How does the email verification API verify email addresses?

The 8-check pipeline validates syntax, checks for disposable domains, detects role-based addresses (info@, admin@), resolves DNS/MX records, performs direct SMTP handshake, detects catch-all configurations, analyzes SPF/DKIM/DMARC authentication records, and falls back to Reacher API for hard-to-verify addresses.

What email patterns does the AI lead generation engine predict?

Eight B2B email patterns: first@domain, first.last@domain, flast@domain, firstlast@domain, first_last@domain, last@domain, last.first@domain, and f.last@domain. The engine learns which pattern a company uses from discovered emails and applies it to remaining contacts.

How does the tier scoring work for AI outbound automation?

TIER_1_SEND (score 80+): verified via SMTP handshake, safe to send. TIER_2_LIKELY_GOOD (50-79): high confidence but no SMTP confirmation. TIER_3_REVIEW (30-49): needs manual verification. SKIP (below 30): do not send. Scoring weights: SMTP verification +40, MX records +20, auth records +15, Reacher confirmation +10.

Does the email verification API support bulk verification?

Yes. The engine supports batch processing with up to 50 concurrent workers. Per-domain circuit breakers prevent SMTP loops, and rate limiting ensures no domain receives more than 10 requests per hour -- critical for maintaining sender reputation during AI outbound automation campaigns.

Email Intelligence Engine - Email Verification API & Discovery Pipeline

Step 1

Domain Validation

DNS/MX/SPF/DKIM/DMARC validation confirms the domain can receive email before the email verification API begins discovery.

Step 2

Email Discovery

5-layer pipeline for AI lead generation: website crawl -> multi-engine search -> PDF/document mining -> social profile extraction -> pattern-based prediction.

Step 3

Pattern Prediction

8 common B2B email patterns tested: first@, first.last@, flast@, firstlast@, first_last@, last@, last.first@, f.last@. Pattern learning from discovered emails for the lead enrichment platform.

Step 4

SMTP Verification

8-check email verification API: Syntax -> Disposable -> Role -> DNS/MX -> SMTP handshake -> Catch-all detection -> Auth records (SPF/DKIM/DMARC) -> Reacher fallback.

Step 5

B2B Scoring

Tier classification for AI outbound automation: TIER_1_SEND (>=80), TIER_2_LIKELY_GOOD (50-79), TIER_3_REVIEW (30-49), SKIP (<30). Weighted scoring from all verification signals.

Step 6

Output

Streaming dataset push with verification results, tier classification, and confidence metrics per email for the sales intelligence API.

Step 1

Domain Validation

DNS/MX/SPF/DKIM/DMARC validation confirms the domain can receive email before the email verification API begins discovery.

Step 2

Email Discovery

5-layer pipeline for AI lead generation: website crawl -> multi-engine search -> PDF/document mining -> social profile extraction -> pattern-based prediction.

Step 3

Pattern Prediction

8 common B2B email patterns tested: first@, first.last@, flast@, firstlast@, first_last@, last@, last.first@, f.last@. Pattern learning from discovered emails for the lead enrichment platform.

Step 4

SMTP Verification

8-check email verification API: Syntax -> Disposable -> Role -> DNS/MX -> SMTP handshake -> Catch-all detection -> Auth records (SPF/DKIM/DMARC) -> Reacher fallback.

Step 5

B2B Scoring

Tier classification for AI outbound automation: TIER_1_SEND (>=80), TIER_2_LIKELY_GOOD (50-79), TIER_3_REVIEW (30-49), SKIP (<30). Weighted scoring from all verification signals.

Step 6

Output

Streaming dataset push with verification results, tier classification, and confidence metrics per email for the sales intelligence API.

Step 1

Domain Validation

DNS/MX/SPF/DKIM/DMARC validation confirms the domain can receive email before the email verification API begins discovery.

Step 2

Email Discovery

5-layer pipeline for AI lead generation: website crawl -> multi-engine search -> PDF/document mining -> social profile extraction -> pattern-based prediction.

Step 3

Pattern Prediction

8 common B2B email patterns tested: first@, first.last@, flast@, firstlast@, first_last@, last@, last.first@, f.last@. Pattern learning from discovered emails for the lead enrichment platform.

