlimited concurrency, enterprise-grade security, and enterprise support.
PromptQL's traffic
PromptQL is the one with 71.9K monthly visits and 00:00:52 Avg.visit duration. PromptQL has a Page per visit of 2.19 and a bounce rate of 48.04%.
Visit Over Time
| Monthly Visits | 71.9K |
| Avg·visit Duration | 00:00:52 |
| Page per Visit | 2.19 |
| Bounce Rate | 48.04% |
Keystroke's traffic
Keystroke is the one with 1.3K monthly visits and 00:02:49 Avg.visit duration. Keystroke has a Page per visit of 2.62 and a bounce rate of 33.33%.
Visit Over Time
| Monthly Visits | 1.3K |
| Avg·visit Duration | 00:02:49 |
| Page per Visit | 2.62 |
| Bounce Rate | 33.33% |
Geography
The top 5 countries/regions for PromptQL are:India 40.31%, United States 32.55%, United Kingdom 3.33%, Canada 3.32%, Italy 2.87%
Top 5 Countries/regions
 | 40.31% |
 | 32.55% |
 | 3.33% |
 | 3.32% |
 | 2.87% |
Geography
The top 2 countries/regions for Keystroke are:Nigeria 90.09%, Germany 9.91%
Top 2 Countries/regions
 | 90.09% |
 | 9.91% |
Traffic Sources
The 6 main sources of traffic to PromptQL are:Direct 53.77%, vs_sourcesSearchOrganic 22.18%, vs_sourcesSocialOrganic 15.01%, Referrals 5.69%, vs_sourcesGenAi 1.71%, vs_sourcesDisplayAds 1.31%, vs_sourcesSearchPaid 0.25%, Mail 0.09%, vs_sourcesAffiliate 0.00%, vs_sourcesSocialPaid 0.00%
Direct | 53.77% |
vs_sourcesSearchOrganic | 22.18% |
vs_sourcesSocialOrganic | 15.01% |
Referrals | 5.69% |
vs_sourcesGenAi | 1.71% |
vs_sourcesDisplayAds | 1.31% |
vs_sourcesSearchPaid | 0.25% |
Mail | 0.09% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Traffic Sources
The 6 main sources of traffic to Keystroke are:Direct 56.43%, vs_sourcesSearchOrganic 18.30%, vs_sourcesSocialOrganic 15.98%, Referrals 9.28%, Mail 0.00%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
Direct | 56.43% |
vs_sourcesSearchOrganic | 18.30% |
vs_sourcesSocialOrganic | 15.98% |
Referrals | 9.28% |
Mail | 0.00% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Which is better: PromptQL or Keystroke?
PromptQL might be a bit more popular than Keystroke.As you can see, PromptQL has 71.9K monthly visits, while Keystroke has 1.3K monthly visits. So more people choose PromptQL. So the odds are that people will recommend PromptQL more on social platforms.
PromptQL has an Avg.visit duration of 00:00:52, while Keystroke has an Avg.visit duration of 00:02:49. Also, PromptQL has a page per visit of 2.19 and a Bounce Rate of 48.04%. Keystroke has a page per visit of 2.62 and a Bounce Rate of 33.33%.
The main users of PromptQL are India, United States, United Kingdom, Canada, Italy, with the following distribution: 40.31%, 32.55%, 3.33%, 3.32%, 2.87%.
The main users of Keystroke are Nigeria, Germany, with the following distribution: 90.09%, 9.91%.
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