Bewary VS DynamicDocumentAPI

Bewary's answer

The API launched on 1 November 2026, and there are no customers to name yet.

DynamicDocumentAPI's answer:

Dynamic Document API is a young product. Our users are mostly developers and small SaaS teams, and we don't name customers without their permission.

Bewary's answer

Bewary started as a consumer scam checker. The engine behind it, built on public complaint data, threat feeds, certificate transparency logs and its own DNS history, turned out to be what businesses and AI agents need, so since November 2026 Bewary is an API, an MCP server and a CLI.

DynamicDocumentAPI's answer:

Almost every product eventually needs to produce documents, and most teams end up building their own rendering stack: a headless browser, fonts, page breaks, storage and retries. It works until an invoice splits a table row or a certificate shows the wrong date, and then it becomes a support ticket. We built Dynamic Document API to be that layer for them: templates, rendering and delivery as one service, hosted in Europe, treating pagination, fonts and formatting as engineering problems rather than edge cases. When e-invoicing became mandatory for B2B in Germany, we added validated XRechnung and ZUGFeRD output, and with AI agents producing more paperwork, an MCP server followed.

Bewary's answer

Bewary answers from evidence, not from a language model. Each lookup returns a verdict (scam, suspicious, safe or unknown), the probability that it is a scam, the facts behind it and reason codes your code can branch on, and unknown is never safe. One key covers links, domains, IP addresses, phone numbers, SMS short codes, email addresses, crypto wallets, IBANs, mobile apps and payment handles, through a REST API, a remote MCP server for AI agents and a CLI.

DynamicDocumentAPI's answer:

It covers the whole path from data to finished document in one API: you design a template in a visual or HTML editor (or send raw HTML, CSS or Markdown), send JSON, and get a PDF or image back. The same service also creates e-invoices (XRechnung, EN 16931, Factur-X / ZUGFeRD) that are validated against the official rules before they are returned, and can embed them in the PDF. Rendering is deterministic: the same template and data always give the same document, laid out by a headless browser, with no AI model generating content. Everything runs in the EU (Germany). It also ships an MCP server, so AI agents like Claude and ChatGPT can render documents directly.

Bewary's answer

One key and one typed response format cover ten kinds of input, so an app or an agent does not stitch together a URL API, a phone API and a wallet screening service. Bewary also answers questions few APIs do: which company operates a US SMS short code, the FTC and FCC complaints behind a phone number, and whether Tether or Circle froze a wallet. Commercial use is allowed, and a free key gets 1,000 credits a month with no card.

DynamicDocumentAPI's answer:

Most document APIs do one thing: convert HTML to PDF, or fill templates. Dynamic Document API does both, adds image templates, PDF merging and validated e-invoices, and offers them through a REST API, SDKs for Node and Python, Zapier, Make, n8n and an MCP server for AI agents. Data is processed and stored in the EU only, files come back as signed links that expire, and storing nothing at all is a supported option. Pricing is predictable: one published credit table, the same core features on every paid plan and a spend cap you control. We also publish a render-time benchmark with its method and raw data, so you can check our speed instead of trusting a claim. The free plan includes 50 renders a month without a credit card.

Bewary's answer

Developers who add a link, phone number or email check to an app; builders of AI agents that need to check a link, number or payment before acting; trust and safety and fraud teams screening sign-ups, sellers and payouts; and security teams loading a scam domain feed into a DNS resolver or a threat intelligence platform.

DynamicDocumentAPI's answer:

Developers and product teams whose software has to send documents: invoices after a payment, certificates after a course, reports, labels and statements. Typical users are SaaS companies, marketplaces, e-commerce and learning platforms. A second group are businesses in Germany and the EU that need compliant e-invoices (XRechnung, ZUGFeRD) for the German B2B e-invoicing mandate and public-sector buyers. No-code builders use it through Zapier, Make and n8n, and teams building AI agents use the MCP server.

Bewary's answer

Python with FastAPI and PostgreSQL behind the API, a remote MCP server over streamable HTTP with OAuth 2.1 sign-in, a Node.js CLI published on npm as bewary, and an Astro website.

DynamicDocumentAPI's answer:

Rendering runs in Rust workers that drive headless Chromium over the DevTools protocol, with MiniJinja for templates. The API and control plane are built with Django and Django REST Framework, with Celery, PostgreSQL, Valkey and NATS JetStream for queues and events, and S3-compatible object storage for files. PDF/A output is checked with veraPDF and e-invoices with the official KoSIT validator. The dashboard and website are built with Next.js. Everything runs on Kubernetes in data centres in Germany.