Stores signals about user intent and context for future offer matching and personalization.
Authentication: Requires an API key via the x-zc-api-key header.
Response: Returns 204 No Content on success.
Documentation Index
Fetch the complete documentation index at: https://developer.zeroclick.ai/docs/llms.txt
Use this file to discover all available pages before exploring further.
Tenant API key for authentication. Obtain from https://developer.zeroclick.ai/ under API Keys in the Organization API Keys tab. Ensure the key has the required scope (e.g., developer:data:read for analytics endpoints). This is a private key and must be stored securely, never expose it in client-side code.
The LLM model used to parse signals (if any) For consistency, we recommend using the model identifiers listed by Vercel (https://vercel.com/ai-gateway/models).
64Array of real-time signals about the user's current context or intent. These signals are stored for future offer matching and personalization.
1 - 10 elementsClient IP address. Forward the end user IP address for user matching and personalization.
Client User-Agent string.
Tenant-defined user ID for analytics and personalization
Tenant-defined session ID for session-level tracking
User locale/language code (e.g., "en-US", "es-MX")
SHA-256 hash of user email address for identity matching (lowercase, trimmed before hashing)
SHA-256 hash of user phone number for identity matching (E.164 format before hashing)
Tenant-defined grouping ID for analytics segmentation
Signals stored successfully (no content returned)