Software Alternatives & Startups

Officially verified details DNSDoctor.dev

Free email deliverability scanner - checks SPF, DMARC, DKIM, MX, blacklists and domain/SSL expiry, explains every problem in plain English and generates the exact DNS record to fix it. Paid DMARC report monitoring for teams and MSPs.

DNSDoctor.dev

DNSDoctor.dev Reviews and Details

This page is designed to help you find out whether DNSDoctor.dev is good and if it is the right choice for you.

Screenshots and images

  • Scan any domain free //
    2026-07-29
  • Instant scan report //
    2026-07-29
  • Copy-paste fix records //
    2026-07-29
  • Monitoring - the road to p=reject //
    2026-07-29
  • Free SPF, DMARC and DKIM tools //
    2026-07-29
  • One flat plan. No tiers, no metering, no sales call. //
    2026-07-29

Features & Specs

  1. Platform

    Web

  2. DMARC Monitoring

    Daily re-checks of published records with alerts on change

  3. DMARC Report Analysis

    Aggregate (RUA) reports parsed into per-source pass/fail

  4. DMARC Visibility

    Per-source alignment plus an enforcement readiness verdict

  5. DMARC Analytics Dashboard

    Sources, timeline and readiness per monitored domain

  6. DNS Monitoring

    Daily scans of SPF, DMARC, DKIM, MX and expiry records

  7. DNS Lookup

    Free DNS record and reverse DNS checkers, no signup

  8. Email Alerts

    New sending source, alignment regression, record broken or deleted

  9. SPF Record Checker

    Lookup counter against the 10-lookup limit, per-mechanism breakdown

  10. DMARC Record Generator

    Deterministic and validated, never AI-written records

  11. DKIM Record Checker

    Probes common selectors, custom selector supported

  12. Blacklist Check

    SpamCop, Barracuda and Abusix via a dedicated resolver

  13. SSL Monitoring

    Domain and SSL certificate expiry warnings

  14. API

    REST API v1 plus an MCP server for AI agents

  15. Trial Period

    14 days, monitoring tier

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Questions & Answers

As answered by people managing DNSDoctor.dev.
  1. What makes DNSDoctor.dev unique?

    The fix records are generated by a deterministic engine that validates them against the actual RFC grammar and the 10-lookup limit. The AI only writes the plain-English explanation; it never writes the record itself. Most tools either show you charts and leave the fix to you, or let a language model guess at DNS records, which fails silently when the guess is wrong. We also check things the DMARC-only tools skip: blacklists, reverse DNS, domain and SSL expiry.

  2. Why should a person choose DNSDoctor.dev over its competitors?

    The free scan needs no signup and gives you the full picture in one page, with the exact record to paste for each problem. The paid side answers the question most report dashboards leave open: is it safe to move to p=reject yet? It reads your DMARC reports, tracks every sending source, and tells you when the evidence supports the next policy step. One flat plan, no per-message metering, no sales call.

  3. How would you describe the primary audience of DNSDoctor.dev?

    Small business owners and IT folks whose email quietly lands in spam, sysadmins who want DMARC enforcement without reading XML, and MSPs managing email auth across many client domains. Also works for AI agents: there is a REST API and an MCP server, so you can run scans from your own tools.

  4. What's the story behind DNSDoctor.dev?

    Side project by a founder who manages domains for a few companies he supports. The pattern kept repeating: marketing signs up for some new tool, it starts sending as the domain, nobody added it to SPF, and mail disappears until a customer complains. Raw DMARC reports technically contain the answer, but nobody reads gzipped XML. So this became the tool: scan, get the exact record to fix, and monitoring that flags a new sender the day it appears.

  5. Which are the primary technologies used for building DNSDoctor.dev?

    Python does the heavy lifting, with the DMARC report pipeline built on proven open-source parsing libraries rather than being reinvented. The part that matters is architectural: record generation is plain deterministic code that validates against the RFC grammar, and the AI layer is only allowed to write explanations, never records.

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