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StateFox Telegram Bridge

Parse StateFox and Telegram outputs into normalized property prospecting records.

Updated Aug 27, 2026
Search Tags:#sales automation#prospecting#lead management#data normalization#telegram#statefox
One-click install
npx skills add https://github.com/ToniIAPro73/Anclora-Nexus --skill statefox-telegram-bridge
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: StateFox Telegram Bridge
Source: https://github.com/ToniIAPro73/Anclora-Nexus/tree/main/.agent/skills/features/statefox-telegram-bridge
Command: npx skills add https://github.com/ToniIAPro73/Anclora-Nexus --skill statefox-telegram-bridge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the process of converting raw output from StateFox and Telegram into structured, actionable prospecting records.

Core Features & Use Cases

  • Data Normalization: Parses raw StateFox/Telegram outputs into standardized prospecting entries.
  • Automated Import: Imports normalized data into the 'properties' system with source=statefox.
  • Seller Classification: Identifies and classifies seller-side candidates based on explicit signals.
  • Unified Ingestion: Derives classified seller candidates to nexus_sellers via unified ingestion.
  • Use Case: Quickly process a list of leads from a Telegram group, enrich them with property details, and automatically flag potential sellers for follow-up.

Quick Start

Paste the raw output from Telegram/StateFox into the tool to begin normalization and import.

Frequently Asked Questions about StateFox Telegram Bridge

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I normalize raw Telegram prospecting data for lead management?▼

To normalize raw Telegram prospecting data, you parse raw outputs to extract price, title, details, and links into standardized records. This process converts unstructured messages into actionable entries for lead management.

How does seller classification work on Telegram prospecting records?▼

Seller classification works by identifying explicit signals within normalized records to flag seller-side candidates. These classified candidates are then routed to unified ingestion for targeted follow-up.

Can I import normalized prospecting data directly into a property database?▼

Yes, you can import normalized prospecting data directly into a property database. The tool facilitates automated import with source tracking, ensuring records are tagged with their original origin.

Does StateFox Telegram Bridge require any external dependencies to parse leads?▼

No external dependencies are required to parse leads. The tool independently transforms raw StateFox and Telegram outputs into normalized prospecting records without needing additional components.

What is the best way to process a list of leads from a Telegram group?▼

The best way to process leads from a Telegram group is to paste the raw output for normalization. The tool enriches the data with property details and automatically flags potential sellers for follow-up.

What should I do if my prospecting data parsing is not working correctly?▼

If your prospecting data parsing is not working, ensure the raw output pasted matches StateFox or Telegram formats. The tool relies on specific structures to successfully parse price, title, details, and links.

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