tgcparser.
AI Monitoring · Summary · Analysis

Turn Telegram streams into monitoring, summaries and AI analysis

tgcparser X collects messages and posts from selected sources, filters the stream and runs dedicated AI workflows for monitoring, summaries and analysis.

AI monitoringAI summariesAI analysis
AI monitoring, summaries and analysis in tgcparser X
tgcparser
AI monitoring, AI summary and AI analysis
01 — problem

Telegram contains many signals scattered across many sources

Manual review only gives fragments of the picture. Dedicated tgcparser X workflows help track important events, collect material over time and turn the stream into a structured result.

AI monitoring

Track new messages and publications against a topic or condition.

AI summary

Collect new publications for a period, merge repeated events and prepare one summary.

AI analysis

Send accumulated material to AI for analysis using your own instruction.

Keywords → AI

Use a low-cost first-pass filter before semantic processing.

History + real-time

Analyze a past period and continue monitoring new publications.

Export and publishing

Deliver results to Telegram/MAX or save structured data.

02 — process

How analytics works in tgcparser X

01

Connect sources

Choose chats and channels to research.

02

Choose an AI workflow

Monitoring, summary or analysis depending on the task.

03

Set criteria

Add the topic, keywords, period and AI instruction.

04

Use the result

Save, publish or feed the output into the next stage of work.

03 — interface

AI workflows run from the same interface

tgcparser X does not require a separate analytics dashboard: workflows, filters and projects are managed through Telegram.

AI Monitoring, Summary and Analysis
01

AI Monitoring, Summary and Analysis

Dedicated workflows sit alongside Lead Hunter and content tasks

Publication filtering
02

Publication filtering

The screen shows keywords and AI filtering enabled together

Projects and accounts
03

Projects and accounts

The interface shows the selected project and total project count

04 — use cases

Common use cases

01Brand and competitor monitoring
02Tracking industry events
03Daily or periodic summaries
04Analyzing discussions and recurring themes
05Research across large source sets
06Preparing material for decisions and reports

Need detailed Telegram chat collection?

The Telegram chat parser explains history, real-time monitoring, authors and audience workflows.

FAQ

Telegram analytics FAQ

How is AI monitoring different from a summary?+

Monitoring checks the new stream against a condition, while summary workflows collect material over a period and combine it into one result.

Can I use my own analysis instruction?+

Yes. AI analysis and other workflows can follow custom instructions.

Can AI costs be reduced?+

Yes. Keywords and rules can serve as a first-pass filter before AI.

Can history be analyzed?+

Yes. Set the collection period and continue with real-time monitoring afterwards.

Can several topics run in parallel?+

Yes. Use separate projects.

Where can results go?+

To Telegram/MAX or structured data for further work.

Build Telegram monitoring and AI analysis without manually reading every source

Choose sources, workflow and criteria and let tgcparser X automate collection and preparation.

Try for 24 hours