Enrich lead information with additional details such as contact information, social profiles, and company details.

​
Endpoint

POST /enrich-lead

​
Request

​
Headers

NameTypeRequiredDescription
x-api-keystringYesYour Sixtyfour API key
Content-TypestringYesMust be application/json

​
Body

FieldTypeRequiredDescription
lead_infoobjectYesInitial lead information as key-value pairs
structobjectYesFields to collect about the lead
research_planstringNoOptional research plan to guide enrichment

​
Example Request

{
  "lead_info": {
    "name": "Saarth Shah",
    "title": "CEO & Co-Founder @ Sixtyfour AI",
    "company": "Sixtyfour AI",
    "location": "San Francisco",
    "linkedin": "https://www.linkedin.com/in/saarthshah"
  },
  "struct": {
    "name": "The individual's full name",
    "email": "The individual's email address",
    "phone": "The individual's phone number",
    "company": "The company the individual is associated with",
    "title": "The individual's job title",
    "linkedin": "LinkedIn URL for the person",
    "website": "Company website URL",
    "location": "The individual's location and/or company location",
    "industry": "Industry the person operates in",
    "github_url": "url for their github profile",
    "github_notes": "Take detailed notes on their github profile."
  }
}

​
Response

​
Success Response (200)

Returns enriched lead data with detailed information and sources. 
{
  "notes": "Saarth Shah is the Co-Founder and CEO of Sixtyfour AI, an AI company focused on building AI agents to help GTM (Go-To-Market) teams sell better and faster to SMBs. He is based in San Francisco, California. His LinkedIn profile is https://www.linkedin.com/in/saarthshah, which shows 500+ connections and highlights his education with Y Combinator and UC Berkeley...",
  "structured_data": {
    "name": "Saarth Shah",
    "email": "saarth@sixtyfour.ai",
    "phone": "",
    "company": "Sixtyfour AI",
    "title": "CEO & Co-Founder",
    "linkedin": "https://www.linkedin.com/in/saarthshah",
    "website": "https://www.sixtyfour.ai/",
    "location": "San Francisco, California, USA",
    "industry": "Artificial Intelligence and Sales Technology",
    "github_url": "https://github.com/SaarthShah",
    "github_notes": "Saarth Shah's GitHub profile demonstrates technical expertise with projects related to AI and full-stack development. Notable repositories include search spelling correction, AI chatbots, and data science models, corroborating his data science background."
  },
  "findings": [
    "Saarth Shah is CEO & Co-Founder of Sixtyfour AI",
    "Company website: https://www.sixtyfour.ai/",
    "LinkedIn profile: https://www.linkedin.com/in/saarthshah",
    "Located in San Francisco, California",
    "GitHub profile: https://github.com/SaarthShah",
    "Background includes UC Berkeley, Y Combinator, and AI-related roles"
  ],
  "references": {
    "https://www.linkedin.com/in/saarthshah": "Saarth Shah LinkedIn profile with current role, location, and background information.",
    "https://www.sixtyfour.ai/": "Sixtyfour AI official company website detailing services and confirming company location and focus area.",
    "https://github.com/SaarthShah": "GitHub profile showing Saarth Shah's repositories and technical projects related to AI and full-stack development.",
    "https://www.saarthshah.com/": "Personal website of Saarth Shah with bio, projects, and contact email saarth@sixtyfour.ai."
  },
  "confidence_score": 9.5
}

​
Error Response (400)

{
  "error": "Bad Request",
  "message": "Invalid lead information"
}

​
Async Endpoint

For longer-running enrichment tasks, you can use the async endpoint to submit a job and retrieve results later.

​
Start Async Job

POST /enrich-lead-async

​
Request

The request format is identical to the synchronous endpoint.

​
Response

Returns a task ID that can be used to check job status and retrieve results. 
{
  "task_id": "bdd69815-a1c0-480d-bfa5-d5fbb9745893",
  "status": "pending"
}

