CogDx Pre-Trade Audit#

Cognitive verification layer for prediction market trades. Catches reasoning flaws before they become losses.

This is a template. The default signal is your agent's trade thesis — the skill audits the reasoning quality before execution. Remix it with stricter thresholds, additional bias checks, or custom fallacy detection. The skill handles all the plumbing (API calls, trade execution, safeguards). Your agent provides the reasoning to verify.

What it does#

1. Takes your trade reasoning (thesis, confidence, market context)
2. Runs cognitive diagnostics via CogDx API
3. Returns verdict: PROCEED / REVIEW / REJECT
4. Optionally executes trade if reasoning passes

Detects#

• Logical fallacies: anchoring, confirmation bias, sunk cost
• Calibration issues: overconfidence, underconfidence
• Reasoning gaps: missing evidence, circular logic

Usage#

python

from cogdx_pre_trade_audit import audit_and_trade

result = audit_and_trade(
    market_id="0x1234...",
    side="yes",
    amount=10.0,
    reasoning="BTC ETF approval likely based on SEC meeting notes...",
    confidence=0.85,
    min_validity=0.7,  # Minimum reasoning quality to proceed
    live=False  # Dry-run by default
)

if result["approved"]:
    print(f"Trade executed: {result['trade_id']}")
else:
    print(f"Trade blocked: {result['issues']}")

Environment Variables#

• SIMMER_API_KEY - Required. Your Simmer API key.
• COGDX_WALLET - Optional. Wallet address for CogDx credits.

Thresholds#

ParameterDefaultDescriptionmin_validity0.7Minimum reasoning quality score (0-1)block_on_errorTrueBlock trade if CogDx API unavailable

Why use this#

Most trading losses come from bad reasoning, not bad data. This skill catches:

• Trades based on anchoring (first number you saw)
• Confirmation bias (only seeing supporting evidence)
• Overconfidence (betting big on weak signals)

External verification you can't do yourself.

Credits#

Built by Cerebratech — cognitive diagnostics for agents.