langchain-citemesh

Official LangChain & CrewAI integration package for CiteMesh and the x402 Attention Economy.

Developed by Script Master Labs LLC (SDVOSB | SAM.gov UEI: G24VZA4RLMK3 | CAGE: 21U51).

Capabilities

1. Semantic Source Matching: Find authoritative, high-CiteScore sources for any research topic.
2. Automated x402 Settlement: Compensate content creators per citation on Base USDC with a 10% protocol fee.
3. Anti-Hallucination Claim Anchoring: Attach cryptographic Ed25519-signed provenance hashes to factual statements.

Quickstart

from langchain_citemesh import CiteMeshTool

mesh = CiteMeshTool(agent_wallet="0x4e14B249D9A4c9c9352D780eCEB508A8eB7a7700")

# 1. Match sources
matches = mesh.match_sources("Latest SEC Form 4 insider transactions")
print("Top source:", matches["sources"][0]["url"])

# 2. Attest and pay
receipt = mesh.attest_and_pay(source_url=matches["sources"][0]["url"])
print("Receipt ID:", receipt["attestation_id"])

# 3. Anchor a claim
anchor = mesh.anchor_claim(
    statement="HESM is on Reg SHO threshold list with 482k FTDs",
    source_url="https://mcp-x402.onrender.com/x402/ftd-threshold-list"
)
print("Anchor Hash:", anchor["cryptographic_anchor"]["hash"])