Telegram Agent Message Monitoring: A Complete Guide to Content Moderation’s Double Confirmation and Send Interception

In Telegram customer service operations, every message sent by human agents carries potential risks. Whether Web3 teams worry about agents accidentally sharing crypto wallet addresses or cross-border businesses need to prevent sensitive terms from leaking, agent message monitoring has become a critical component of team compliance and internal control. TG-Staff’s content moderation feature is designed for this purpose: it automatically detects risky words, triggering a double confirmation or directly blocking the message before it goes out, helping teams shift from “post-event accountability” to “pre-event interception.”

This article will fully explain how to build an agent message monitoring system using TG-Staff Pro, from working principles and configuration steps to practical scenarios.

Why Agent Message Monitoring is Needed: The Core Value of Content Moderation

Human agents under pressure and responding quickly are prone to two types of errors:

• Accidental disclosure of sensitive information: For example, in crypto project customer service, an agent accidentally sends the team’s internal wallet address to a user, leading to asset risk or compliance issues.
• Sending prohibited content: Agents use banned words, marketing-sensitive terms, or unauthorized payment addresses, triggering platform bans or legal risks.

Traditional methods involve administrators periodically spot-checking chat logs, but this is lagging and inefficient. The value of content moderation lies in:

1. Instant interception: Messages are scanned before sending, and intervention occurs immediately upon hitting risky words.
2. Unified rules: All agents in the team share a common set of moderation phrases, avoiding individual judgment differences.
3. Traceability: Every trigger event is recorded in audit logs for easy post-event review.

For teams using Telegram Bot for customer service, agent message monitoring is not optional; it’s a necessity for ensuring stable business operations.

How Content Moderation Works: From Risk Phrase Configuration to Message Interception

TG-Staff’s content moderation process consists of four steps:

1. Admin configures risk phrase groups: Create groups by scenario in the console, adding keywords (e.g., wallet address fragments, banned words).
2. Agent sends a message: The agent types content in the web interface and clicks send.
3. System automatically scans: After submission, the system immediately compares against the risk phrase library.
4. Trigger action: Upon hitting a risky word, based on configuration, either a double confirmation or a send block is executed, with audit logs recorded.

The entire process completes in milliseconds, with agents barely noticing (unless interception is triggered).

What Are Risk Phrase Groups? How to Create and Group Them?

Risk phrase groups are collections of keywords. You can create multiple groups by business scenario, such as:

• Wallet address group: Contains prefix fragments of common addresses like TRC20, ERC20, BEP20.
• Marketing-sensitive phrase group: Such as “free claim,” “click link,” “investment return.”
• Prohibited items group: Suitable for industries where discussing certain topics is forbidden.

In the TG-Staff console’s “Content Moderation” module, click “New Risk Phrase Group,” enter a name, and add keywords. Each word supports exact match or fragment match. For easier management, it’s recommended to associate phrase groups with specific projects, allowing different monitoring rules for different projects.

Double Confirmation vs. Send Block: The Difference Between Two Interception Modes

Mode	Agent Experience	System Behavior	Use Case
Double Confirmation	Popup: “This message contains risky words. Confirm sending?”	Agent can send after confirmation, but audit log is recorded	Initial testing, non-mandatory scenarios, need to preserve human judgment
Send Block	Message is intercepted, cannot be sent, popup explains reason	Message not sent, audit log recorded	High-sensitivity scenarios (wallet addresses, banned words), mandatory compliance

When configuring, you can choose the interception mode individually for each risk phrase group, or mix them: for example, use “Send Block” for the wallet address group and “Double Confirmation” for marketing-sensitive phrase groups.

Step-by-Step Configuration for Monitoring Agent Messages (Using TG-Staff Pro as an Example)

The following steps are based on TG-Staff Pro (content risk control is a Pro feature). It also works during the trial period.

1. Log in to the console: Visit https://app.tg-staff.com/ to enter the project management page.
2. Enter the content risk control module: Find “Content Risk Control” or “Internal Control Management” in the left menu (exact name depends on the interface).
3. Create a new risk phrase group: Click “New Phrase Group”, enter a name (e.g., “Wallet Address Monitoring”), and select the interception mode (“Double Confirmation” is recommended initially).
4. Add risk words: Add keywords within the group. Note: For wallet addresses, it is recommended to use the first 8-12 characters as matching keywords instead of the full address (e.g., TR7NHq or 0x12345678).
5. Associate with projects: Select the projects to which this phrase group should apply. Multiple projects can be associated.
6. Save and activate: Click “Save” to apply the configuration immediately. You can send a test message to verify.

