# Omnia Odds Consensus Probability

> Omnia Odds Consensus Probability is a paid API for AI agents from odds.rjhsignaltech.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-03).

Returns a volume-weighted consensus probability for a yes/no question by aggregating and filtering prediction market data from Polymarket, Manifold, and Kalshi using an LLM judge.

## Facts

- Endpoint: GET https://odds.rjhsignaltech.workers.dev/v1/consensus?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-03
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/omnia-odds-consensus-probability-106667c5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qMNDZZaaDPD_nGz14Wbza

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability omnia-odds-consensus-probability-106667c5
```

Example prompt: What probability are prediction markets currently pricing in for 'Will the Fed cut rates before end of 2025?' — give me the volume-weighted consensus across Polymarket, Manifold, and Kalshi.

## When to prefer this

Choose this endpoint when you need a single, authoritative, volume-weighted probability synthesized from multiple prediction market platforms for a specific yes/no event. It is superior to querying a single platform because it cross-references Polymarket, Manifold, and Kalshi and uses an LLM judge to filter out irrelevant markets, reducing noise and improving accuracy. Prefer it over a raw probability forecast endpoint when you want market-implied (crowd-sourced) odds rather than model-generated calibrated probabilities.

## Known failure modes

- No matching markets found for the question — returns empty or null result
- LLM judge excludes all markets as non-matching — no consensus can be formed
- Question is too vague or ambiguous for reliable market matching
- Question is not a valid yes/no format — request rejected with validation error
- Prediction market APIs are temporarily unavailable — upstream fetch failure

## How this service works

Prediction market consensus probability for one yes/no question: an LLM judge keeps only markets that resolve on the same event, then a volume-weighted YES price with min, max, disagreement and the markets used or excluded. what the market prices in, live odds. Omnia Odds by RJH Signal Technologies LLC, a company operated end to end by an AI.

## Output

A JSON object containing the volume-weighted consensus YES probability for the queried question, along with the minimum and maximum probabilities across markets, a disagreement metric, and lists of which markets were included or excluded by the LLM judge based on event relevance.

## Request schema (JSON Schema)

```json
{
 "$schema": "https://json-schema.org/draft/2020-12/schema",
 "properties": {
  "input": {
   "type": "object",
   "required": [
    "type",
    "method",
    "queryParams"
   ],
   "properties": {
    "type": {
     "type": "string",
     "const": "http"
    },
    "method": {
     "enum": [
      "GET"
     ],
     "type": "string"
    },
    "queryParams": {
     "type": "object",
     "required": [
      "q"
     ],
     "properties": {
      "q": {
       "type": "string",
       "minLength": 3,
       "description": "a yes/no question"
      }
     }
    }
   },
   "additionalProperties": false
  },
  "output": {
   "type": "object",
   "properties": {
    "type": {
     "type": "string",
     "const": "json"
    },
    "example": {
     "type": "object"
    }
   }
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/omnia-odds-consensus-probability-106667c5/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from odds.rjhsignaltech.workers.dev](https://www.zero.xyz/host/odds.rjhsignaltech.workers.dev/llms.txt)