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Check Job Status

GET /job-status/{task_id}

​
Response

Pending/Processing: 
{
  "status": "pending",
  "processed_items": 0,
  "total_items": 0,
  "task_type": "enrich_lead"
}
Completed: 
{
  "status": "completed",
  "result": {
    "notes": "Saarth Shah is the Co-Founder and CEO of Sixtyfour AI, an AI company focused on building AI agents to help GTM (Go-To-Market) teams sell better and faster to SMBs. He is based in San Francisco, California. His LinkedIn profile is https://www.linkedin.com/in/saarthshah, which shows 500+ connections and highlights his education with Y Combinator and UC Berkeley...",
    "structured_data": {
      "name": "Saarth Shah",
      "email": "saarth@sixtyfour.ai",
      "phone": "",
      "company": "Sixtyfour AI",
      "title": "CEO & Co-Founder",
      "linkedin": "https://www.linkedin.com/in/saarthshah",
      "website": "https://www.sixtyfour.ai/",
      "location": "San Francisco, California, USA",
      "industry": "Artificial Intelligence and Sales Technology",
      "github_url": "https://github.com/SaarthShah",
      "github_notes": "Saarth Shah's GitHub profile demonstrates technical expertise with projects related to AI and full-stack development. Notable repositories include search spelling correction, AI chatbots, and data science models, corroborating his data science background."
    },
    "findings": [
      "Saarth Shah is CEO & Co-Founder of Sixtyfour AI",
      "Company website: https://www.sixtyfour.ai/",
      "LinkedIn profile: https://www.linkedin.com/in/saarthshah",
      "Located in San Francisco, California",
      "GitHub profile: https://github.com/SaarthShah",
      "Background includes UC Berkeley, Y Combinator, and AI-related roles",
    ],
    "references": {
      "https://www.linkedin.com/in/saarthshah": "Saarth Shah LinkedIn profile with current role, location, and background information.",
      "https://www.sixtyfour.ai/": "Sixtyfour AI official company website detailing services and confirming company location and focus area.",
      "https://github.com/SaarthShah": "GitHub profile showing Saarth Shah's repositories and technical projects related to AI and full-stack development.",
      "https://www.saarthshah.com/": "Personal website of Saarth Shah with bio, projects, and contact email saarth@sixtyfour.ai."
    },
    "confidence_score": 9.5
  },
  "task_type": "enrich_lead"
}

​
Example Async Usage

import requests
import time

# Start async job
response = requests.post(
    'https://api.sixtyfour.ai/enrich-lead-async',
    headers={
        'x-api-key': 'your_api_key',
        'Content-Type': 'application/json'
    },
    json={
        "lead_info": {
            "name": "Saarth Shah",
            "title": "CEO & Co-Founder @ Sixtyfour AI",
            "company": "Sixtyfour AI",
            "location": "San Francisco",
            "linkedin": "https://www.linkedin.com/in/saarthshah"
        },
        "struct": {
            "name": "The individual's full name",
            "email": "The individual's email address",
            "phone": "The individual's phone number",
            "company": "The company the individual is associated with",
            "title": "The individual's job title",
            "linkedin": "LinkedIn URL for the person",
            "website": "Company website URL",
            "location": "The individual's location and/or company location",
            "industry": "Industry the person operates in"
        }
    }
)

task_info = response.json()
task_id = task_info['task_id']

# Poll for results
while True:
    status_response = requests.get(
        f'https://api.sixtyfour.ai/job-status/{task_id}',
        headers={'x-api-key': 'your_api_key'}
    )
    
    status_data = status_response.json()
    
    if status_data['status'] == 'completed':
        results = status_data['result']
        break
    elif status_data['status'] == 'failed':
        print(f"Job failed: {status_data.get('error', 'Unknown error')}")
        break
    
    time.sleep(10)  # Wait 10 seconds before checking again

​
Type Casting

The API automatically handles type casting for structured data output with intelligent type preservation and conversion.

​
Type Priority Order

  1. Explicit Type Definitions (Highest Priority) - Specified in struct field definitions
  2. Original Input Types - Types from lead_info when not explicitly overridden
  3. Inferred Types - From example values in struct
  4. Default to String (Lowest Priority)

​
Supported Types

TypeExample Values
"str" or "string""John Doe"
"int" or "integer"30, 1000
"float"95.5, 3.14
"bool" or "boolean"true, false
"list"["item1", "item2"]
"list[str]"["item1", "item2"]
"list[int]"[1, 2, 3]
"list[float]"[1.5, 2.7, 3.14]
"dict"{"key": "value"}

​
Examples

Type Override: 
{
  "lead_info": {"age": 30, "is_active": true},
  "struct": {
    "age": {"type": "str"},  // Overrides original int type
    "location": "Current location"  // New field as string
  }
}
// Output: {"age": "30", "is_active": true, "location": "New York"}
Explicit Type Definition: 
{
  "struct": {
    "age": {"description": "Person's age", "type": "int"},
    "is_verified": {"description": "Status", "type": "bool"}
  }
}
// Output: {"age": 30, "is_verified": true}
Type Inference from Values: 
{
  "struct": {
    "score": 95.5,    // Inferred as float
    "active": false,  // Inferred as bool
    "count": 42       // Inferred as int
  }
}

​
Rate Limits

The API is rate limited to 1000 requests per minute per API key.

​
Example Usage

import requests

response = requests.post(
    'https://api.sixtyfour.ai/enrich-lead',
    headers={
        'x-api-key': 'your_api_key',
        'Content-Type': 'application/json'
    },
    json={
        "lead_info": {
            "name": "Saarth Shah",
            "title": "CEO & Co-Founder @ Sixtyfour AI",
            "company": "Sixtyfour AI",
            "location": "San Francisco",
            "linkedin": "https://www.linkedin.com/in/saarthshah"
        },
        "struct": {
            "name": "The individual's full name",
            "email": "The individual's email address",
            "phone": "The individual's phone number",
            "company": "The company the individual is associated with",
            "title": "The individual's job title",
            "linkedin": "LinkedIn URL for the person",
            "website": "Company website URL",
            "location": "The individual's location and/or company location",
            "industry": "Industry the person operates in",
            "github_url": "url for their github profile",
            "github_notes": "Take detailed notes on their github profile."
        }
    }
)

results = response.json()