Swarm Intellect VS DynamicDocumentAPI

Swarm Intellect's answer

Most crypto analytics platforms show you what happened. We show you what whales are doing right now. We track 135 individual whale wallets on derivatives, score their accuracy over time, and surface a consensus signal from their collective positioning. When the sharpest wallet on our board (89.5% accuracy across 200 calls) opens a $65M short, you see it in real time. Nobody else tracks individual whale accuracy and lets you filter by win rate.

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.

Swarm Intellect's answer

It's free. Glassnode and Nansen charge $150-300/month for similar on-chain intelligence. We give you live whale positioning, retail divergence, liquidation heatmaps, and a verified track record at zero cost. We also show you something competitors don't — the gap between what whales are doing and where retail is positioned. That divergence signal has historically predicted moves before they happen.

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.

Swarm Intellect's answer

Crypto traders who want to know what smart money is doing before they make a trade. Mostly swing traders and intraday traders who check whale positioning as part of their daily routine. Also developers building trading tools who use our free API for whale data.

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.

Swarm Intellect's answer

I was trading crypto and kept getting caught on the wrong side of whale moves. So I started tracking the top-performing wallets on derivatives exchanges, scoring their accuracy, and building a consensus signal from their positions. What started as a personal tool became a full platform when I realized other traders wanted the same edge. Built it solo, launched in February 2026, and it's been growing through Reddit and word of mouth since.

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.

Swarm Intellect's answer

Python and FastAPI on the backend, React on the frontend, PostgreSQL for storing millions of position records. Real-time data collection from multiple derivative exchange APIs. TradingView Lightweight Charts for interactive visualizations.

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.

Swarm Intellect's answer

We serve individual crypto traders and developers across 50+ countries. Our users range from day traders checking whale positioning before trades to developers integrating our free API into their trading bots.

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.