Forsy

Forsy

WebsiteFreemiumAI Data Mining
Forsy is a data infrastructure and marketplace that natively captures AI agent workflows in real time, provides full-coverage, high-fidelity tracking across toolchains, and enables teams to discover, license, and trade authentic agent data.
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Forsy

Product Information

Updated:May 25, 2026

What is Forsy

Forsy is a platform built to turn AI agent work into a durable, reusable asset by capturing real agent workflows as they happen. Positioned as “data infrastructure to capture real agent workflows,” it focuses on recording tasks across domains with high fidelity so teams can analyze, improve, and operationalize agent performance. In addition to workflow capture, Forsy introduces an “agent data” economy where authentic workflow data can be discovered and licensed, aligning data collection, product iteration, and commercialization in one place.

Key Features of Forsy

Forsy is a data infrastructure platform that natively captures real AI-agent workflows in real time (rather than reconstructing them later) across an organization’s agent toolchain, then turns that high-fidelity workflow data into structured, licensable assets. It’s designed to provide full coverage from everyday tasks to specialized workflows, enabling teams to discover, license, and sell authentic agent workflow datasets via an “agent data economy” marketplace—useful for improving agent reliability and training more capable future agents (e.g., RL and related approaches).
Native real-time capture: Tracks agent workflows as they happen, producing authentic records that are not reconstructed after the fact.
High-fidelity workflow data: Purpose-built to capture detailed, structured workflow data suitable for building more capable and reliable agents.
Full coverage across workflow types: Captures everything from routine tasks to specialized workflows across domains, aiming for broad, representative datasets.
Works across agent stacks/toolchains: Designed as one engine for workflow data across the tools and agents teams already use (e.g., OpenClaw, Claude, Codex, Hermes, etc.).
Agent data marketplace (trade & licensing): Enables discovery, licensing, and selling of authentic agent workflow data with privacy and licensing considerations built in.

Use Cases of Forsy

Training data for better agents (RL and beyond): Use captured real workflows as high-quality training/evaluation data to improve agent performance, robustness, and reliability.
Enterprise agent observability & workflow analytics: Analyze what agents actually do across tools to identify bottlenecks, failure modes, and opportunities to standardize best practices.
Data monetization for agent-heavy teams: Teams running large volumes of agent work (e.g., research, coding, operations) can package and license anonymized workflow datasets.
Benchmarking and QA for agent toolchains: Compare agent behaviors across different models/tools and validate changes using consistent, real workflow traces.
Ecosystem dataset sourcing for AI builders: Developers of agent products can source domain-specific, authentic workflow datasets through the marketplace rather than generating synthetic logs.

Pros

Real-time, native capture supports more authentic and higher-fidelity workflow datasets than post-hoc reconstruction.
Marketplace and licensing model creates a clear path to discover, trade, and monetize workflow data.
Designed to work across an existing agent stack/toolchain, reducing the need to replace current tools.

Cons

Capturing detailed workflows can raise privacy, compliance, and data governance concerns depending on what is recorded.
Value depends on breadth/quality of integrations and adoption across teams’ agent tools.
Marketplace usefulness may be constrained by organizations’ willingness/ability to share or license workflow data.

How to Use Forsy

1) Open Forsy and create an account: Go to https://forsy.ai/ and click “Get Started”, or go directly to https://platform.forsy.ai/sign-up to create your account.
2) Sign in to the Forsy platform: After signing up, sign in at https://platform.forsy.ai/sign-in so you can access capture and any marketplace-related features.
3) Decide what you want to capture (tasks + toolchain): Forsy is designed to capture “real agent workflows” in real time. Before you start, identify the agent(s) you already use and the workflows you want recorded (e.g., everyday tasks or specialized workflows), including the tools involved in the workflow/toolchain.
4) Use Forsy alongside your existing agents (native capture): Run your normal work using the agents you already use (the site lists examples like OpenClaw, Claude, Codex, Hermes, etc.). Forsy’s value proposition is “Native Capture” that is tracked in real time as agents work (not reconstructed afterward).
5) Verify your workflow coverage: Ensure the workflows you care about are being captured end-to-end (Forsy emphasizes “Full Coverage” across domains). If you have multiple agents in your stack, aim to capture across them so you get a complete workflow dataset.
6) Organize captured workflows into structured data: Forsy’s core promise is turning captured workflow data into “sellable structured data.” After capture, organize/label workflows so they are understandable and reusable as high-fidelity agent training data.
7) Prepare data for licensing and privacy requirements: Before sharing or selling any workflow data, review Forsy’s Privacy Policy (https://forsy.ai/privacy) and ensure your captured workflows comply with your team’s privacy and licensing expectations.
8) Trade or license your agent workflow data: Use Forsy’s “Trade Agent Data” concept: a market where authentic workflow data is discovered, licensed, and sold. Publish your structured workflow data for discovery and licensing within the Forsy ecosystem.
9) Explore the Agent Economy and community resources: Use the site navigation to learn how the ecosystem works: “Economy/Agent Economy” (https://forsy.ai/economy), “Leaderboard” (https://forsy.ai/leaderboard), and “Community” (https://forsy.ai/community). Join community channels if you want feedback or best practices.
10) Request a demo for team/production use: If you need guided onboarding, enterprise workflows, or deeper integration across your agent stack, request a demo at https://forsy.ai/demo or contact [email protected].

Forsy FAQs

Forsy provides data infrastructure to capture real agent workflows in real time and turn them into structured workflow data that can be licensed and sold.

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