Resolve Telegram sources
Turn channels, chats, and handles into structured sources your systems can work with.
Telegram source intelligence for teams, products, and AI agents
Search, summarize, and use Telegram via API
EverMont API lets products, internal tools, and AI agents work with Telegram chats and channels: resolve sources, search messages by meaning, generate summaries, and send messages through API without managing Telegram sessions yourself.
Resolve sources • Search semantically • Generate summaries • Send messages • No session management • Trial on request
POST /v1/messages/search
const response = await fetch("https://api.evermont.dev/v1/messages/search", {
method: "POST",
headers: {
"Authorization": "Bearer <EVERMONT_API_KEY>",
"Content-Type": "application/json"
},
body: JSON.stringify({
source: "telegram://channel/research",
query: "hiring AI engineers",
limit: 5,
summarize: true
})
})Resolved source
Semantic search
No sessions to manage
What you can do
What you can do with EverMont
A focused API layer for retrieving, understanding, and using Telegram context inside real software.
Search messages by meaning
Retrieve relevant Telegram context semantically instead of relying on brittle keyword matching.
Summarize chats and channels
Generate concise summaries for long-running conversations, channels, and activity windows.
Send messages through API
Send Telegram messages through a managed API layer without operating Telegram sessions yourself.
Key advantage
No Telegram session management required
You don't need to manage Telegram sessions, accounts, or MTProto infrastructure yourself. EverMont handles that layer so your product can work through API instead of operating Telegram account infrastructure manually.
Accounts handled
Session layer managed
API-first access
Why this matters
Telegram gets harder to use as it grows
Teams often have valuable context in Telegram, but the moment it needs to become searchable, reusable, or programmable, the default interface stops being enough.
Telegram becomes noisy at scale.
Manual review does not scale across teams or products.
Keyword search misses nuance and intent.
Product teams need structured access through API.
Managing Telegram sessions and account infrastructure is operationally heavy.
How it works
From source to action
The flow is designed around practical Telegram workflows, not a generic AI wrapper.
1
Resolve a source
Start from a Telegram handle, link, chat, or channel and normalize it into a stable source reference.
2
Retrieve relevant messages
Query source history semantically and return the messages that match the intent of your request.
3
Summarize activity
Compress long message streams into useful context for humans, products, or agents.
4
Use the output or send messages
Send messages through API or route the output into your product, workflow, dashboard, or AI-agent system.
Use cases
Built for products, tools, and AI agents
EverMont is for teams that need Telegram context to become part of a system, not another tab to check.
Research and monitoring
Track market, community, hiring, or competitor activity without manually reading every source.
Internal tools and workflows
Bring Telegram context into operational dashboards, review queues, and team automations.
Product integrations
Expose Telegram source intelligence inside your own product without building the source layer yourself.
AI agents and automations
Give agents structured access to Telegram retrieval, summaries, and managed message sending.
Managed messaging workflows
Send messages through API boundaries without building Telegram session infrastructure.
API proof
A practical API for Telegram workflows
EverMont gives you normalized source references, semantic matches, message metadata, summaries, and managed message sending that can move directly into product logic or workflow steps.
Source and message metadata
Summary output for reusable context
Managed message sending without Telegram sessions
API keys and rate limits for controlled usage
Live API demo
Telegram channel or chat
Resolving source
Retrieving messages
Generating summary
Ready
Response
{
"source": {
"input": "@product_research",
"resolved": "telegram://source/product_research",
"status": "waiting_for_input"
},
"retrieval": {
"mode": "semantic",
"matches": 0
},
"session_management": "handled_by_evermont",
"managed_messaging": null,
"summary": null
}Trust
Why teams use EverMont
The value is a clearer programmable surface for Telegram context, with enough control for product teams and technical operators.
Clear API surface
Semantic retrieval instead of keyword-only search
Summaries for channels and chats
Managed message sending
Flexible API keys and rate limits
No Telegram session management
FAQ
Common questions
Is EverMont API only for lead generation?
No. EverMont is broader than lead generation. It is a structured API for working with Telegram sources, messages, summaries, and managed message sending inside products, workflows, internal tools, and AI-agent systems.
What can I do with EverMont today?
You can resolve Telegram sources, search messages semantically, generate summaries for chats and channels, and send messages through API.
Can I use EverMont inside my product or internal tool?
Yes. EverMont is designed to be integrated into products, automations, internal workflows, and AI-agent systems.
Can it work with AI agents and automations?
Yes. Agents can use EverMont to retrieve Telegram context, summarize activity, send messages through API, and pass structured outputs into downstream workflow steps.
Do I need to manage Telegram sessions myself?
No. EverMont handles the Telegram session layer for you, so you can use the product through API without manually managing Telegram sessions or account infrastructure.
Where can I see the API docs?
Use the API Docs link: https://evermont-docs.batashev.tech/
Is trial access available?
Yes. Trial access is available on request via Telegram.
How do I get access?
Open the docs to validate the API, then message in Telegram with your use case. Trial access is reviewed manually.
Founder trust
Built by the founder
I built EverMont to make Telegram usable as a real product layer, not just a stream of messages. If you're exploring a use case for search, summaries, messaging, or AI-agent workflows, you can message me directly in Telegram.
Islam Batashev — Founder, EverMont
Message the founderDirect Telegram contact
Next step
Read the docs or discuss your use case
Validate the API surface first, then message directly if you want trial access or a specific integration path.