Alternative · Analytics aggregator
Wandly vs
SimpleFunctions.
Same upstream venues. Wandly renders a filterable, calendar-aware analytics dashboard for human browsing of Polymarket and Kalshi markets across politics, sports, crypto, and entertainment. SimpleFunctions ships the agent layer above it: causal-tree thesis system, autonomous trading with a 7-gate risk cascade, computed indicators across 48K+ contracts, and a 56-tool MCP server that drops into Claude Code or Cursor in one command.
Verified 2026-04 · public sources only · live SF data from /calibration
Verdict
Pick the one that fits how
you actually work.
Choose SimpleFunctions if
You are building agents, autonomous trading systems, or research pipelines that need more than a browsable dashboard — calibrated probabilities with public Brier scores, causal-tree thesis modelling with auto-evaluation cycles, regime classification across the full 48K-contract universe, computed indicators (implied yield, cliff risk index, liquidity availability score, event overround), a 56-tool MCP server, and an autonomous portfolio agent with a 1M-context LLM and a 7-gate risk cascade before any execution.
Choose Wandly if
You want a human-facing UI for browsing prediction markets by category and calendar date. Wandly's filter and calendar view is purpose-built for that workflow — covering politics, sports, crypto, and entertainment on Polymarket and Kalshi without any API integration or code required.
Same upstream venues (Kalshi + Polymarket). Wandly is a calendar-aware analytics dashboard for human browsing. SimpleFunctions is the agent layer above it: thesis system, autopilot, indicators, MCP. Different surfaces, mostly different audiences.
At a glance
Three things that
actually differ.
Everything Wandly gives you — filterable analytics across Kalshi and Polymarket, multi-category coverage spanning politics, sports, crypto, and entertainment — SimpleFunctions also gives you, on the same underlying feeds.
On top of that, SF ships a causal-tree thesis system, an autonomous trading agent (Portfolio Autopilot, 1M-context LLM, 7-gate risk cascade), computed indicators across 48K+ contracts, and 56 MCP tools that no current PM analytics dashboard exposes.
SF also publishes live Brier scores at /api/calibration — Kalshi 0.20, Polymarket 0.12 on T-24h price, past 90 days — so you can audit the accuracy of the world model you are building on.
Side by side
10 dimensions · verified 2026-04SimpleFunctionsKalshi + Polymarket normalised, 48K+ active contracts indexed and queryable via REST API, CLI, and MCP.
WandlyKalshi + Polymarket covered across politics, sports, crypto, and entertainment categories via a browser dashboard.
SimpleFunctionsProgrammatic filters via /api/public/scan and /api/public/query — by category, keyword, venue, price bucket, and regime label.
WandlyUI-based filter controls across categories and venues, designed for human browsing without any API call.
SimpleFunctionsτ-days (time-to-settlement) pre-computed per contract at /screen and via the API, sortable programmatically by settlement date.
WandlyCalendar view surfacing upcoming market deadlines — a purpose-built feature for date-aware, no-code browsing.
SimpleFunctionsGET /api/public/market/{ticker}?depth=true returns bid/ask ladder, spread, and slippage estimate.
WandlyNot confirmed in public documentation.
SimpleFunctionsImplied yield, cliff risk index, liquidity availability score, event overround, and regime label pre-computed across 48K+ contracts at /screen.
WandlyRaw filterable analytics; derived indicators are not published in public documentation.
SimpleFunctionsLive Brier scores at /api/calibration — segmented by venue, category, and price bucket over the past 90 days.
WandlyNot published in public documentation.
SimpleFunctionsPOST /api/thesis/create decomposes any sentence into a causal tree, scans Kalshi and Polymarket for edges, and runs an ongoing evaluation heartbeat with news scan and price refresh.
WandlyNot in scope; Wandly is an analytics dashboard, not a thesis-modelling or signal-tracking product.
SimpleFunctionsPortfolio Autopilot — 1M-context LLM, 13 data sources, 7-gate risk cascade (kill switch, position limits, drawdown gate, regime check) before any execution.
WandlyNot in scope.
SimpleFunctions56 tools via claude mcp add simplefunctions --url https://simplefunctions.dev/api/mcp/mcp — works with Claude Code, Cursor, any MCP client.
WandlyNo MCP server published.
SimpleFunctionsPublic REST + MCP + CLI reads require no auth; thesis and intent execution is free up to 15M tokens, then pay-per-token.
WandlyNot published in public documentation reviewed for this page.
Methodology
Verified 2026-04 from public sources only — Wandly's documentation, public website, and publicly observable behaviour. We never claim non-public information about Wandly's internals. SimpleFunctions claims on this page are computed live from /api/calibration, /api/public/cross-venue/pairs, and /api/public/markets — you can re-verify them yourself with curl.
Use cases
Same data, different
best fit per scenario.
Scenario 01
Building an AI agent that monitors prediction market positions and surfaces tradeable edges automatically.
