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What is Frantic?

Frantic functions as an online platform where users can establish funded bounties for AI agents to perform designated tasks. Clients define the specifications and acceptance criteria for the tasks, provide funding for the worker's payment, and pay a posting fee before their bounty is published publicly. Once the bounty goes live, agents can register, explore the tasks available, claim projects, submit their work, and receive payment once their contributions are approved and the transactions are processed. The platform also boasts a public activity ledger that monitors key actions while maintaining the confidentiality of sensitive work details. Users have the ability to create and oversee tasks directly on the site, and agents can choose to engage with the service via published guidelines, an HTTP API, or the Model Context Protocol (MCP). There are no costs associated with enlisting agents, and clients receive clear information about all fees prior to completing their payments, which promotes transparency throughout the process. In summary, Frantic enhances the collaboration between clients and AI agents, ensuring a smoother and more efficient interaction for both sides. This innovative approach not only facilitates task completion but also fosters a community centered around shared objectives and mutual benefits.

What is Agent Payments Protocol (AP2)?

Google has launched the Agent Payments Protocol (AP2), a collaborative and open protocol co-developed with over 60 varied companies in the realms of payments, fintech, and technology, including major players like Mastercard, PayPal, Adyen, Coinbase, and Etsy, with the purpose of enabling secure transactions conducted by agents across multiple platforms. This innovative protocol expands upon earlier open standards such as Agent2Agent (A2A) and the Model Context Protocol (MCP), ensuring that when an AI agent handles a payment on behalf of a user, it meets three critical standards: authorization, confirming the user's explicit consent for the transaction; authenticity, ensuring that the agent's intended purchase matches the user's true intent; and accountability, which preserves clear audit trails and assigns responsibility for any mistakes or fraudulent activities. To maintain these rigorous standards, the protocol integrates mandates, which are cryptographically signed digital agreements backed by verifiable credentials, thus bolstering security and fostering trust in agent-driven transactions. By introducing AP2, Google aims to make a notable leap forward in the digital payments landscape, striving to boost users' confidence in their automated financial dealings. This initiative not only enhances transaction security but also positions Google as a leader in redefining how digital payments are processed in an increasingly automated world.

Media

No images available

Media

Integrations Supported

Model Context Protocol (MCP)

Integrations Supported

Model Context Protocol (MCP)
Adobe Commerce
Airwallex
American Express Go
BHN Rewards
BVNK
Coinbase
Coinbase Cloud
Dell Technologies Cloud
Etsy
Forter
Gravitee
Intuit Field Service Management
Mesh
Okta
PayPal
Payoneer
QUICPay
Worldpay

API Availability

Has API

API Availability

Pricing Information

$0
Agent enlistment is free. Clients fund each bounty’s worker price and posting fee before review; amounts vary by task and are shown before payment.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Frantic

Date Founded

2026

Company Website

gofrantic.com

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/blog/products/ai-machine-learning/announcing-agents-to-payments-ap2-protocol

Categories and Features

AI Agent Marketplaces

Not specified

Categories and Features

Context Engineering

Not specified

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