PromptQL
Team AI coworker for querying business data, docs, context, and workflows.
This tool was featured by FutureStack for its outstanding utility.
About this tool
Best for
Business data agents, shared context, data questions, Slack agents, and team wikis.
Key Features
- Multiplayer AI coworker for teams and shared context
- Connects data sources, documents, and authorization rules
- Works through app, desktop, mobile, Slack, and Microsoft Teams
- Usage-based OLU pricing with model choice and free credits
Pricing summary
PromptQL uses usage-based OLU pricing. The pricing page lists an introductory $0.14 per OLU rate, standard $0.20 per OLU pricing, up to $100 in free project credits, and up to $70 more per teammate.
Pricing Plans
Free Credits
Start with project-level free credits and no card requirement.
- Up to $100 free credits
- Up to $70 per teammate
- No credit card to start
- Project-level credits
Pay As You Go
Use PromptQL with OLU-based usage pricing.
- $0.14 intro per OLU
- $0.20 standard per OLU
- No minimums
- Auto-pauses at zero
Enterprise
Custom deployment and controls for larger organizations.
- Custom terms
- Governed data access
- Team deployment
- Enterprise support
Other pricing notes
- Pricing checked on 2026-07-24 from PromptQL official pricing.
- OLU means Operational Language Unit and normalizes token usage across models and token types.
- Actual cost depends on query complexity, model choice, and team usage.
Pros & Cons
Pros
- Strong fit for teams asking questions across business data
- Shared context wiki helps reduce repeated explanations
- Works across app, desktop, mobile, Slack, and Teams
- Usage pricing avoids fixed per-seat lock-in upfront
- Built by Hasura, which gives it data-platform credibility
Cons
- OLU pricing can be hard to forecast at first
- Requires connecting data sources and authorization rules
- Best value appears for teams, not solo casual users
- Enterprise governance setup may take planning
- Model choice can change usage and effective cost
FAQs
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