Données & RechercheSûr9393/100
Polymarket (Nous Research)
Query Polymarket: markets, prices, orderbooks, history.
ou envoie-le directement à ton agent.
Installer dans ton projet
$ curl -fsSL https://arboristhree.xyz/cli/install-skill.mjs -o /tmp/arboris-install-skill.mjs && node /tmp/arboris-install-skill.mjs polymarket__nousresearch-hermes-agent__optional-skills-finance-1642b33e1dcbNous Research
NousResearch/hermes-agent
Contenu à copier
--- name: polymarket description: "Query Polymarket: markets, prices, orderbooks, history." version: 1.0.0 author: Hermes Agent + Teknium license: MIT tags: [polymarket, prediction-markets, market-data, trading] platforms: [linux, macos, windows] metadata: origin: Nous Research --- # Polymarket — Prediction Market Data Query prediction market data from Polymarket using their public REST APIs. All endpoints are read-only and require zero authentication. See `references/api-endpoints.md` for the full endpoint reference with curl examples. ## When to Use - User asks about prediction markets, betting odds, or event probabilities - User wants to know "what are the odds of X happening?" - User asks about Polymarket specifically - User wants market prices, orderbook data, or price history - User asks to monitor or track prediction market movements ## Key Concepts - **Events** contain one or more **Markets** (1:many relationship) - **Markets** are binary outcomes with Yes/No prices between 0.00 and 1.00 - Prices ARE probabilities: price 0.65 means the market thinks 65% likely - `outcomePrices` field: JSON-encoded array like `["0.80", "0.20"]` - `clobTokenIds` field: JSON-encoded array of two token IDs [Yes, No] for price/book queries - `conditionId` field: hex string used for price history queries - Volume is in USDC (US dollars) ## Three Public APIs 1. **Gamma API** at `gamma-api.polymarket.com` — Discovery, search, browsing 2. **CLOB API** at `clob.polymarket.com` — Real-time prices, orderbooks, history 3. **Data API** at `data-api.polymarket.com` — Trades, open interest ## Typical Workflow When a user asks about prediction market odds: 1. **Search** using the Gamma API public-search endpoint with their query 2. **Parse** the response — extract events and their nested markets 3. **Present** market question, current prices as percentages, and volume 4. **Deep dive** if asked — use clobTokenIds for orderbook, conditionId for history ## Presenting Results Format prices as percentages for readability: - outcomePrices `["0.652", "0.348"]` becomes "Yes: 65.2%, No: 34.8%" - Always show the market question and probability - Include volume when available Example: `"Will X happen?" — 65.2% Yes ($1.2M volume)` ## Parsing Double-Encoded Fields The Gamma API returns `outcomePrices`, `outcomes`, and `clobTokenIds` as JSON strings inside JSON responses (double-encoded). When processing with Python, parse them with `json.loads(market['outcomePrices'])` to get the actual array. ## Rate Limits Generous — unlikely to hit for normal usage: - Gamma: 4,000 requests per 10 seconds (general) - CLOB: 9,000 requests per 10 seconds (general) - Data: 1,000 requests per 10 seconds (general) ## Limitations - This skill is read-only — it does not support placing trades - Trading requires wallet-based crypto authentication (EIP-712 signatures) - Some new markets may have empty price history - Geographic restrictions apply to trading but read-only data is globally accessible
Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Polymarket (Nous Research)
User asks about prediction markets, betting odds, or event probabilities
User wants to know "what are the odds of X happening?"
User asks about Polymarket specifically
User wants market prices, orderbook data, or price history
Comment utiliser Polymarket (Nous Research)
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Polymarket (Nous Research)
Dis simplement à ton agent quelque chose comme :
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