Alternative · Analytics aggregator
Polysights vs
SimpleFunctions.
Same upstream venue. Polysights surfaces Polymarket analytics — 30+ metrics, news cross-referencing, and AI-generated summaries for human dashboards. SimpleFunctions ships the agent layer above it: causal-tree thesis system, autonomous trading, computed indicators across 48K contracts on both Kalshi and Polymarket, and a 56-tool MCP server that drops into any AI agent 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 that needs more than a single-venue dashboard — calibrated probabilities with public Brier scores, causal-tree thesis modelling with auto-evaluation heartbeats, regime classification across the full 48K-contract universe, computed indicators (implied yield, cliff risk, liquidity availability score), cross-venue arbitrage pairs, and a 56-tool MCP server that integrates with Claude Code or Cursor in one command.
Choose Polysights if
You want a polished, human-readable Polymarket dashboard with 30+ pre-built analytics, automated news alerts, and AI-generated market summaries — and you do not need API access, cross-venue coverage, or agent-layer tooling. Polysights is built for human analysts who prefer a browser interface over raw API calls.
Polysights is a Polymarket dashboard for human analysts. SimpleFunctions is a cross-venue agent layer with thesis system, autopilot, indicators, and MCP. Different products, different audiences.
At a glance
Three things that
actually differ.
Everything Polysights gives you — Polymarket analytics, custom metrics, news cross-referencing, and AI-generated summaries — SimpleFunctions also gives you, across both Kalshi and Polymarket simultaneously.
On top of that, SF ships a causal-tree thesis system, an autonomous trading agent (Portfolio Autopilot, 1M-context LLM, 7-gate risk cascade), and 56 MCP tools that no current PM analytics product exposes.
SF also publishes live Brier scores for itself at /api/calibration — Kalshi 0.20, Polymarket 0.12 on T-24h price, past 90 days. Most competitors claim accuracy; we let you check ours.
Side by side
11 dimensions · verified 2026-04SimpleFunctionsKalshi + Polymarket normalised, 48K+ active contracts indexed across both venues.
PolysightsPolymarket only — cross-venue coverage is not part of the product scope.
SimpleFunctionsImplied yield, cliff risk index, liquidity availability score, event overround, τ-days, and regime label pre-computed across 48K contracts at /screen.
Polysights30+ proprietary metrics computed on Polymarket markets, served through a web dashboard.
SimpleFunctionsThesis evaluation heartbeat automatically scans news, refreshes prices, and updates confidence on a recurring cycle.
PolysightsNews cross-referencing and automated alerts built into the dashboard — a documented product feature.
SimpleFunctionsLive Brier scores at /api/calibration — by venue, category, and price bucket, past 90 days.
PolysightsNot published.
SimpleFunctionsArbitrage pairs at /api/public/cross-venue/pairs?preset=arb — matched Kalshi/Polymarket contracts with spread.
PolysightsPolymarket only; cross-venue pair matching is not in scope.
SimpleFunctionsGET /api/public/market/{ticker}?depth=true returns bid/ask ladder, spread, and slippage estimate.
PolysightsNot documented in publicly available product information.
SimpleFunctionsDecompose any thesis into a causal tree, inject signals at /api/thesis/{id}/signal, auto-evaluate on a heartbeat.
PolysightsNot in scope.
SimpleFunctionsPortfolio Autopilot — 1M-context LLM, 13 data sources, 7-gate risk cascade before execution.
PolysightsNot in scope.
SimpleFunctions56 tools via claude mcp add simplefunctions --url https://simplefunctions.dev/api/mcp/mcp.
PolysightsNo MCP server published.
SimpleFunctionsREST API (authenticated and unauthenticated), CLI (60+ commands, MIT-licensed), MCP server.
PolysightsWeb dashboard; no public REST API documented at time of writing.
SimpleFunctionsFree public REST + MCP + CLI for reads. Pay-per-token only on thesis/intent execution.
PolysightsPricing not publicly documented at time of writing.
Methodology
Verified 2026-04 from public sources only — Polysights's documentation, public website, and publicly observable behaviour. We never claim non-public information about Polysights'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
An AI agent needs to monitor prediction markets, identify emerging edges, and execute trades autonomously.
SimpleFunctions · best fit
SimpleFunctions provides the full agent stack: REST API, 56-tool MCP server, computed indicators (implied yield, cliff risk, liquidity score), and Portfolio Autopilot with a 7-gate risk cascade. The thesis system auto-evaluates causal claims against live market prices. Agents can consume the world snapshot at /api/agent/world and delta updates without authentication.
Polysights
Polysights is a web dashboard product for human analysts. It does not expose a documented public REST API or MCP interface, making it structurally unsuitable for agent-to-market pipelines.
