← Back to search
45
Partial
Agentic Readiness Score
ai-tools llms-txtapifintech

Agentic Signals

📄
Found
🤖
ai-plugin.json
Not found
📖
OpenAPI Spec
Not found
🔗
Structured API
Found
🛡
Not specified
🏷
Schema.org Markup
Found
MCP Server
Not found

Embed this badge

Show off your agentic readiness — the badge auto-updates when your score changes.

Agentic Ready 45/100

            

llms.txt Content

# Rekko AI > Prediction market intelligence API — deep AI research, causal analysis, and trading signals for Kalshi, Polymarket, and Coinbase. Rekko AI is the intelligence layer for prediction market trading bots, apps, and agents. It runs multi-stage AI research pipelines that produce probability estimates, Bayesian causal decomposition of price drivers, portfolio-aware trading signals, cross-platform arbitrage detection, and execution guidance. Covers Kalshi (CFTC-regulated), Polymarket (crypto), Robinhood (mainstream retail), and Coinbase (Kalshi-powered). Clean flat JSON designed for developers and autonomous trading agents. Base URL: `https://api.rekko.ai/v1` Auth: Bearer token (`Authorization: Bearer rk_free_...` or `rk_pro_...`) OpenAPI spec: `https://api.rekko.ai/openapi.json` ## Docs - [Quickstart](https://rekko.ai/docs/quickstart): Get an API key and make your first call in 5 minutes - [Authentication](https://rekko.ai/docs/authentication): Bearer tokens, key prefixes, key rotation, error responses - [Pricing](https://rekko.ai/docs/pricing): Endpoint tiers (LISTING $0.01, INSIGHT $0.10, STRATEGY $2.00, DEEP $5.00), subscription plans (Free/Pro/Enterprise) - [API Reference](https://rekko.ai/docs/api-reference/introduction): Full endpoint reference with interactive playground ## Core Concepts - [Markets](https://rekko.ai/docs/concepts/markets): Market identifiers, object schema, price interpretation, lifecycle, platform differences - [Analysis Pipeline](https://rekko.ai/docs/concepts/analysis-pipeline): Async 3-step pattern (trigger, poll, retrieve), analysis object, caching and freshness - [Signals](https://rekko.ai/docs/concepts/signals): Signal schema, recommendation types, edge calculation, Kelly-derived sizing, risk ratings - [Causal Decomposition](https://rekko.ai/docs/concepts/causal-decomposition): Weighted Bayesian factors with evidence, prior/posterior updates, aggregation methods - [Expand Parameter](https://rekko.ai/docs/concepts/expand-