# PromptQL

According to OpenAITools.app telemetry verified on 2026-11-11, PromptQL (promptql.io) is an AI platform indexed under AI Agent generating 46.6K monthly visits with a month-over-month traffic delta of +17.39K (+59.5%). Its primary geographic market is India (40.4% traffic share), and it operates on a Freemium, Contact for Pricing pricing model. Top competing alternatives by monthly volume include Notion (173.44M visits/mo), Taskade (539.71K visits/mo), Dust (547.22K visits/mo).

Multiplayer AI bots that keep your team's dashboards, sheets and docs moving

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | PromptQL |
| Handle | promptql |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | promptql.io |
| Website URL | https://promptql.io |
| Categories | AI Agent, AI Knowledge Management, AI Knowledge Base, AI Assistant, AI Workflow |
| Pricing Model | Freemium, Contact for Pricing |
| Monthly Visits | 46,603 |
| MoM Traffic Change | 17,390 |
| MoM Growth Rate | +59.5% |
| Primary Market | India |
| Market Share | 40.4% |
| Direct Visits | 21,273 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 1,463 |
| Email Visits | 39 |
| Review Score | 4.2 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Pricing: Freemium; Pricing: Contact for Pricing; Features: Website |
| Tags | Multiplayer AI, Collaborative AI, Shared AI threads, Team AI assistant, Shared context, AI knowledge base, Team wiki, Self-organizing wiki, Knowledge management, Tribal knowledge capture, AI agent, AI analyst, Business intelligence, Data analysis, Enterprise search, Connected data sources, Slack integration, CRM integration, SaaS integrations, Data warehouse analysis, Google Docs integration, Salesforce integration, Snowflake integration, PostHog integration, Source citations, Transparent AI reasoning, Human-in-the-loop AI, Collaborative review, Reusable AI skills, Semantic layer, Semantic modeling, Context management, Context compounding, Knowledge sharing, Revision history, Editorial controls, Access control, Scoped permissions, Multi-user permissions, Data governance, Audit trails, Enterprise security, SSO, Private networking, Dedicated VPC, Bring your own cloud, Bring your own LLM, OLU pricing, Usage-based pricing, Prepaid AI billing, Per-user quotas, Spending controls, Open-weight models, AI workflow automation, Customer churn analysis, Revenue analysis, Operational analytics, Financial services AI, Healthcare AI, Retail AI |

## Overview

PromptQL reframes AI assistance as a team sport. Rather than a single person chatting with an assistant, you spin up a bot for a piece of work — a reliability dashboard, a data quality sheet, an API spec, a monthly metrics deck, a delivery board — and invite the colleagues who actually hold the context. When the bot hits a gap, it asks the right person; when it finds an answer, it writes it back into the artifact next to the discussion.

The product's framing is that three people usually know where to look, and the bot checks all three. In its own examples, three people know what the data does not say, what the code does not say, and what the charts do not say. The bot's job is to reach those people, test their theories against the source systems, and keep the shared artifact correct rather than duplicating knowledge into yet another silo.

Technically, PromptQL bots can run continuously, work on an isolated computer with a browser, build their own tools for arbitrary APIs or databases, and create artifacts and apps. The multiplayer layer includes per-user data isolation — a user cannot ask the bot to access another user's data — editable and deletable messages in shared chat, and private bots users can spawn for sensitive work. An automatically maintained knowledge base captures what the team learns so context compounds rather than resets.

PromptQL also publishes detailed positions on shared context architecture, security, enterprise deployment and pricing, and ships an SDK for teams that want to build multiplayer AI agents themselves.

## Pricing & Plans

Team pricing starts at $40 per paid user per month, with every user starting free and paid seats purchased in $40 increments. Enterprise considerations such as private networking, dedicated VPC and bring-your-own-cloud or bring-your-own-LLM are handled through contact with the team.

## Key Features & Capabilities

- **Bot per artifact:** Spin up a bot for a specific artifact — a dash board, data quality sheet, spec doc, metrics deck or project board — and give it ongoing responsibility.
- **Invite the humans who know:** Invite the teammates who hold the missing knowledge so the bot can ask them directly and fold their answers into the work.
- **Connected data and tooling:** Bots connect to APIs and databases, build their own tools, and run on an isolated computer with a browser when a task needs one.
- **Multiplayer controls:** Every change is logged, messages can be edited, and users cannot ask the bot to reach another user's data — designed for shared team use.
- **Enterprise deployment:** Architecture, security and deployment pages cover scoped permissions, private networking, dedicated VPC and bring-your-own-LLM options.

## Primary Use Cases

- **Fix the dashboard, keep the record (Data team):** A bot owns the data quality sheet, traces a broken metric to its source, fixes it and logs the change.
- **Build the metrics review together (Finance or analytics):** The bot drafts the deck from the warehouse and dashboards, then rewrites slides once colleagues explain the anomalies.
- **Triage an incident or bug (Engineering):** The bot reproduces an issue, checks logs and code, and pulls in the right engineer when it gets stuck.
- **Answer security questionnaires (GTM and security):** The bot splits questionnaire items by who would know, reuses past answers and escalates only the genuinely new questions.

