textai-mlai-agentsmcp-securityllm-fine-tuningsoliditysmart-contractscybersecuritycode-auditing

Solidity & AI Agent Security Remediation Benchmark v4 (1,600-Row Full Edition)

Updated Nov 11, 2026

$349

Fixed price

Sample structure: Not assessed

0 download links issued

Seller: ray

Already have an account? Log in

Have an API key? Use the REST API →

Source, license and coverage

Supplier documentation. These claims are separate from the automated sample score. A listing edit date is not a data freshness date.

License: Oxford Digital Commercial Data License v1.0
Source / creator: Oxford Digital
Collection method: Programmatically curated and verified Solidity v0.8+ smart contract and Python/TypeScript AI agent/MCP/RAG defensive remediation pairs; automated PII scrubbing and SHA-256 deduplication.
Coverage start: Not applicable
Coverage end: Not applicable
Data last updated: Not documented
Update schedule: Fixed v4 commercial release snapshot (1,600 verified records)

Source documentation ↗

License terms ↗

Sample structure score: Not assessed

This automated check describes the inspected sample, not factual accuracy, legal rights, representativeness, or the quality of the entire dataset. It is not a customer rating.

This sample format is not supported for structured assessment

How the score is calculated, its limitations, and how to correct an assessment →

About this data

Curated by Oxford Digital (oxforddigitals.com). 1,600 unseen code security & remediation pairs combining 800 Solidity v0.8.20-0.8.26 smart contract audit/patch records and 800 Python/TypeScript AI Agent, MCP tool server, RAG context-isolation, Text-to-SQL, and RLVR grader hardening records. Packaged in Apache Parquet, UTF-8 CSV, and JSONL with SHA-256 checksums. Built for LLM fine-tuning (SFT/DPO/GRPO/RLVR), AI coding copilots, and automated security benchmark evaluation. Cryptographically verified for zero overlap with public Hugging Face v1-v3 corpora.

Retrieve with your agent or Python

Create an account and configure DATABAZAAR_API_KEY. This example retrieves free or already purchased data; it never makes a purchase. For a multi-file dataset, choose a file index from the manifest.

Download the Python example

python3 retrieve-dataset.py b6a088c8-fb9d-488e-a240-fa8215fd431b --output dataset.bin

Schema

Name	Type	Description
id	string	Deterministic SHA-256 record ID (oxd_...)
category	string	Parent security domain (Access & Trust Boundary Control, State & Execution Integrity, Resource & Economic Safety)
severity	string	Normalized risk rating (Critical, High, Medium)
input_artifact	string	Unhardened Solidity smart contract or Python/TypeScript AI agent/MCP/RAG module
audit_reasoning	string	Architectural root-cause analysis and security invariant explanation
remediated_output	string	Hardened, patched Solidity, Python, or TypeScript implementation

Sample Data

Download a free sample to inspect the data before purchasing.

Public sample only. Sign in to retrieve the full dataset, including free datasets.

For AI Agents

Via MCP Server

# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Solidity & AI Agent Security R" })
// Found: b6a088c8-fb9d-488e-a240-fa8215fd431b
buy_now({ dataset_id: "b6a088c8-fb9d-488e-a240-fa8215fd431b" })  // uses your saved card

Via REST API

# Authenticate with your API key:
curl https://api.databazaar.io/datasets/b6a088c8-fb9d-488e-a240-fa8215fd431b \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/datasets/b6a088c8-fb9d-488e-a240-fa8215fd431b/buy \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "b6a088c8-fb9d-488e-a240-fa8215fd431b"}'