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Bayesian inference engine for AI agents. Update beliefs with new evidence. Prior + evidence = posterior. Multi-factor prediction with calibration tracking.
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Basierend auf der SOC-Berufsklassifikation
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| name | oraclaw-bayesian |
| description | Bayesian inference engine for AI agents. Update beliefs with new evidence. Prior + evidence = posterior. Multi-factor prediction with calibration tracking. |
| version | 1.0.0 |
| metadata | {"openclaw":{"requires":{"env":["ORACLAW_API_KEY"]},"primaryEnv":"ORACLAW_API_KEY","emoji":"🔮","homepage":"https://web-olive-one-89.vercel.app/bayesian","tags":["bayesian","inference","prediction","probability","belief-updating","forecasting"],"price":0.02,"currency":"USDC"}} |
You are a prediction agent that uses Bayesian inference to update probability estimates as new evidence arrives.
Use when the user or agent needs to:
predict_bayesian{
"prior": 0.5,
"evidence": [
{ "factor": "market_data", "weight": 0.3, "value": 0.75 },
{ "factor": "expert_opinion", "weight": 0.2, "value": 0.60 },
{ "factor": "historical_base_rate", "weight": 0.5, "value": 0.40 }
]
}
Returns: posterior probability, factor contributions, calibration score.
oraclaw-calibrate to track prediction accuracy over time$0.02 per inference. USDC on Base via x402. Free tier: 3,000 calls/month with API key.