Documentation Index
Fetch the complete documentation index at: https://docs.sixtyfour.ai/llms.txt
Use this file to discover all available pages before exploring further.
This endpoint is currently in beta. The API response format and behavior may change in future releases.
Use case
Evaluate and qualify data against predefined criteria using autonomous research and structured analysis for sales outreach, CRM enrichment, or lead qualification.Endpoint
API Reference
See the full request/response schema and parameters in the API Reference.
Pricing
See Credits & Pricing Guide for credit costs.Errors
For error responses (400, 403, 422, etc.), see Handling Errors.Using the struct field
The struct field controls which fields appear in the response’s structured_data. Each key becomes a field in structured_data, and its value tells the agent what to find. Only fields specified in struct are included in the response.
You can pass either a plain-English description or an object with description and type:
"Overall qualification score from 0-10 based on weighted criteria" returns better results than "score".
For supported types, type resolution priority, and casting examples, see Struct & Type Casting.
Parameters
qualification_criteria
Each criteria object requires:
criteria_name— Unique identifier for the criteria.description— Detailed description of what to evaluate.weight— Importance multiplier (higher = more important).threshold— Optional minimum score requirement.
references
Supported URL types for automatic research:
- LinkedIn member profiles (
https://linkedin.com/in/...) - LinkedIn company profiles (
https://linkedin.com/company/...) - Instagram profiles (
https://instagram.com/...) - General web pages