LangChain integration for AgentOracle — trust verification tools for AI agents.
pip install langchain-agentoracleBuilt something with AgentOracle? Hit an issue? We want to hear from you.
- GitHub Discussions — questions, ideas, show and tell: github.com/TKCollective/x402-research-skill/discussions
- X / Twitter — @AgentOracle_AI
- Issues — bugs and feature requests: open an issue in this repo
If you're evaluating AgentOracle for a project, drop a note in Discussions — we respond fast and can help with integration.
from langchain_agentoracle import AgentOracleVerifyTool, AgentOracleEvaluateTool
# Free preview verification
verify = AgentOracleVerifyTool()
result = verify.invoke("GPT-5 was released in March 2026")
# Full multi-source evaluation ($0.02 USDC via x402)
evaluate = AgentOracleEvaluateTool()
result = evaluate.invoke({
"content": "Bitcoin reached $100K in 2025. Ethereum moved to proof-of-stake in 2022."
})from langchain_openai import ChatOpenAI
from langchain.agents import AgentExecutor, create_openai_tools_agent
from langchain_agentoracle import AgentOracleVerifyTool, AgentOraclePreviewTool
llm = ChatOpenAI(model="gpt-4")
tools = [AgentOracleVerifyTool(), AgentOraclePreviewTool()]
# Agent can now verify claims before acting on them| Tool | Description | Price |
|---|---|---|
AgentOracleVerifyTool |
Quick claim verification via /preview | Free (10/hr) |
AgentOracleEvaluateTool |
Full 4-source verification with per-claim analysis | $0.02 USDC |
AgentOraclePreviewTool |
Research preview with confidence scoring | Free (10/hr) |
AgentOracle uses 4-source verification:
- Sonar — Primary research
- Sonar Pro — Deep research
- Adversarial — Actively tries to disprove claims
- Gemma 4 — Claim decomposition and confidence calibration
Returns per-claim verdicts (supported/refuted/unverifiable) with confidence scores (0.00-1.00).
- API: agentoracle.co
- npm SDK: agentoracle-verify
- GitHub: TKCollective/x402-research-skill
MIT