Scenario 02
A human analyst wants to monitor Polymarket daily — metrics, news alerts, and AI summaries — without writing any code.
SimpleFunctions
SimpleFunctions is a programmatic layer, not a human dashboard. A user without coding requirements would need to build on top of the REST API or route through a chat interface with the MCP server. It is not the right fit for a no-code browser workflow.
Polysights · best fit
Polysights is built for this use case: a polished web interface with 30+ pre-built metrics, automated news alerts, and AI summaries require no technical setup. For a human analyst who wants to open a browser and get insights, Polysights is the natural fit.
Scenario 03
A researcher wants to decompose a geopolitical thesis into testable sub-claims and track which Kalshi or Polymarket contracts are mispriced.
SimpleFunctions · best fit
POST /api/thesis/create accepts the thesis as a natural-language sentence. SF decomposes it into a causal tree, maps each node to tradeable contracts on both venues, and runs a recurring evaluation heartbeat. Confidence propagates through the tree as markets move and news arrives.
Polysights
Polysights provides AI-generated summaries on individual Polymarket markets but does not offer causal-tree decomposition, cross-venue mapping, or an automated evaluation loop for multi-step theses.
Scenario 04
A quantitative researcher wants to verify the accuracy of a prediction market data provider before incorporating its signals into a model.
SimpleFunctions · best fit
SimpleFunctions publishes its own Brier scores at /api/calibration, segmented by venue, market category, and price bucket, computed against 90 days of settled contracts. Kalshi 0.20, Polymarket 0.12 on T-24h prices. You can replicate the calculation yourself with curl.
Polysights
Polysights does not publish equivalent calibration or accuracy benchmarks based on publicly available information.
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 the main difference between SimpleFunctions and Polysights?+
Polysights is a Polymarket-only analytics dashboard for human analysts — 30+ metrics, news alerts, and AI market summaries delivered through a web interface. SimpleFunctions is a cross-venue (Kalshi + Polymarket) API, CLI, and MCP server built primarily for AI agents and quantitative workflows. The core distinction is surface: Polysights is a human dashboard; SimpleFunctions is a programmatic layer that agents, models, and systems consume.
Does SimpleFunctions cover Polymarket as well as Polysights does?+
Yes. SimpleFunctions indexes Polymarket alongside Kalshi, returning normalised prices, orderbook depth, and computed indicators across the same contract universe Polysights covers. The additional layer is cross-venue matching: SF surfaces arbitrage pairs between Kalshi and Polymarket at /api/public/cross-venue/pairs?preset=arb, a capability that is structurally impossible in a single-venue product.
What is the SimpleFunctions thesis system and how does it work?+
POST /api/thesis/create accepts a natural-language claim. SF decomposes it into a causal tree of testable sub-claims, maps each node to tradeable Kalshi or Polymarket contracts, and runs an evaluation heartbeat: news scan, price refresh, milestone check, LLM evaluation, confidence update. Signals can be injected at /api/thesis/{id}/signal at any time. Public theses are forkable. No comparable analytics product exposes a causal-tree thesis pipeline.
What is Portfolio Autopilot and how does it manage risk?+
Portfolio Autopilot is SF's autonomous trading agent. It runs a 1M-context LLM against 13 data sources and passes every candidate trade through a 7-gate risk cascade: kill switch, position limits, drawdown gate, regime check, and additional guards before execution. Trades only execute when all gates clear. It is not a signal alert system — it is a full execution loop with risk management built in.
Does Polysights have a public REST API?+
Based on publicly available information, Polysights is offered as a web dashboard product. No public REST API or programmatic access layer has been documented on their public website. If you need to consume Polymarket data — or cross-venue data — programmatically inside an application or agent, SimpleFunctions's REST API, CLI, and MCP server are direct paths in with no authentication required for reads.
Can I use SimpleFunctions with Claude, Cursor, or other AI tools?+
Yes. SimpleFunctions ships a 56-tool MCP server. Adding it takes one command: claude mcp add simplefunctions --url https://simplefunctions.dev/api/mcp/mcp. Once connected, any MCP-compatible client — Claude Code, Cursor, or a custom agent — can query market prices, run thesis evaluations, fetch calibration data, and retrieve orderbook depth as native tool calls, with no additional authentication required for reads.
How does SF's live calibration data work?+
/api/calibration returns SimpleFunctions's own Brier scores segmented by venue, market category, and price bucket, computed against the past 90 days of settled contracts. Current readings: Kalshi 0.20, Polymarket 0.12 on T-24h prices. This lets you evaluate SF's forecast accuracy with the same methodology you would apply to any other forecaster. Polysights does not publish equivalent calibration data based on publicly available information.
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.