察言观数AskTable

Editor Review

Connect the company's own databases and write down the definitions before asking, instead of guessing numbers in a general chat window. Permission-scoped answers recognize identity and data range, so the same question can look different for different people. The knowledge layer keeps field notes, documents, and expert skills so a metric is not re-explained every time. Entrances can sit on the web, in Feishu, on an API, or on the command line. The homepage only shows a trial entrance. It fits teams whose business staff need sales and inventory without learning a query language, and companies that must keep financial data on their own network.

AI Tools Navigator Editorial TeamUpdated: 2026-10-09

What is 察言观数AskTable

AskTable is a question-answering product for a company's own data. It connects databases, warehouses, spreadsheets, and Feishu multidimensional tables, and can extend to other sources. Field notes, business documents, and analysis preferences become a reusable knowledge layer. Before a query, it applies row-level and field-level permissions and masking from the user's identity. The same question can return different answers for different roles. Entrances include the web, Feishu, an API, a command line, and the model context protocol. The page offers a free trial and supports keeping the environment on the company's side.

察言观数AskTable Key Features

Connect many data sources

Connects databases, warehouses, domestic databases, spreadsheets, Feishu multidimensional tables, and finance systems such as Yonyou, and can add sources through an extension.

Identity permissions and masking

Limits answers by identity, role, and data range. Row-level and field-level permissions and masking take effect before the query.

Reuse business knowledge

Collects field notes, business documents, analysis preferences, and expert skills into one knowledge layer so metric definitions can be reused.

Ask from several entrances

The same questioning ability can be used on the web, in Feishu, over the model context protocol, through an API, and on the command line. Frequent analyses can be saved as skills.

Deploy inside the company

The environment can stay on the company's side for operations, finance, and membership analysis that should not leave that environment.

察言观数AskTable Key Advantages

The same question can return different results by identity, role, and data range, with masking applied before the query

Field notes, business documents, and analysis preferences can form a knowledge layer so metric definitions are reused

Web, Feishu, API, and command line share one questioning setup, so definitions are not rebuilt per entrance

The environment can stay on the company's side, which suits sensitive finance and membership tables

察言观数AskTable Use Cases

Business staff ask about sales and stock

Business colleagues at a pharmaceutical or retail company ask about sales and stock in plain language instead of waiting for a data teammate to export a file.

Finance analyzes on the internal network

Finance keeps sensitive tables in the company environment, sets definitions and permissions, then asks questions without relying on a public chat window.

Attribute a margin change by store

A retail lead follows channel, category, and store, uses the answer to mark outliers, and then decides whether to change a promotion.

Frequently Asked Questions

▶Do different employees get the same answer?

Not necessarily. The site says it recognizes user identity, role, and data range, so the same question can differ by person. Row-level and field-level permissions and masking apply before the query. A salesperson seeing their own customers and finance seeing a total both depend on permissions set in advance. Without that setup, it does not open questions across the whole company's data.

▶Besides databases, what else can it query?

The page lists databases, warehouses, domestic databases, spreadsheets and Feishu multidimensional tables, plus finance systems such as Yonyou, and allows extra sources through an extension. Public-data examples include statistics and market quotes, but the business case still centers on the company's own tables. After connecting, field notes and business documents still need to go into the knowledge layer, or definitions may be explained differently each time.

察言观数AskTable

Editor Review

What is 察言观数AskTable

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