Thinknum | AI Agent | Alternates | Alternates - AI Agent Discovery Platform

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Thinknum

Name: Thinknum
Price: Contact for Pricing USD
Author: Thinknum Alternative Data, Inc.

Backed By Thinknum Alternative Data, Inc.

Alternative data platform for market trends and business intelligence.

Data & Analytics

Overview

Thinknum is a market intelligence platform that aggregates alternative data from online sources—including job postings, social media, product listings, and company websites—to deliver unique insights into market trends and business performance. It enables competitive benchmarking, trend detection, and investment research, and integrates with BI tools for advanced analytics.

Use Cases

Track hiring, product, and pricing trends

Competitive benchmarking

Alternative data for financial modeling

Company performance tracking

Integrate with BI tools

Custom analytics dashboards

Top Integrations

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API

Product Info

Deployment Method

API-basedSaaS

Model Type

Closed Source

Support

Pricing

Enterprise/Standard Subscription

Contact for pricing

Access to full platform (UI & API)

Job Listings Data (via AWS Marketplace/BattleFin)

$16,800

Job Listings dataset (daily updates)

Alternates Research On The Product

Top Features

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Over 35 structured alternative datasets (Job Listings, LinkedIn Profile, Store Locations, Product Pricing, Social Media, Employee Sentiment, etc.)

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Historical data coverage (up to 10+ years for some datasets)

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User-friendly web-based UI for no-code querying, visualization, and analysis

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Custom alerts for key metrics crossing critical thresholds

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Pre-configured maps, charts, word clouds, and advanced visualizations

Strengths

Unique, differentiated insights from alternative data
Crucial thought partner to business
Effective tool for equity research analysis
Data helps inform investment strategies

Weaknesses

Data accuracy can be affected by the quality and verification challenges inherent in public web-scraped data.
The perceived complexity or learning curve of leveraging the data if the user does not have a background in data analysis.
Lack of publicly advertised support response time or SLA.
High annual subscription cost with long-term lock-in.
No independent third-party reviews (G2, Capterra, etc.) available to assess general user satisfaction and ease of use.

Reviews From The Web

Real user experiences from across different platforms

The tools we use and the data we pull from Thinknum help inform our equity research analysis so we can make unique, differentiated insights. The platform has been an important resource for data analysis on vehicle inventories, pricing at retailers, job openings, and various user metrics, among many other items.

Bill Pecoriello

Recent

Consumer Edge Research (Official Testimonial)

Recommendations

Institutional investors who require comprehensive, real-time, web-scraped data to supplement traditional financial models and generate market-beating alpha

real-time, web-scraped data to supplement traditional financial models and generate market-beating alpha.

Corporate strategy teams needing in-depth, early intelligence on competitors' operational health and strategic moves (e

ntelligence on competitors' operational health and strategic moves (e.g., hiring, pricing changes).

Individual investors or small businesses looking for low-cost, ad-hoc data feeds

or low-cost, ad-hoc data feeds.

Users who require audited, regulatory data or are heavily reliant on highly sensitive, non-public data (as their focus is on public web data)

heavily reliant on highly sensitive, non-public data (as their focus is on public web data).

Final Verdict

Enables investors and corporate strategists to track real-time operational and strategic movements of over 500,000+ public and private companies globally using unique, forward-looking alternative data (like job listings, product pricing, and sentiment) that is typically unavailable from traditional financial sources.

Best For

•Institutional investors who require comprehensive, real-time, web-scraped data to supplement traditional financial models and generate market-beating alpha.
•Corporate strategy teams needing in-depth, early intelligence on competitors' operational health and strategic moves (e.g., hiring, pricing changes).

Watch Out For

•Lack of public transparent pricing and self-service model for non-enterprise users.
•Data accuracy can be affected by the quality and verification challenges inherent in public web-scraped data.
•The perceived complexity or learning curve of leveraging the data if the user does not have a background in data analysis.
•Lack of publicly advertised support response time or SLA.

Accuracy may vary with unverified web-scraped data sources The platform can have a learning curve unless users have a background in this type of data analysis Pricing is high-end and not publicly advertised

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