# PromptQL

依據 OpenAITools.app 於 2026-11-11 查驗的觀測資料，PromptQL（promptql.io）是收錄於 AI Agent 的 AI 平台，每月產生 4.66萬次造訪，月流量變化量為 +1.74萬（+59.5%）。其主要地理市場為印度（流量佔比 40.4%），並採用免費增值、需聯絡報價定價模式。依每月流量計算的主要競爭替代方案包括 Notion（每月 1.73億次造訪），Taskade（每月 53.97萬次造訪），Dust（每月 54.72萬次造訪）。

PromptQL is a multiplayer AI workspace where teams spin up bots that own a dashboard, sheet, doc, deck or board, connect to company data sources, and pull the people who hold the context into the loop.

## 主要觀測資料與規格

| 指標 | 數值 |
| :--- | :--- |
| 工具名稱 | PromptQL |
| 代稱 | promptql |
| Status | active |
| Origin | independent |
| Maintenance | active |
| 官方網域 | promptql.io |
| 網站網址 | https://promptql.io |
| 分類 | AI Agent, AI 知識管理, AI 知識庫, AI 助手, AI Workflow |
| 定價模式 | 免費增值、需聯絡報價 |
| 每月造訪次數 | 46,603 |
| 月流量變化 | 17,390 |
| 月成長率 | +59.5% |
| 主要市場 | 印度 |
| 市佔率 | 40.4% |
| 直接造訪 | 21,273 |
| 自然搜尋造訪 | — |
| 社群造訪 | — |
| 推薦流量造訪 | 1,463 |
| 電子郵件造訪 | 39 |
| 評論分數 | 4.2 |
| 收藏數 | 0 |
| 支援平台 | 網站 |
| 帳務平台 |  |
| 屬性 | 價格: 免費增值; 價格: 需聯絡報價; 功能: 網站 |
| 標籤 | 多人協作 AI, 協作式 AI, 共享 AI 對話串, 團隊 AI 助理, 共享脈絡, AI 知識庫, 團隊知識庫, 自組織知識庫, 知識管理, 隱性經驗沉澱, AI 代理, AI 分析師, 商業智慧, 資料分析, 企業搜尋, 連結資料來源, Slack 整合, CRM 整合, SaaS 整合, 資料倉儲分析, Google Docs 整合, Salesforce 整合, Snowflake 整合, PostHog 整合, 來源引用, 透明的 AI 推理, 人機協作 AI, 協作審查, 可重複使用 AI 技能, 語意層, 語意建模, 上下文管理, 上下文累積, 知識分享, 修訂歷史, 編輯控制, 存取控制, 範圍權限, 多使用者權限, 資料治理, 審計追蹤, 企業安全, SSO, 私有網路, 專屬 VPC, 自帶雲（BYOC）, 自帶 LLM, OLU 定價, 按用量定價, AI 預付計費, 依使用者配額, 支出控管, 開放權重模型, AI 工作流程自動化, 客戶流失分析, 營收分析, 營運分析, 金融服務 AI, 醫療保健 AI, 零售 AI |

## 總覽

PromptQL is a multiplayer AI workspace where teams spin up bots that own a dashboard, sheet, doc, deck or board, connect to company data sources, and pull the people who hold the context into the loop.

## 價格與方案

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.

## 關鍵功能與能力

- **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.

## 主要使用情境

- **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.

## 優勢

- 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

## 限制

- 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

## 常見問題

### 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.

### PromptQL 的每月流量與成長趨勢為何？
PromptQL 目前每月有 4.66萬次造訪，月流量變化為 +1.74萬（成長率 +59.5%）。其主要來源市場為印度（佔比 40.4%），其中包含每月 2.13萬次直接造訪與每月 — 次自然搜尋造訪。

### PromptQL 是免費的嗎？其定價模式為何？
PromptQL 採用免費增值、需聯絡報價定價模式。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. 支援的帳務與結帳平台包括：未列出。

### 2026 年最佳的 PromptQL 替代方案有哪些？
依據 OpenAITools.app 的分類流量與功能契合度，PromptQL 的前五大替代方案為：1. Notion（每月 1.73億次造訪）; 2. Taskade（每月 53.97萬次造訪）; 3. Dust（每月 54.72萬次造訪）; 4. Oasis HQ（每月 3.89萬次造訪）; 5. Kollab（每月 3.81萬次造訪）。

### PromptQL 支援哪些平台與核心 AI 能力？
PromptQL 分類於 AI Agent, AI 知識管理, AI 知識庫, AI 助手，支援以下平台：網站，其核心能力標籤包括：多人協作 AI, 協作式 AI, 共享 AI 對話串, 團隊 AI 助理, 共享脈絡, AI 知識庫。

## 替代方案

| 工具名稱 | 每月造訪次數 | 定價模式 | 比較 |
| :--- | :--- | :--- | :--- |
| [Notion](https://openaitools.app/tw/tool/t) | 173,441,670 | 免費增值 | [比較](https://openaitools.app/tw/compare/promptql-vs-t) |
| [Taskade](https://openaitools.app/tw/tool/taskade) | 539,714 | 免費增值 | [比較](https://openaitools.app/tw/compare/promptql-vs-taskade) |
| [Dust](https://openaitools.app/tw/tool/dust) | 547,217 | 需聯絡報價 | [比較](https://openaitools.app/tw/compare/dust-vs-promptql) |
| [Oasis HQ](https://openaitools.app/tw/tool/oasis-hq) | 38,854 | 免費增值、需聯絡報價 | [比較](https://openaitools.app/tw/compare/oasis-hq-vs-promptql) |
| [Kollab](https://openaitools.app/tw/tool/kollab) | 38,090 | 免費增值 | [比較](https://openaitools.app/tw/compare/kollab-vs-promptql) |
| [Zapier](https://openaitools.app/tw/tool/zapier-com) | 5,065,248 | 免費增值、免費試用、付費 | [比較](https://openaitools.app/tw/compare/promptql-vs-zapier-com) |
| [Multica](https://openaitools.app/tw/tool/multica) | 449,583 | 免費試用 | [比較](https://openaitools.app/tw/compare/multica-vs-promptql) |
| [Bika.ai](https://openaitools.app/tw/tool/bika-ai) | 27,429 | 免費增值 | [比較](https://openaitools.app/tw/compare/bika-ai-vs-promptql) |
| [Coda](https://openaitools.app/tw/tool/coda-io) | 337,167 | 免費增值 | [比較](https://openaitools.app/tw/compare/coda-io-vs-promptql) |
| [Moxt](https://openaitools.app/tw/tool/moxt) | 58,084 | Credits-based (workspace free; pay for AI usage) | [比較](https://openaitools.app/tw/compare/moxt-vs-promptql) |
| [OpenAgents](https://openaitools.app/tw/tool/openagents) | 38,286 | 免費增值 | [比較](https://openaitools.app/tw/compare/openagents-vs-promptql) |
| [LobeHub](https://openaitools.app/tw/tool/lobehub) | 654,548 | 免費增值 | [比較](https://openaitools.app/tw/compare/lobehub-vs-promptql) |

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來源：https://openaitools.app/tw/tool/promptql