TrueCast API is a paid API for AI agents from true-cast-agent.vercel.app, paid per call via x402, $0.1/call, status down (last checked 2026-10-13).
Fact-checks and verifies claims or questions using real-time data from prediction markets, news, DeFi, and social sources, returning a truth assessment with confidence score.
TrueCast API - News aggregator and fact-checking service grounded by prediction markets. Real-time data sources include Perplexity, X AI, Tavily, Neynar, Pyth, DeFiLlama, Truemarkets, Zerion, Allora and more.
Returns the original query, a detailed fact-checked reply with analysis, a truth assessment enum (TRUE/FALSE/PARTIALLY_TRUE/UNVERIFIABLE/MARKET_SENTIMENT), a confidence score, metadata including sources used and processing time, and optionally IPFS storage details and guardrail validation results.
POSThttps://true-cast-agent.vercel.app/api/trueCast?utm_source=zero.xyzUse TrueCast when you need real-time, multi-source fact-checking grounded in prediction market data alongside on-chain DeFi, crypto price, and social (Farcaster/X) signals — especially for claims in the crypto, Web3, or financial news space. Prefer over generic LLM fact-checking when you need a structured TRUE/FALSE/PARTIALLY_TRUE verdict with a confidence score.
| Field | Type | Description |
|---|---|---|
| promptrequired | string | The statement, claim, or question to fact-check and verify |
| castHash | string | Optional Farcaster cast hash for context-specific verification |
| runGuardrail | boolean | Whether to run AWS Bedrock Guardrails validation (default: false) |
| storeToPinata | boolean | Whether to store the response to IPFS via Pinata (default: false) |
| Field | Type | Description |
|---|---|---|
| ipfs | object | IPFS storage information (if storeToPinata was true) |
| queryrequired | string | The original user query that was processed |
| replyrequired | string | The fact-checked response with analysis and conclusions |
| metadatarequired | object | |
| guardrail | object | AWS Bedrock Guardrails validation results (if runGuardrail was true) |
| assessmentrequired | string | The final truth assessment of the query |
| data_sources | array | Information from data sources used in verification |
| confidenceScorerequired | number | Confidence level in the assessment (0-100) |
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