Integrate qualified revenue opportunities directly into your stack.
All uploaded leads pass through our 5-phase validation pipeline:
Parse CSV/API
Standardize
Email + Phone
Apollo/Clearbit
Fuzzy Match
Smart Scoring
Only leads marked QUALIFIED are returned in the final output.
Upload a file (CSV or JSON) for processing.
{ "filename": "leads.csv", "size": 1024, "file_path": "..." }
Start a background processing job for an uploaded file.
{ "filename": "leads.csv" }
Retrieve a list of all batch jobs and their status.
Download the result CSV for a completed job.
{
"status": "QUALIFIED",
"score": 98.5,
"account": {
"name": "TechFlow Systems",
"domain": "techflow.com",
"signals": ["Series B", "Hiring"],
"technologies": ["AWS", "Salesforce"]
},
"contact": {
"full_name": "Sarah Miller",
"title_normalized": "VP of Sales",
"email": "sarah@techflow.com",
"email_status": "verified_deliverable",
"phone": "+1-555-0199",
"phone_status": "mobile_active"
},
"dedup_confidence": 0.99
}
Create a Stripe checkout session for subscription purchase.
{ "plan_id": "professional" }
{ "checkout_url": "https://checkout.stripe.com/...", "session_id": "..." }
Get current subscription details and credit balance.
{
"plan_id": "professional",
"plan_name": "Professional",
"credits_total": 5000,
"credits_remaining": 3250,
"billing_cycle_start": "2026-02-01",
"billing_cycle_end": "2026-03-01",
"status": "active"
}
Upgrade subscription plan (immediate, resets credits).
{ "plan_id": "enterprise" }
Schedule downgrade at end of billing cycle.
{ "plan_id": "starter" }
Get usage statistics for the specified period.
{
"total_consumed": 1750,
"daily_usage": [
{"date": "2026-02-01", "credits": 50},
{"date": "2026-02-02", "credits": 75}
]
}
Request a refund for a specific order.
{
"order_id": "ord_abc123",
"amount": 49900,
"reason": "Customer request"
}
List all invoices for the current user.
[
{
"invoice_number": "INV-2026-001",
"amount": 499.00,
"status": "paid",
"created_at": "2026-02-01T10:00:00Z"
}
]
Download invoice PDF.
Access advanced caching, predictive enrichment, and multi-source validation features.
Get real-time cache performance statistics including hit rates, latency, and cost savings.
{
"l1_cache": {
"hit_rate": 0.94,
"avg_latency_ms": 0.8,
"total_hits": 15420,
"total_misses": 980
},
"l2_cache": {
"hit_rate": 0.89,
"avg_latency_ms": 12.5,
"total_hits": 8730,
"total_misses": 1080
},
"similarity_matches": {
"total": 3240,
"threshold": 0.85
},
"cost_savings": {
"api_calls_saved": 24150,
"estimated_savings_usd": 1207.50
}
}
Check the status of predictive enrichment including detected patterns and pre-enriched leads.
{
"patterns_detected": {
"company_batches": 12,
"sequential_patterns": 8,
"domain_patterns": 15
},
"predictions": {
"total_generated": 450,
"pre_enriched": 360,
"success_rate": 0.80
},
"performance": {
"avg_prediction_accuracy": 0.82,
"zero_latency_requests": 0.78,
"throughput_increase": 2.1
},
"background_queue": {
"pending": 45,
"processing": 12,
"completed": 360
}
}
Retrieve cross-validated data with source attribution and confidence scores.
GET /v1/validation/multi-source?email=john.smith@techcorp.com
{
"lead": {
"email": "john.smith@techcorp.com",
"name": "John Smith",
"title": "VP of Engineering",
"company": "TechCorp Inc",
"phone": "+1-555-0123",
"linkedin": "https://linkedin.com/in/johnsmith"
},
"validation": {
"confidence_score": 0.96,
"data_quality": 0.99,
"coverage": 0.98
},
"sources": {
"hunter_io": {
"agreement": true,
"confidence": 0.95,
"fields_provided": ["email", "name", "title", "company"]
},
"clearbit": {
"agreement": true,
"confidence": 0.98,
"fields_provided": ["name", "title", "company", "linkedin"]
},
"snov_io": {
"agreement": true,
"confidence": 0.94,
"fields_provided": ["email", "phone", "company"]
}
},
"consensus": {
"email": { "agreement_score": 1.0, "sources": 3 },
"name": { "agreement_score": 1.0, "sources": 3 },
"title": { "agreement_score": 0.95, "sources": 2 },
"company": { "agreement_score": 1.0, "sources": 3 }
}
}
Enhanced batch and lead responses now include Phase 3 performance metrics.
{
"batch_id": "batch_123",
"status": "completed",
"leads_processed": 1000,
"leads_qualified": 847,
"phase3_metrics": {
"cache_hit_rate": 0.94,
"predictive_matches": 780,
"multi_source_validated": 847,
"avg_confidence": 0.96
}
}
All Stripe webhooks are verified using HMAC-SHA256 signatures:
import hmac
import hashlib
def verify_webhook(payload: bytes, signature: str, secret: str) -> bool:
expected = hmac.new(
secret.encode(),
payload,
hashlib.sha256
).hexdigest()
return hmac.compare_digest(expected, signature)