## Strengths

- Designed around collaborative work rather than single-user chat
- Bots can draw on real data sources, APIs and databases instead of only documents
- Strong emphasis on permissions, auditability and enterprise deployment options
- Published SDK for building multiplayer AI agents on the platform

## Limitations

- Concept takes a mental shift if you are used to single-user AI chat assistants
- Full value depends on connecting your data sources and inviting the right collaborators
- Pricing is per paid user on top of a free tier, which needs planning for larger teams

## Frequently Asked Questions

### What is a multiplayer bot experience?
PromptQL describes itself as the world's first multiplayer bot experience. Instead of one person chatting with an AI, teams spin up a bot for a piece of work, invite the people who know the context, and the bot keeps the artifact moving.

### How does PromptQL pricing work?
Team starts at $40 per paid user per month, and every user starts free. You pay only for users who need more, purchased in $40 increments. The site also offers an enterprise path with security, architecture and deployment details.

### What can the bots connect to?
Bots can connect to APIs, databases and common tooling, build their own tools, run 24x7, and work on an isolated computer with a browser. They read and write to artifacts like dashboards, sheets, docs, decks and boards.

### Is PromptQL suitable for enterprise teams?
Yes. The platform emphasises scoped permissions, access control, user-isolated data, and deployable security architectures including private networking and bring-your-own-cloud options described on its security and architecture pages.

### What is PromptQL's monthly traffic and growth trend?
PromptQL currently receives 46.6K monthly visits, with a month-over-month traffic change of +17.39K (+59.5% growth rate). Its primary source market is India (40.4% share), including 21.27K direct visits/mo and — organic search visits/mo.

### Is PromptQL free? What is its pricing model?
PromptQL operates on a Freemium, Contact for Pricing pricing model. Team pricing starts at $40 per paid user per month, with every user starting free and paid seats purchased in $40 increments. Enterprise considerations such as private networking, dedicated VPC and bring-your-own-cloud or bring-your-own-LLM are handled through contact with the team. Supported billing and checkout platforms include: not listed.

### What are the best PromptQL alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to PromptQL are: 1. Notion (173.44M visits/mo); 2. Taskade (539.71K visits/mo); 3. Dust (547.22K visits/mo); 4. Oasis HQ (38.85K visits/mo); 5. Kollab (38.09K visits/mo).

### Which platforms and core AI capabilities does PromptQL support?
PromptQL is classified under AI Agent, AI Knowledge Management, AI Knowledge Base, AI Assistant, supports the following platforms: Website, and its core capability tags include: Multiplayer AI, Collaborative AI, Shared AI threads, Team AI assistant, Shared context, AI knowledge base.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Notion](https://openaitools.app/tool/t) | 173,441,670 | Freemium | [Compare](https://openaitools.app/compare/promptql-vs-t) |
| [Taskade](https://openaitools.app/tool/taskade) | 539,714 | Freemium | [Compare](https://openaitools.app/compare/promptql-vs-taskade) |
| [Dust](https://openaitools.app/tool/dust) | 547,217 | Contact for Pricing | [Compare](https://openaitools.app/compare/dust-vs-promptql) |
| [Oasis HQ](https://openaitools.app/tool/oasis-hq) | 38,854 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/oasis-hq-vs-promptql) |
| [Kollab](https://openaitools.app/tool/kollab) | 38,090 | Freemium | [Compare](https://openaitools.app/compare/kollab-vs-promptql) |
| [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | Freemium, Free Trial, Paid | [Compare](https://openaitools.app/compare/promptql-vs-zapier-com) |
| [Multica](https://openaitools.app/tool/multica) | 449,583 | Free Trial | [Compare](https://openaitools.app/compare/multica-vs-promptql) |
| [Bika.ai](https://openaitools.app/tool/bika-ai) | 27,429 | Freemium | [Compare](https://openaitools.app/compare/bika-ai-vs-promptql) |
| [Coda](https://openaitools.app/tool/coda-io) | 337,167 | Freemium | [Compare](https://openaitools.app/compare/coda-io-vs-promptql) |
| [Moxt](https://openaitools.app/tool/moxt) | 58,084 | Credits-based (workspace free; pay for AI usage) | [Compare](https://openaitools.app/compare/moxt-vs-promptql) |
| [OpenAgents](https://openaitools.app/tool/openagents) | 38,286 | Freemium | [Compare](https://openaitools.app/compare/openagents-vs-promptql) |
| [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | Freemium | [Compare](https://openaitools.app/compare/lobehub-vs-promptql) |

---
Source: https://openaitools.app/tool/promptql