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01Conversational Data Agent Platform

AskTable Conversational Data Agent Platform

Built for real enterprise business data,
answering every business question within the right permissions

Capture business knowledge once, connect databases, warehouses, files, and business systems, and let teams ask in natural language for answers, charts, and insights with visible sources.

Let your AI assistant call AskTable

With AskTable CLI / Skill, Codex, Claude Code, OpenClaw, and other AI assistants can call enterprise data analytics within permission boundaries.

Install the tool using npm i -g @datamini/asktable-cli, then run asktable get-skill to get and install the skill
02Value

AskTable is not about whether AI can chat. It is about whether an enterprise can safely, accurately, and continuously ask its own data.

General AI approach
Export data → paste into a model → unclear metrics → hard-to-verify answers
AskTable approach
Connect data → configure knowledge and permissions → ask → inspect SQL, sources, and reasoning
Traditional data request cycle
Wait for reports, days to weeks
AskTable query cycle
Seconds for queries, minutes for deeper analysis
Traditional barrier
Requires SQL, schema knowledge, and BI tools
AskTable barrier
Know the business, ask clearly, and use data within your permissions
03Workflow

From connected data to querying anywhere

01

Connect trusted data

Connect databases, warehouses, domestic databases, Excel / CSV, Feishu Base, or store lightweight business data in AskTable AI Data Tables.

02

Configure business knowledge and permissions

Capture metadata, metrics, business documents, analysis preferences, and row / field permissions so AI understands both meaning and boundaries before answering.

03

Ask inside your workflow

Teams can ask through Web, Feishu, MCP, API, or CLI. Every answer includes sources, process, and verifiable query logic.

04Capabilities

Product capabilities organized by enterprise rollout path

01 · Data Access

Connect any data in minutes

Connect 30+ sources including MySQL, PostgreSQL, ClickHouse, StarRocks, Dameng, GBase, Excel / CSV, and Feishu Base.

Database · Warehouse · File · Domestic DB

AI Data Tables

Store lightweight business tables directly in AskTable, with automatic storage, structural modeling, and AI-ready processing.

Business ledgers · Dimension tables · POC data

Verifiable SQL and sources

Every answer can be traced back to real queries, source tables, and filters instead of model guesswork.

Visible SQL · Source tracing · Re-runnable
02 · Business Knowledge / Semantic Layer

Unified business knowledge layer

Capture table notes, field descriptions, metric definitions, business documents, and domain knowledge as AI-readable context.

Metadata · Business docs · Metrics

Semantic configuration and preferences

Use value indexes, analysis preferences, domain knowledge, and examples so AI understands your company’s business language.

Value Index · Preferences · Examples

Consistent answers

The same knowledge layer serves Web, Feishu, API, and agents, preventing different surfaces from returning different metrics.

Configure once · Reuse everywhere · One metric
03 · Governance and Entry Points

Permission-aware answers

Identity, roles, row-level, and field-level policies are enforced before queries. The same question can return different answers for different users.

Roles · Row/field control · Masking

Web / Feishu / API / CLI

Bring querying into daily workflows: web chat, Feishu group bot, MCP, OpenAPI, and AskTable CLI.

Multi-surface · Workflow integration · Agent calls
04 · Agent and Skill Reuse

Agent templates

Quickly create business data agents for store operations, e-commerce monitoring, finance, user growth, and executive analysis.

Business scenarios · Role-based agents

Skill accumulation

Turn expert analysis paths, follow-up patterns, and judgment logic into reusable skills so organizational know-how compounds.

Analysis methods · Follow-up paths · Knowledge assets

Scheduled and proactive delivery

Turn frequent metrics and review questions into scheduled tasks that push anomalies, daily reports, and conclusions to teams.

Scheduled jobs · Alerts · Feishu push

Real query results, not static report screenshots

Answers include calculation logic, result tables, key insights, and visualizations that teams can keep exploring.

AskTable query result with calculation logic and key insights

AskTable generates verifiable query results and business explanations from real data

05Vision

Enterprise AI data querying is not about pasting data into a chat box.

It must connect real data first, then understand the company’s business language, metric definitions, permission boundaries, and entry points.

Every entry point shares one business knowledge layer——so metrics and permission boundaries stay consistent.

This is not another reporting tool.
It is the foundation layer for enterprise data intelligence.

Let every business team ask its own data directly

Start with one trusted data source and a set of frequent business questions, then connect AskTable into real operations.

Start using AskTable
Permission-aware answersPrivate deploymentWeb / Feishu / API / CLI