After configuration, when an agent sends a message containing a risk word in the associated project, a pop-up alert will appear.

Practical Scenario: Monitoring Agents Accidentally Sending Crypto Wallet Addresses

Suppose you operate a Telegram customer support group for a cryptocurrency exchange, and your team needs to ensure agents do not accidentally send the official deposit address in conversations (to prevent users from transferring funds to the wrong address).

Configuration Plan:

• Create a risk phrase group named “Deposit Address Monitoring” and set the interception mode to “Block Sending”.
• Add keywords: TR7NHq (first 7 characters of a TRC20 address), 0x12345678 (first 10 characters of an ERC20 address), bnb1abc (first 7 characters of a BEP20 address).
• Associate it with the exchange’s customer support project.

Effect: When an agent sends a message containing the above address fragments, the system directly blocks it, and the message cannot be sent. The agent will see a prompt: “This message contains a risk word (Deposit Address) and has been blocked by the system.”

If an agent needs to send a real address (e.g., an authorized official address), they can communicate with the admin in advance to add the specific address to a whitelist (TG-Staff supports exception management for risk phrase groups; refer to the documentation for details).

Audit Logs: How to View and Trace Agent Sending Records

Every trigger event in content moderation is recorded in the audit log. Admins can:

1. View trigger records: Go to “Content Moderation → Audit Logs” and filter by time, agent, or project.
2. Get complete info: Each record includes trigger time, risky word content, corresponding conversation ID, agent account, and interception mode (confirmation required / blocked).
3. Trace conversation context: Click the conversation ID to jump to that conversation and view the full chat history between agent and user.

Audit logs are not only for post-event accountability but also help optimize moderation strategies. For example, if a risky word is frequently triggered but always for normal business content, consider removing it from the list or switching to confirmation-required mode.

Best Practices: Making Agent Message Monitoring Effective

1. Regularly update risky word lists: Business scenarios change, wallet addresses get replaced. Check your word list monthly—remove obsolete words and add new sensitive terms.
2. Combine with routing rules: Assign high-sensitivity projects (e.g., payments, KYC conversations) to senior agents and apply stricter interception modes.
3. Train agents: Ensure agents understand content moderation rules, know what content gets blocked, and how to handle it correctly (e.g., contact admin to add to whitelist).
4. Use audit logs to optimize strategies: Review audit logs weekly, analyze trigger patterns, and adjust word list thresholds or interception modes.
5. Test before deploying: Run new word lists in confirmation-required mode for 1-2 days, then switch to blocking only if no issues.

FAQ

Q: Does content moderation affect agent sending efficiency?
A: Minimal impact. The system scans messages instantly upon sending; only when a risky word is hit does it prompt for confirmation or block. Normal messages go through without interference. Scanning typically takes milliseconds.

Q: In confirmation-required mode, can agents bypass monitoring?
A: No. Even if the agent clicks “confirm to send,” the system fully records the trigger event in the audit log, including agent identity, risky word content, and trigger time. Admins can trace at any time.

Q: Can different projects have different risky word lists?
A: Yes. TG-Staff supports associating risky word lists with projects, allowing independent monitoring rules. For example, Project A monitors wallet addresses, Project B monitors marketing sensitive words—no interference.

Q: Does the free trial include content moderation?
A: Content moderation is a Pro feature. During the trial, you can fully experience all Pro capabilities, including creating risky word lists, configuring interception modes, and viewing audit logs. After the trial, upgrade to Pro to continue using.

Q: What if an agent needs to send blocked content?
A: Admins can configure whitelists (exception rules) for risky word lists. After adding specific content or users to the whitelist, agents can send without triggering interception. For details, see the Content Moderation Configuration Guide.

---

Try Agent Message Monitoring Now: Sign up for TG-Staff free trial → https://app.tg-staff.com/
Read Full Documentation: Content Moderation Configuration Guide → https://docs.tg-staff.com/
Get Custom Setup Assistance: Contact @tgstaff_robot for one-on-one support