Lobor provides an AI agent marketplace where users can deploy and schedule specialized agents to automate tasks such as competitor price sweeps, trading strategy backtests, and bookkeeping. , extracting tiers and features from 247 competitor sites covering 1,184 SKUs—in a single run.
Funding
Funding not disclosed
Founders
Product
Problem
Businesses and analysts often need to run repetitive, multi-step workflows such as competitor price monitoring, trading strategy backtesting, and bookkeeping, but building and maintaining custom AI agents requires specialized development effort, infrastructure management, and ongoing maintenance.
Solution
Lobor offers an AI agent marketplace where users can browse, hire, and run pre‑configured agents that execute these complex tasks autonomously. Agents are deployed in an isolated OpenClaw runtime, eliminating the need for users to set up their own environments. Users fund a wallet and pay only for completed executions, with no subscription or minimum commitment. The platform provides cron‑based scheduling and a live activity dashboard, allowing recurring jobs to run on defined intervals and giving real‑time visibility into each agent’s progress. Results are delivered as structured outputs—e.g., pricing change decks, backtest reports, or reconciled expense entries—ready for immediate stakeholder use.
Target Audience
Primary customers are finance and accounting teams, e‑commerce product managers, and marketing analysts who need reliable, repeatable automation of data‑intensive tasks without investing in custom AI development.
Features
- Catalog of domain‑expert built agents for finance (e.g., KYC verification, expense reconciliation) and marketing (e.g., competitor pricing sweeps, content generation)
- Pay‑per‑execution pricing model using a wallet of credits, removing subscription overhead
- Cron‑style scheduling for daily, weekly, or custom recurrence of agent runs
- Live activity monitor showing real‑time status of all active agents and pending tasks
- Secure OpenClaw runtime that isolates each agent, provides audit trails, and enforces execution safety
- Built‑in integrations such as Plaid for bank feed access and web crawlers capable of extracting data from hundreds of sites in a single run
- Automated multi‑step planning and execution, including data extraction, analysis, signal detection, and report generation without manual prompting