How do AI spreadsheets work?

Sparkco AI transforms natural language into powerful spreadsheets instantly. Just describe what you need in plain English, and our AI agents build formulas, charts, pivot tables, and connect your data sources automatically. No manual Excel work required.

What data sources can I connect?

Connect to databases (PostgreSQL, MySQL, MongoDB), SaaS tools (Stripe, QuickBooks, Salesforce), EHR systems (PointClickCare, Epic), cloud storage, and REST APIs. Our AI automatically syncs and analyzes your data in real-time.

Is Sparkco AI secure for sensitive data?

Yes. Sparkco AI is fully HIPAA compliant and SOC 2 Type II certified. We maintain enterprise-grade security with data encryption, access controls, and regular audits. BAA available for healthcare customers.

How is this different from Excel or Google Sheets?

Traditional spreadsheets require manual formula building and data entry. Sparkco AI builds everything automatically from natural language, connects live data sources, and provides intelligent analysis. It's like having an expert analyst build spreadsheets for you in seconds.

Can I use this for healthcare operations?

Yes. Sparkco AI provides specialized healthcare solutions including patient referral screening, admissions automation, and voice-powered EHR documentation. Our agentic EHR infrastructure transforms skilled nursing facility operations.

How quickly can I get started?

Start building AI spreadsheets immediately - no setup required. For healthcare solutions, most facilities are operational within 2-4 weeks including EHR integration and staff training.

Best Prediction Market CLI Tools 2026

Name: Sparkco AI Spreadsheet Agent
Brand: Sparkco AI

## Why Trade Prediction Markets from the Terminal? Prediction markets are finally mature enough to trade programmatically. Kalshi processes billions in volume, Polymarket dominates crypto-native event contracts, and a new wave of CLI tools makes it possible to scan, analyze, and execute from your terminal — no browser needed. This matters because prediction markets move on information, not speed. The edge isn't in milliseconds of latency — it's in having a structured thesis and knowing when market prices diverge from your model. A good CLI tool makes that workflow fast and repeatable. ## The Landscape in 2026 ### Raw Kalshi API Kalshi's REST API (`api.elections.kalshi.com/trade-api/v2`) is well-documented and stable. You can fetch markets, place orders, and read your portfolio. Authentication uses RSA-PSS signing — not trivial to set up, but secure. # Fetch a market directly curl https://api.elections.kalshi.com/trade-api/v2/markets/KXRECSSNBER-26 **Pros:** Full control, no dependencies. **Cons:** You're building everything from scratch — signing, error handling, data formatting, edge detection logic. ### SimpleFunctions CLI [SimpleFunctions](https://simplefunctions.dev) wraps the complexity into a single CLI: npm install -g @spfunctions/cli sf setup sf scan "recession 2026" What makes it different from a raw API wrapper: - **Thesis engine**: `sf create "Oil stays above through 2026"` decomposes your thesis into a causal tree, scans both Kalshi and Polymarket for contracts where market prices diverge from thesis-implied values - **Edge detection**: `sf edges` shows you the top mispriced contracts across all your theses, ranked by executable edge (theoretical edge minus spread) - **Heartbeat monitoring**: Every 15 minutes, the server scans news, refreshes prices, and re-evaluates your thesis. You just read the output - **Interactive agent**: `sf agent` gives you a natural language interface with 21+ tools — positions, orderbook analysis, what-if scenarios, trade execution ### Polymarket via API Polymarket's API is less structured than Kalshi's. You're querying a CLOB (Central Limit Order Book) on Polygon. Tools like `py-clob-client` exist for Python, but there's no official CLI. SimpleFunctions scans Polymarket markets during thesis formation and edge detection, so you get cross-venue coverage without managing two API integrations. ## Head-to-Head: What Matters | Feature | Raw Kalshi API | SimpleFunctions CLI | Polymarket API | |---------|---------------|-------------------|----------------| | Setup time | Hours (RSA signing) | 2 minutes | Hours (wallet + CLOB) | | Market scanning | Manual queries | `sf scan "keyword"` | Manual | | Edge detection | Build yourself | Built-in | Build yourself | | Orderbook analysis | Parse JSON yourself | `sf liquidity` | Parse yourself | | Position tracking | GET /portfolio | `sf positions` with P&L | Manual | | Automated monitoring | Build yourself | Heartbeat engine | Build yourself | | Trading | POST /orders | `sf buy` with confirmation | Sign transactions | | Agent mode | N/A | `sf agent` (21+ tools) | N/A | | Cross-venue | Kalshi only | Kalshi + Polymarket | Polymarket only | ## Getting Started If you're evaluating tools, start here: # Install — no API key needed for scanning npm install -g @spfunctions/cli # Scan markets (free, no auth) sf scan "oil recession iran" # See what's liquid sf liquidity --topic oil # Full setup (API key for thesis features) sf setup The scan and liquidity commands work without any authentication — try them before committing to a key. For the full agent guide, see the [SimpleFunctions documentation](https://simplefunctions.dev/docs/guide). ## When to Use What **Use raw Kalshi API** if you're building a custom trading system with specific requirements the CLI can't meet, or if you need sub-second order execution. **Use SimpleFunctions CLI** if you want thesis-driven trading with built-in edge detection, monitoring, and cross-venue scanning. It's the fastest path from "I have a macro view" to "I have positions that express it." **Use Polymarket API** if you're specifically trading crypto-native event contracts and need on-chain settlement. Most serious prediction market traders in 2026 are using a combination — SimpleFunctions for analysis and monitoring, with direct API access for custom execution logic when needed.