Executive Summary

Many AI agents and automation workflows need to act on time‑sensitive OTPs and verification emails but face brittle, insecure extraction methods: teams rely on fragile regex parsers, headless mailbox scraping, or asking users to forward messages, which increases failure rates, customer friction and compliance risk. This pain is most acute for product and platform engineering teams at mid+large enterprises (about 200,000 potential accounts) and for 1.6M SMBs that would value turnkey delegated email ingestion for agent workflows. You could build an API‑first ingestion and parsing platform—MCP or REST endpoints—that connects to mail providers, securely captures inbound OTPs/verification messages, runs transformer‑based NLU to extract tokens/links and flag phishing, and streams structured events to agents via webhooks or serverless triggers; offer SDKs, tenant isolation, audit logs and options for VPC/on‑prem deployments to meet enterprise needs. Pricing could follow the market model implied by the TAM: $30K ACV for mid+large customers and $1K ACV for SMBs, translating to the $9.6B market opportunity if you reach scale. Timing favors this effort: autonomous agents are driving demand for delegated access to users’ email, modern email APIs and serverless webhooks reduce integration friction, and transformer models materially improve token/link extraction and phishing detection versus regex. That said, success hinges on solving user consent, privacy/regulatory compliance (GDPR, CCPA), and reliable provider integrations—these are nontrivial and enterprise sales cycles will be long. To stand out, focus on measurably higher extraction accuracy and phishing false‑positive reduction using ML, strong security/compliance posture (SOC2, encryption, auditability), and a best‑in‑class developer experience (SDKs, low‑latency webhooks, retry semantics). Competition is medium: incumbents can cover parts of the stack, but a product that combines high extraction accuracy, enterprise controls and easy integration can capture disproportionate share—pursue this if you can commit to solving consent/compliance and maintaining high‑quality provider connectors.

Executive Summary

Market Opportunity

Capture OTPs & verification emails for AI agents via MCP or REST targets a $9.6B = 200k mid+large enterprises x $30K ACV + 1.6M SMBs x $1K ACV total addressable market with medium saturation and a year-over-year growth rate of 18% (developer APIs & automation adoption).

Key trends driving demand: Autonomous agents -- more apps want delegated access to user email for actions and verification, creating demand for robust ingestion; API-first infrastructure -- serverless functions, webhooks and modern email APIs lower integration friction and speed go-to-market; AI-powered extraction -- transformer NLU models improve token/link extraction and phishing detection versus fragile regex parsers; Privacy & security focus -- regulatory and user expectations push for short-lived tokens, encryption and auditable access controls.

Key competitors include Twilio SendGrid (Inbound Parse), Nylas, Mailgun (Inbound Routes & Parsing), Parseur / Mailparser (email parsing SaaS), Workarounds: Gmail API / Microsoft Graph / Zapier.

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Capture OTPs & verification emails for AI agents via MCP or REST

Executive Summary

Capture OTPs & verification emails for AI agents via MCP or REST

Executive Summary

Market Validation

Market Opportunity

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