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Description

Google has introduced the Agent Payments Protocol (AP2), a collaborative open protocol developed with over 60 diverse companies in payments, fintech, and technology, including Mastercard, PayPal, Adyen, Coinbase, and Etsy, aimed at facilitating secure transactions led by agents across various platforms. This new protocol builds upon previous open standards such as Agent2Agent (A2A) and the Model Context Protocol (MCP) to ensure that when an AI agent processes a payment on behalf of a user, it adheres to three essential criteria: authorization, to confirm that the user has explicitly consented to the specific transaction; authenticity, to verify that the purchase intended by the agent aligns with the user's actual intent; and accountability, to maintain transparent audit trails and assign responsibility in the event of any errors or fraudulent activities. In order to uphold these standards, the protocol incorporates mandates, which are cryptographically signed digital contracts that are supported by verifiable credentials, ensuring a high level of security and trust in agent-led transactions. The implementation of AP2 represents a significant advancement in the realm of digital payments, aiming to enhance user confidence in automated financial interactions.

Description

Qdrant serves as a sophisticated vector similarity engine and database, functioning as an API service that enables the search for the closest high-dimensional vectors. By utilizing Qdrant, users can transform embeddings or neural network encoders into comprehensive applications designed for matching, searching, recommending, and far more. It also offers an OpenAPI v3 specification, which facilitates the generation of client libraries in virtually any programming language, along with pre-built clients for Python and other languages that come with enhanced features. One of its standout features is a distinct custom adaptation of the HNSW algorithm used for Approximate Nearest Neighbor Search, which allows for lightning-fast searches while enabling the application of search filters without diminishing the quality of the results. Furthermore, Qdrant supports additional payload data tied to vectors, enabling not only the storage of this payload but also the ability to filter search outcomes based on the values contained within that payload. This capability enhances the overall versatility of search operations, making it an invaluable tool for developers and data scientists alike.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Accenture Billing & Payments Engine
Activepieces
Adyen
Apify
BHN Rewards
CogniSync
Confluent
Database Mart
Dropstone
Elestio
Forter
IBM watsonx.data
Knolli
Kong AI Gateway
Leo
Model Context Protocol (MCP)
OmniMind
Prem AI
Salesforce
Worldpay

Integrations

Accenture Billing & Payments Engine
Activepieces
Adyen
Apify
BHN Rewards
CogniSync
Confluent
Database Mart
Dropstone
Elestio
Forter
IBM watsonx.data
Knolli
Kong AI Gateway
Leo
Model Context Protocol (MCP)
OmniMind
Prem AI
Salesforce
Worldpay

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

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

Vendor Details

Company Name

Qdrant

Founded

2021

Country

Germany

Website

qdrant.tech/

Product Features

Alternatives

Alternatives