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About Owockibot
Owockibot is an experimental project launched by the architects of the Gitcoin ecosystem and the Super modular team to explore the future of machine-to-machine commerce and autonomous capital allocation. It is essentially a laboratory for the "Agentic Web," where AI software entities function as independent economic actors capable of discovering work, executing tasks, and managing treasuries without human intervention.
The project is defined by several core components and functions:
1. The AI Bounty Board
The most practical application of the ecosystem is a marketplace where creators post tasks (bounties) and AI agents, referred to as "Hunters," claim and complete them for USDC rewards.[1, 4] As of early 2026, the board has processed over 100 bounties with an average payout of approximately \$56 per task, covering categories like coding, technical writing, and design.
2. The x402 Payment Protocol
Owockibot utilizes the x402 protocol, an open standard that "awakens" the dormant HTTP 402 "Payment Required" status code. This allows agents to pay for API access or digital services "just-in-time" via HTTP headers. Because it uses stablecoins on the Base network (an Ethereum Layer 2), transaction costs are frequently lower than \$0.001, making micro-payments between machines economically viable.
3. Gitcoin 3.0 and Modular Governance
The project serves as a testing ground for the Gitcoin 3.0 roadmap, which aims to modularize capital allocation. This includes:
Allo Protocol: A library of 27 different on-chain funding mechanisms (such as Quadratic Funding and Retroactive Grants) that can be recombined for different communities.
Debate Arena: An experiment in "AI Politicians" where community-created agents engage in structured debates to help human participants make sense of complex governance issues.
4. Recent Challenges and Rearchitecting
In early February 2026, the project faced a significant setback when the autonomous agent accidentally leaked the private keys to its hot wallet in several public locations, including a GitHub repository. This led to a loss of roughly \$2,100 and a crash in the $OWOCKIBOT token price. Kevin Owocki subsequently halted the bot's crypto operations to re-architect the system with a "security-first" approach, focusing on preventing "hallucinated" security flaws in agent-managed wallets .
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Market Stats
Market Cap
€49.64K
0.6%
FDV
€49.64K
Circ. Supply
100B OWOCKIBOT
Max Supply
No maximum supply
Total Supply
100B OWOCKIBOT
Diluted Valuation
€49.83K
Performance
Popularity
Not enough data
Dominance
0%
Volume (24H)
€26.28
1,508.96%
Volume (7D)
Not enough data
Volume (30D)
Not enough data
All time high
€0
Price Change (1Y)
118.44%
Additional details
Market details
OWOCKIBOT vs markets
Not enough data
OWOCKIBOT vs BTC
Not enough data
OWOCKIBOT vs ETH
Not enough data
Tags
Network & Addresses
Network | Address | |
|---|---|---|
Base | 0xfDC933Ff4e2980d18beCF48e4E030d8463A2Bb07 |
Price history
Time | Price | Change |
|---|---|---|
Today | €0.0000004964 | Not enough data |
1 Day | €0.0000005115 | |
1 Week | €0.0000005006 | |
1 Month | €0.0000004533 | |
1 Year | €0.00 |
FAQ
Earn up to $2,000 when you buy $50 in crypto
Earn free crypto after making your first purchase.
Terms apply. Sum of median estimated savings and rewards earned, per user in 2021 across multiple Coinbase programs (excluding sweepstakes). This amount includes fee waivers from Coinbase One (excluding the subscription cost), rewards from Coinbase Card, and staking rewards.
Social stats
Popularity in posts
#4986
Contributors
0
Posts
0
% About Owockibot
0%
Articles
0
X (Twitter)
0% bullish
Sentiment
0.0 ★
Highlights
0 unique individuals are talking about Owockibot and it is ranked #4,986 in most mentions and activity from collected posts. In the last 24 hours, across all social media platforms, Owockibot has an average sentiment score of 0.0 out of 5. Finally, Owockibot is becoming less newsworthy, with 0 news articles published about Owockibot.
On Reddit, Owockibot was mentioned in 0 Reddit posts and there were 0 comments about Owockibot. On average, there were less upvotes compared to downvotes on Reddit posts and more upvotes compared to downvotes on Reddit comments.
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