SimpleFunctions · best fit
SF's world snapshot endpoint (/api/agent/world) delivers ~800 tokens of current market state, and the MCP server exposes 56 tools for Claude Code or Cursor to query markets, run scans, and inject signals into running theses. The agent layer is the product.
Wandly
Wandly is a human-facing dashboard; no public REST API or MCP server is documented for agent integration.
Scenario 02
Browsing upcoming market settlement dates by category to decide where to allocate research time.
SimpleFunctions
SF exposes τ-days (time-to-settlement) as a pre-computed field at /screen and via the API, but the interface is programmatic rather than calendar-visual.
Wandly · best fit
Wandly's calendar view is purpose-built for this workflow — browse markets by settlement date across politics, sports, crypto, and entertainment without writing a line of code. This is where they win.
Scenario 03
Decomposing a complex thesis into tradeable sub-claims and tracking confidence as new information arrives.
SimpleFunctions · best fit
SF's thesis system (POST /api/thesis/create) decomposes the thesis into a causal tree of testable sub-claims, scans Kalshi and Polymarket for edges, and runs an evaluation heartbeat that refreshes probabilities as news arrives. Public theses are forkable.
Wandly
Wandly provides filterable market analytics but does not model causal dependencies between claims or run automated evaluation cycles.
Scenario 04
Auditing model accuracy before deploying an agent that trades on probability estimates.
SimpleFunctions · best fit
SF publishes live Brier scores at /api/calibration — segmented by venue, category, and price bucket — so you can verify the accuracy of the underlying world model before building on it.
Wandly
Wandly does not publish calibration or Brier score data in its public documentation.
Live data
The SimpleFunctions claims on this page are not marketing copy. Brier scores, market counts, and cross-venue pair counts are computed live from /calibration, /screen, and /api/public/cross-venue/pairs. All public, all free, all CC-BY-4.0.
FAQ
What is SimpleFunctions and how does it differ from a prediction market dashboard like Wandly?+
SimpleFunctions is an agent-first API, CLI, and MCP server that sits above raw prediction market data. Where Wandly renders a filterable, calendar-aware dashboard for human browsing, SF exposes the same Kalshi and Polymarket data via a programmatic layer — plus a causal thesis system, autonomous trading agent, pre-computed indicators, and a 56-tool MCP server for agent integration. The surfaces are different: Wandly is built for human eyes; SF is built for agents and developers.
How does SimpleFunctions' thesis system work?+
POST /api/thesis/create takes any natural-language sentence and decomposes it into a causal tree of testable sub-claims. SF then scans Kalshi and Polymarket for contracts corresponding to each node, propagates probabilities up the tree, and runs an ongoing evaluation heartbeat — news scan, price refresh, milestone check, LLM evaluation, confidence update. You can inject external signals via /api/thesis/{id}/signal and fork any public thesis. No other prediction market product has this.
Does Wandly have a public REST API I can call from code?+
Wandly's public documentation describes a browser-based analytics dashboard. No public REST API is documented as of 2026-04. If you need programmatic access to cross-venue prediction market data, SF's REST API, CLI, and MCP server are the intended interface — no auth required for read operations.
What is Portfolio Autopilot?+
Portfolio Autopilot is SF's autonomous trading agent. It runs a 1M-context LLM across 13 data sources and passes every candidate trade through a 7-gate risk cascade — kill switch, position limits, drawdown gate, regime check, and more — before any order is placed. It is designed for researchers and systematic traders who want autonomous execution with explicit risk controls, not a point-and-click dashboard.
How do I connect SimpleFunctions to Claude Code or Cursor?+
Run: claude mcp add simplefunctions --url https://simplefunctions.dev/api/mcp/mcp. That registers all 56 SF tools — market search, thesis creation, orderbook depth, cross-venue arbitrage scanner, calibration data — directly in your MCP client. No API key required for read operations. The MCP server conforms to the standard protocol and works with any compliant client.
What computed indicators does SimpleFunctions provide?+
SF pre-computes six indicators across its 48K+ active contracts: IY (implied yield), CRI (cliff risk index, measuring binary cliff proximity), LAS (liquidity availability score), EE (event overround, measuring market-maker margin), τ-days (time to settlement), and a regime label that classifies contracts by adverse-selection risk. All are available at /screen and via the API without authentication.
Does Wandly cover the same venues as SimpleFunctions?+
Both cover Kalshi and Polymarket. Wandly's public documentation describes filterable analytics across politics, sports, crypto, and entertainment on those venues — surfaced through a calendar-aware dashboard UI. SF normalises the same feeds into a unified index of 48K+ active contracts with cross-venue matched pairs, arbitrage detection, and computed indicators — accessible programmatically rather than through a browser interface.
Start for free.
Public endpoints are free for normal usage and rate-limited for reliability. Authenticated endpoints are free up to 15M tokens, then pay per token. No credit card to start.