Agents-internal

About this Agent

The Copyright Infringement Detection Agent is an advanced AI digital worker designed to safeguard intellectual property rights by automatically scanning online platforms for potential copyright infringements. Utilizing cutting-edge AI-driven image and text recognition technologies, this agent efficiently detects unauthorized use of copyrighted materials, helping rights holders to protect their assets and take timely action against infringements.

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for Copyright Infringement Detection Agent:

platform_url	content_type	content_id	copyright_owner	reference_content_url
https://nextgennarratives.com/	image	IMG001	NextGenNarratives Photography	https://nextgennarratives.com/portfolio/img1
https://techworld.com/latest-gadgets	text	TXT002	Tech Insights	https://techinsights.com/articles/gadgets
https://fashionhub.com/style-trends	image	IMG003	Style&Chic Magazine	https://stylechicmagazine.com/cover2024
https://novelistcorner.com/chapter1	text	TXT004	Jane Austen Society	https://austensociety.com/books/pride
https://foodblogger.com/recipe-of-the-day	both	MIX005	Gourmet World	https://gourmetworld.com/recipes/today

Deliverable Example

Sample output delivered by the Copyright Infringement Detection Agent:

platform_url	content_id	copyright_owner	potential_infringement	match_percentage	infringement_type	detection_date	notes
https://nextgennarratives.com/	IMG001	NextGenNarratives Photography	Yes	98	Image	2024-10-11	Identical image found on another site
https://techworld.com/latest-gadgets	TXT002	Tech Insights	No	25	Text	2024-10-11	Low similarity, no action needed
https://fashionhub.com/style-trends	IMG003	Style&Chic Magazine	Yes	87	Image	2024-10-11	Partial match with magazine cover
https://novelistcorner.com/chapter1	TXT004	Jane Austen Society	Yes	92	Text	2024-10-11	Large portions matched with original
https://foodblogger.com/recipe-of-the-day	MIX005	Gourmet World	No	45	Both	2024-10-11	Moderate similarity, not flagged

ZBrain credits and their usage

A credit is a unit of usage on ZBrain. Credits are consumed whenever you perform actions such as embedding documents or querying an app. Here’s how credits are utilized:

Document Embedding:

When you upload a document, it is processed and embedded to create a searchable vector representation. This step consumes credits based on the size of the document and the embedding model used.

Input Processing:

When you ask a question, the relevant context is retrieved from the embeddings and processed by the Large Language Model (LLM). This step incurs a credit cost based on the model and the number of input tokens.

Generating Output

The LLM then generates a response based on the processed input, consuming additional credits based on the number of output tokens.

The cost in credits for various models and processes is detailed below:

Models and Credit Consumption:

Model	Input Cost	Output Cost
GPT-4o	2,500 credits / 1M tokens	7,500 credits / 1M tokens
GPT-4	15,000 credits / 1M tokens	30,000 credits / 1M tokens
GPT-4-32k	30,000 credits / 1M tokens	60,000 credits / 1M tokens
GPT-3.5 Turbo	250 credits / 1M tokens	750 credits / 1M tokens

Embedding Models:

Model	Input Cost
text-embedding-3-small	20 credits / 1M tokens
text-embedding-3-large	130 credits / 1M tokens
ada v2	100 credits / 1M tokens

When you create a knowledge base or query an app, credits are deducted based on the embedding, input, and output token usage. This ensures you only pay for what you use while leveraging the full power of advanced AI models.

Copyright Infringement Detection Agent

About this Agent

Input Data Set

Deliverable Example

Company

Product

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