Lead Scoring Board
The Problem
With a full pipeline you chase on gut feel, and the gut is often wrong. High-value deals stall while you polish ones that were never going to close.
How to use
Get a free API key
Sign up for Vibecode and issue a key with the scopes listed below. It takes less than a minute.
Open your AI agent
Launch Claude Code, Cursor, ChatGPT or whichever AI model you work with.
Paste the prompt and key
Copy the prompt below, replace vibe_api_xxx with your API key and send it to the agent. It will call the API and write working code on its own.
Prompt for AI
Copy this prompt and send it to your AI model along with your Vibecode API key
Build me a Lead Scoring Board for Bitrix24. Score every open deal by likelihood to close and sort them into three columns — Hot, Warm, Cold — each card showing the company, amount, stage, a score ring, and a one-line AI reason for the score. Clean, light, scannable. Read deals with GET /v1/deals. Compute the score in code from CRM signals (stage, days since last activity, number of contacts, amount) — don't let the model invent the number. Use POST /v1/chat/completions only to write the short reason per deal. API key: vibe_api_xxx (scopes: crm, vibe:ai) API Discovery: https://vibecode.bitrix24.com/v1/me
Heads-up: CRM field sanitization
Bitrix24 strips text in square brackets (e.g. [TAG]) from some CRM text fields — notably the Comment field (comments). The Title field (title) is kept verbatim. If your scenario writes service markers into comments, avoid square brackets or they will silently disappear.
What You Get
Every open deal scored Hot, Warm or Cold from real CRM signals, sorted into three columns with the company, amount, stage and a one-line reason for the score.
Required Scopes
Endpoints for these scopes
The API resource name does not always match the scope name. Use these exact paths — guessing /v1/:scope often returns 404.
crm
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