Step 4

SMTP Verification

8-check email verification API: Syntax -> Disposable -> Role -> DNS/MX -> SMTP handshake -> Catch-all detection -> Auth records (SPF/DKIM/DMARC) -> Reacher fallback.

Step 5

B2B Scoring

Tier classification for AI outbound automation: TIER_1_SEND (>=80), TIER_2_LIKELY_GOOD (50-79), TIER_3_REVIEW (30-49), SKIP (<30). Weighted scoring from all verification signals.

Step 6

Output

Streaming dataset push with verification results, tier classification, and confidence metrics per email for the sales intelligence API.

LeadsLogix Dashboard

Live

+12%

24,847

Leads

+8%

18,293

Verified

+15%

6,142

Companies

+22%

$2.8M

Pipeline

Pipeline78%

Discover

Crawl

Extract

Verify

Score

FAQ

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Contact Intelligence Engine AI Qualification Engine Export Center

Start Using the Actor Engine 3 of 6 Engine

Deploy this engine in minutes. No configuration required — just provide your data and let the pipeline handle the rest.

Step 1

Domain Validation

DNS/MX/SPF/DKIM/DMARC validation confirms the domain can receive email before the email verification API begins discovery.

Step 2

Email Discovery

5-layer pipeline for AI lead generation: website crawl -> multi-engine search -> PDF/document mining -> social profile extraction -> pattern-based prediction.

Step 3

Pattern Prediction

8 common B2B email patterns tested: first@, first.last@, flast@, firstlast@, first_last@, last@, last.first@, f.last@. Pattern learning from discovered emails for the lead enrichment platform.

Step 4

SMTP Verification

8-check email verification API: Syntax -> Disposable -> Role -> DNS/MX -> SMTP handshake -> Catch-all detection -> Auth records (SPF/DKIM/DMARC) -> Reacher fallback.

Step 5

B2B Scoring

Tier classification for AI outbound automation: TIER_1_SEND (>=80), TIER_2_LIKELY_GOOD (50-79), TIER_3_REVIEW (30-49), SKIP (<30). Weighted scoring from all verification signals.

Step 6

Output

Streaming dataset push with verification results, tier classification, and confidence metrics per email for the sales intelligence API.

Step 1

Domain Validation

DNS/MX/SPF/DKIM/DMARC validation confirms the domain can receive email before the email verification API begins discovery.

Step 2

Email Discovery

5-layer pipeline for AI lead generation: website crawl -> multi-engine search -> PDF/document mining -> social profile extraction -> pattern-based prediction.

Step 3

Pattern Prediction

8 common B2B email patterns tested: first@, first.last@, flast@, firstlast@, first_last@, last@, last.first@, f.last@. Pattern learning from discovered emails for the lead enrichment platform.

Step 4

SMTP Verification

8-check email verification API: Syntax -> Disposable -> Role -> DNS/MX -> SMTP handshake -> Catch-all detection -> Auth records (SPF/DKIM/DMARC) -> Reacher fallback.

Step 5

B2B Scoring

Tier classification for AI outbound automation: TIER_1_SEND (>=80), TIER_2_LIKELY_GOOD (50-79), TIER_3_REVIEW (30-49), SKIP (<30). Weighted scoring from all verification signals.

Step 6

Output

Streaming dataset push with verification results, tier classification, and confidence metrics per email for the sales intelligence API.

Step 1

Domain Validation

DNS/MX/SPF/DKIM/DMARC validation confirms the domain can receive email before the email verification API begins discovery.

Step 2

Email Discovery

5-layer pipeline for AI lead generation: website crawl -> multi-engine search -> PDF/document mining -> social profile extraction -> pattern-based prediction.

Step 3

Pattern Prediction

8 common B2B email patterns tested: first@, first.last@, flast@, firstlast@, first_last@, last@, last.first@, f.last@. Pattern learning from discovered emails for the lead enrichment platform.

Step 4

SMTP Verification

8-check email verification API: Syntax -> Disposable -> Role -> DNS/MX -> SMTP handshake -> Catch-all detection -> Auth records (SPF/DKIM/DMARC) -> Reacher fallback.

Step 5

B2B Scoring

Tier classification for AI outbound automation: TIER_1_SEND (>=80), TIER_2_LIKELY_GOOD (50-79), TIER_3_REVIEW (30-49), SKIP (<30). Weighted scoring from all verification signals.

Step 6