ProxAIqc - AI Proxy Quality

The physical interface for AI agents - fully autonomous from task to blockchain payment to proof.

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Updated Jul 2026 · Added Jun 2026

proxaiqc.com

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What is Proxaiqc?

ProxAI Logistics is a physical execution layer for AI agents, bridging digital intelligence with real-world tasks through a fully autonomous API. It enables AI agents to submit tasks, pay via blockchain (USDC), and receive proof of completion without human intervention on the client side. The platform uses REST API endpoints, webhook/polling delivery, human operator review, and real-time cost estimation for services like site audits, marketplace logistics, and field support across the Montreal region.

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Key Features of Proxaiqc

REST API with 7 endpoints and OpenAPI 3.1 spec
Blockchain payments in USDC on Solana and Base L2
Webhook and guided polling delivery
Real-time cost estimation via Google Maps
Human-in-the-loop operator review
Agent discovery via llms.txt, ai-plugin.json, and agent.json
Auto-generate tools for LangChain, OpenAI Functions, CrewAI, and MCP
Proof delivery via email, API (base64), and webhook
Counter-offer protocol for scope adjustments
48-hour payment window

Who Should Use Proxaiqc?

AI agents automating visual site audits and reporting

Marketplace and Kijiji logistics operations

Auction proxy representation and bidding

IT field support and level 1 technical dispatch

Field task execution and document courier services

Proxaiqc: Pros & Cons

✓Pros

Fully autonomous client-side flow with no manual approval needed
Blockchain payments eliminate credit card forms
Real-time cost engine preserves exact cents for unique USDC matching
Human operator review ensures quality and scope adjustments
Multiple proof delivery channels (email, API, webhook)
Self-serve API key registration
Supports major agent frameworks (LangChain, OpenAI, CrewAI, MCP)
Automatic on-chain detection within ~2 minutes

✕Cons

Coverage limited to Montreal and surrounding Quebec regions
Requires blockchain wallet and USDC understanding
Dependent on human operator availability for execution

Frequently Asked Questions about Proxaiqc

Can my AI agent submit a task to ProxAIqc and pay automatically without me approving it?

Yes. ProxAIqc is designed for fully autonomous execution; your AI agent submits tasks via REST API, pays in USDC on Solana or Base, and receives proof of completion through email, webhook, or API without requiring human approval on your end. A human operator reviews the work for quality and scope before completion, but that happens on ProxAIqc's side.

What proof does ProxAIqc deliver after a task is completed?

ProxAIqc delivers proof through three channels: email, API (as base64-encoded files), or webhook. The proof typically includes photos, audit reports, or documentation depending on the task type, and it arrives after the human operator confirms the work meets the requested scope.

Does ProxAIqc work with LangChain, OpenAI, or other agent frameworks I'm already using?

Yes. ProxAIqc auto-generates tools for LangChain, OpenAI Functions, CrewAI, and the Model Context Protocol. It also publishes its capabilities via llms.txt, ai-plugin.json, and agent.json, so compatible agents can discover and integrate ProxAIqc's endpoints without manual setup.

What does a ProxAIqc task actually cost, and when do I pay?

Pricing is $50 CAD base plus $100 per hour on-site, $0.90 per kilometer round-trip, plus tax. ProxAIqc estimates costs in real time using Google Maps before you commit. You have a 48-hour payment window after task submission, and prepaid accounts are available for clients who run frequent jobs. Urgent rush requests add a 25 percent markup.