SNACS v2.0: The 20-Chart Workspace, Four AI Chats, and a Data API + MCP Server for AI Assistants

SNACS v2.0 is live today. It is the largest release since the platform launched: a professional multi-chart workspace, AI chat built into the journal, playbook builder, and SEC research, a simplified two-tier plan structure, and, for the first time, programmatic access to the data engine itself through the SNACS Data API and an MCP server that AI assistants can query directly.

Here is what shipped, what it costs, and how to plug an AI assistant into live small-cap data in about two minutes.

The charts workspace

The new workspace at snacs.trade/charts runs grids of 1 to 20 charts per tab with independent tickers and timeframes per pane. Every plan gets unlimited chart history: scroll any ticker back through its entire listed life, across renames and reverse splits, on any timeframe, with no bar caps and no paywalled lookback. The technical library covers 100+ indicators with editable parameters, drawings persist with every layout, and symbol, interval, and crosshair sync across a tab.

Chart AI builds workspaces from plain English. Describe the layout ("quad view of GPUS with VWAP and RSI, sync the crosshair"), refine it turn by turn, then save it. Premarket and after-hours candles are first-class: the full 4 AM to 8 PM ET session is on the chart.

AI across the platform

v2.0 wires conversational AI into four surfaces:

• Journal coach: reviews your actual fills and exits against your own rules and the tape, not generic advice.
• Playbook builder chat: describe a setup in plain English and it assembles the detection logic, then hands off to the advanced editor.
• SEC research chat: ask questions against filings with grounded, quoted answers.
• Chart AI: the workspace builder above.

Two plans instead of a menu

Pricing collapsed to two flat tiers: Edge at $99/mo (the full trading toolkit: scanner, journal, playbooks, AI insights, SEC research) and Alpha at $199/mo (everything in Edge, the 20-chart multi-ticker workspace, never-expiring alerts, and 10x the AI quota). A 5 trading day free trial on Edge, cancel anytime. Details at snacs.trade/pricing.

The Data API

The engine behind the scanner and research suite is now a product: the SNACS Data API. It serves the dilution intelligence SNACS extracts from primary SEC filings (10-K, 10-Q, 8-K, S-1/3, 424B5, Form 4, 13F, 13G/D - more than 288,000 filings processed to date), plus live market snapshots, 22 years of daily OHLCV history, news, fundamentals, ownership, and a screener.

The endpoints that matter most:

• Dilution chain state: share counts, active shelf/ATM/warrant/convertible facilities with capacity and usage, cash runway, going-concern status.
• Point-in-time "as-of" queries: the company's exact state on any historical date - share checkpoint, facilities in force, events to that day. No lookahead bias, built for backtesting.
• Corporate events with receipts: every split, offering, and redomestication substantiated by a verbatim quote from the source filing, cited by accession number.
• A dilution screener over the covered universe: runway, active ATM/shelf flags, short interest, ownership.

Pricing follows the platform: flat $99 or $199 monthly, API and MCP access included in both tiers within plan rate caps (50/min on Edge, 1,000/min on Alpha). No metering, no prepaid credits, no per-call charges, no sales call. Docs at data.snacs.trade/docs, keys self-served from account settings.

The MCP server: plug your AI assistant into live market data

The piece we are most excited about: mcp.snacs.trade, a remote MCP (Model Context Protocol) server that gives AI assistants direct access to all of the above through 14 curated workflow tools. On claude.ai, it connects with one click through OAuth - no API key to copy. Claude Desktop, Claude Code, Cursor, VS Code Copilot, and Windsurf connect with a URL and an API key. Either way, no local install.

Once connected, your assistant can answer questions like:

• "Pull the full dilution chain state for this ticker - active shelfs, ATMs, warrants, converts."
• "What were this company's cash, float, and active facilities on 2024-12-31?"
• "Screen for stocks under $5 with an active ATM and less than 6 months of runway."
• "Summarize today's offering-related 8-Ks for my watchlist."

Connect in two minutes

On the web at claude.ai: Settings, Connectors, Add custom connector, name it SNACS with the URL https://mcp.snacs.trade, and leave the advanced fields empty. Click Connect, sign in with your SNACS account, and approve read-only access. That is the whole flow - OAuth 2.1 under the hood, no API key involved.

Claude Code:

claude mcp add --transport http snacs https://mcp.snacs.trade \
  --header "Authorization: Bearer snacs_sk_live_..."

Claude Desktop: Settings, Connectors, add a custom connector with the URL https://mcp.snacs.trade and your key as a bearer header. Cursor and VS Code configs, the full 14-tool reference, and runnable Python/JavaScript examples live on GitHub: snacs-mcp and snacs-api-examples. The server is listed in the official MCP registry as trade.snacs/snacs-data.

Why this matters for small-cap traders

Dilution is the defining risk in small-cap trading, and the data behind it is scattered across thousands of filings written to be skimmed past. SNACS extracts it forensically, keeps it current in real time, and now serves it three ways: in the platform, over a REST API, and directly inside the AI tools traders and builders already use. Every number traces back to a primary SEC filing.

v2.0 is live now at snacs.trade. Start with the 5 trading day trial, or if you are here for the data, the API page has the full endpoint matrix and the comparison table.