Agents-internal

About this Agent

The Lead Data Enrichment Agent is an AI-powered solution designed to enhance your prospecting efforts by automatically enriching lead data. It pulls additional information from a variety of online sources, ensuring your sales team has the most comprehensive and up-to-date lead profiles. This agent streamlines the lead generation process, saving time and increasing the accuracy of your customer insights.

Accuracy
TBD

Speed
TBD

Input Data Set

Sample of data set required for Lead Data Enrichment Agent:

Input

Lead Name,Email,Company

Emily Johnson,emily.johnson@innovatech.com,Innovatech

Deliverable Example

Sample output delivered by the Lead Data Enrichment Agent:

Lead Name	Email	Company	Job Title	Company Size	Industry	Location	LinkedIn	Phone Number
Emily Johnson	emily.johnson@innovatech.com	Innovatech	Senior Software Engineer	200-500	Technology	San Francisco	https://linkedin.com/in/emilyjohnson	(415) 987-6543

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.

Lead Data Enrichment Agent

About this Agent

Input Data Set

Deliverable Example

Company

Product

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In this personalized demo, you will:

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