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Description
FineData.ai serves as a web-scraping API and MCP server designed specifically for developers and AI-agent workflows that require data extraction from either public or authorized web resources. Users can send a URL via REST or an MCP client to obtain page content in various formats, including Markdown, text, links, screenshots, or raw HTML, and they can also request structured JSON by utilizing selectors, a JSON schema, or an extraction prompt. The service includes optional features like browser rendering, proxy routing, targeting specific countries, handling CAPTCHA challenges, and managing asynchronous jobs, making it adaptable for varying page types and collection needs. Among its documented applications are monitoring prices and catalogs, tracking property listings, conducting market research, generating leads, and overseeing search results for users' domains. The pricing model is based on token usage, and users are not charged for unsuccessful scrapes. The API is compatible with programming languages such as Python and JavaScript, in addition to standard HTTP clients, while the MCP server is capable of connecting with various clients, including Cursor and Claude Desktop. This versatility ensures that FineData.ai can cater to a wide range of data scraping requirements, enhancing productivity for developers and data analysts alike.
Description
The Parallel Decisions API is a web-based classification tool designed for developers who create software, enhance data processes, and build workflows for AI agents. When a request is made, it includes specific context along with one or more defined questions, and in return, the API provides structured answers complete with probabilities and references to relevant online sources. This functionality allows multiple questions to be grouped under a single context within one request, enabling various applications such as vendor or company evaluations, lead management, compliance checks, content moderation, and establishing guidelines for agents. By accessing real-time web data, it can evaluate facts that might have evolved since the last training of a model. Developers can interact with the API via a RESTful endpoint using an API key or utilize the web_decisions tool through Parallel's MCP server. To facilitate testing and integration, a hosted playground and comprehensive documentation are available for user convenience. Furthermore, this API empowers developers to make informed decisions by providing up-to-date information that enhances the reliability of their applications.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
Yes
Claude Code
No
Claude Desktop
Yes
Cursor
Yes
Parallel
No
Integrations
Model Context Protocol (MCP)
Yes
Claude Code
Yes
Claude Desktop
No
Cursor
No
Parallel
Yes
Pricing Details
$47/month
Paid monthly plans start at $47/month for 100,000 tokens. Pay-as-you-go usage is $0.55 per 1,000 tokens, with no monthly commitment. The Free plan includes 1,000 tokens per month, and new accounts receive 10,000 signup tokens. Token consumption varies with request features; failed scrapes are not billed.
Free Trial
No
Free Version
Yes
Pricing Details
$0.001/request
$0.001 per API request; a request can include up to 100 questions.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Finedata
Founded
2026
Country
United States
Website
finedata.ai/
Vendor Details
Company Name
Parallel
Founded
2023
Country
United States
Website
platform.parallel.ai/play/decisions