Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

2.9 KiB

name description version author tags
polymarket Query Polymarket: markets, prices, orderbooks, history. 1.0.0 Hermes Agent + Teknium
polymarket
prediction-markets
market-data
trading

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