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Description
The EarningsCall API is a comprehensive hosted REST API designed for developers and financial analysts seeking programmatic access to earnings-call data from over 9,000 publicly traded companies. It delivers data in JSON format and includes endpoints for various features such as earnings calendars, company events, symbol lookups, basic transcript text, enhanced transcripts that feature speaker groupings and word-level timestamps, original audio from calls, and accompanying slide presentations; the availability of these features is contingent upon the chosen subscription plan. Users have the capability to access both historical calls and receive real-time updates for events, with the frequency of requests and data accessibility governed by the limitations of their plan. To facilitate development, official SDKs for Python and JavaScript are provided, streamlining integration into existing workflows. Furthermore, webhooks are available on select plans to alert customer endpoints whenever new earnings-call events are released. This extensive data resource is invaluable for investment research, financial analysis, trading strategies, and various data-processing applications. A restricted demo key is offered for prospective users to evaluate the service, while paid plans commence with access to the earnings calendar and basic transcripts. Overall, the API serves as a crucial tool for enhancing financial decision-making and research capabilities.
Description
Glasser serves as a marketplace for data APIs tailored for AI developers and agents. It unifies various specialized data providers under a single account and balance, catering to needs such as company and individual research, SEO, finance, real estate, employment, social media, and product information. Users have the ability to explore available endpoints, examine input requirements and associated costs before making a request, and can access data through Glasser's hosted services, a Model Context Protocol (MCP) connection, a command-line interface, or via their agent setup skills. Rather than charging a monthly subscription fee, Glasser operates on a pay-per-call basis, with pricing varying by provider and endpoint. The platform facilitates agent workflows that require organized external data for tasks like research, lead generation, data enrichment, analytics, or searching. Users select which endpoint to utilize and can view both results and costs within their workspace. Additionally, searching for endpoints and checking prices comes at no cost, and new users are granted a $1 credit for their initial paid calls, making it an attractive option for those looking to leverage diverse data streams. Ultimately, Glasser streamlines the integration of essential data for various applications, enhancing the efficiency of AI-driven projects.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
No
Pricing Details
$60/month
The Starter plan costs $60 per month and includes 10 API calls per minute, earnings-calendar data, and basic transcript data. Higher tiers add features such as enhanced transcripts, audio, and real-time notifications. Monthly subscriptions can be canceled at any time; annual billing is also available.
Free Trial
Yes
Free Version
No
Pricing Details
Pay as you go, charged per data call; endpoint rates vary by provider and operation. No monthly Glasser subscription. Endpoint search and price checks are free; new accounts receive a $1 credit for paid calls.
Free Trial
Yes
Free Version
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
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
EarningsCall
Founded
2019
Country
United States
Website
earningscall.biz
Vendor Details
Company Name
Super Intent
Country
United States
Website
glasser.ai/
