Skip to content
AI Tool

Upsolve Data Models Review

Upsolve Data Models is a platform for modeling data with versioning, ensuring accurate AI agent responses based on registered data models.

shipped Sep 30, 2026agentspaid
Domain rating35Monthly visits880/mo
agentsresearchproductivity
Upsolve Data Models — product screenshot

Why it matters

1Offers a free tier with 100 free data models.
2Provides versioned data models and real-time data refresh capabilities.
3Features a developer API with comprehensive documentation.
4Pricing starts at $99/month for the Standard tier, with usage pricing at $0.10/model.

About Upsolve Data Models

Business Model
Subscription SaaS
Usage Pricing
$0.10/model per model
Free Credits
100 free data models
Headquarters
San Francisco, USA
Founded
2021
Team Size
51-100
Funding
Seed
Total Raised
$1 million
Platforms
Web, API
Target Audience
Businesses looking for accurate data analytics solutions.

Pricing Plans

Standard
$99/mo
  • • Versioned context
  • • Nightly data refresh
  • • Selectable values
Enterprise
$499/mo
  • • Custom integrations
  • • Advanced analytics
  • • Dedicated support

Cost Examples

  • • Creating 10 data models: ~$1.00

Leadership

Kaling AqkCEOLinkedIn

Investors

Investor A, Investor B

Specs

API Available

Yes, public API

Screenshots

overview

What is Upsolve Data Models?

Upsolve Data Models is a data modeling tool developed by Upsolve that enables businesses to integrate their data definitions and metrics effectively. It provides a platform for modeling data with versioning, ensuring accurate agent responses based on registered data models, and refreshes them on a set schedule to maintain accuracy. The platform includes built-in analytics and agent customization features.

features

Key Features of Upsolve Data Models

Upsolve Data Models offers a suite of features designed to enhance data accuracy and agent performance, including robust versioning and integration capabilities.

  • Versioned data models for historical tracking and rollback.
  • Real-time data refresh to ensure up-to-date information.
  • Built-in analytics for performance monitoring and insights.
  • Agent customization options for tailored AI responses.
  • Integrations with existing workflows, including Slack and Google Sheets.
  • API available for programmatic access and custom integrations.
  • Scheduled data refreshes to maintain accuracy over time.

use cases

Who Should Use Upsolve Data Models?

Upsolve Data Models is designed for businesses and data professionals seeking to improve the accuracy and reliability of their AI agents through structured and versioned data management.

  • Businesses requiring accurate agent responses based on registered data models.
  • Organizations focused on effective integration of data definitions and metrics.
  • Teams needing to maintain data accuracy through scheduled data refreshes.
  • Data managers looking for robust data modeling with version control.
  • Analysts and developers building real-time query answering systems.

how to use

How to Use Upsolve Data Models

To begin using Upsolve Data Models, users can register their data definitions and metrics within the platform, configure refresh schedules, and integrate with existing workflows via the API or direct integrations.

  • 1Sign up for an Upsolve account, utilizing the free tier with 100 data models.
  • 2Define and register data models within the Upsolve platform.
  • 3Configure data refresh schedules to ensure real-time accuracy.
  • 4Integrate Upsolve Data Models with existing tools like Slack or Google Sheets.
  • 5Utilize the API for custom integrations and programmatic data model management.
  • 6Monitor data model performance and agent responses using built-in analytics.

pricing

Upsolve Data Models Pricing & Plans

Upsolve Data Models operates on a paid subscription model, offering a free tier with 100 data models, followed by Standard and Enterprise plans, alongside usage-based pricing for additional models.

  • Free Tier: Includes 100 free data models.
  • Standard: $99/month, offering core data modeling and refresh capabilities.
  • Enterprise: $499/month, designed for larger organizations with advanced needs.
  • Usage Pricing: $0.10 per additional data model beyond tier limits.

Enjoying this? Get one like it in your inbox each morning.

one email a day · unsubscribe in two clicks · no third-party tracking

Pros

  • +Ensures accurate AI agent responses through versioned and refreshed data models.
  • +Offers automated data refresh capabilities, maintaining data accuracy over time.
  • +Provides a developer API for flexible integration with existing systems.
  • +Includes built-in analytics for monitoring data model performance.
  • +Supports integrations with common business tools like Slack and Google Sheets.
  • +Offers a free tier, allowing users to test the platform with 100 data models.

Cons

  • −Requires a paid subscription for advanced features and higher usage beyond the free tier.
  • −Specific focus on AI agent accuracy may not be ideal for general-purpose data management without AI integration.
  • −Usage pricing for additional data models can increase costs for extensive deployments.
  • −Requires initial setup and configuration of data models and refresh schedules.

Policies

Pricing Page

View Pricing→

Similar Tools

Upsolve Data Models vs Competitors

Upsolve Data Models differentiates itself from general-purpose data management systems by focusing specifically on integrating and automatically refreshing external data definitions to enhance AI agent accuracy.

1

Provides a real-time API for any SQL database, allowing users to manage data models and content through a user-friendly interface.

Directus is a general-purpose headless CMS and data platform; while it offers robust data modeling and versioning, it lacks Upsolve's specific focus on integrating and automatically refreshing external data definitions for AI agent accuracy, requiring custom integration for that aspect.

2

An open-source headless CMS that allows developers to build custom content types (data models) and expose them via a customizable API.

Strapi provides excellent content modeling and versioning capabilities, but unlike Upsolve, it doesn't offer built-in features for automatically integrating and refreshing external data definitions to directly enhance AI agent response accuracy, necessitating custom development for such workflows.

3
TypeDB↗

A knowledge graph database that allows users to model complex data as an ontology and query it using a powerful type-theoretic language.

TypeDB excels at defining rich, interconnected data models (ontologies) for complex querying by AI agents. However, it requires more technical expertise for setup and management, and lacks Upsolve's abstracted platform for integrating and automatically refreshing external data sources.

4
Git (with JSON Schema/OpenAPI)↗

Uses standard version control (Git) to manage and version data model definitions (e.g., JSON Schema or OpenAPI Specification files), offering high flexibility and auditability.

This approach provides fundamental schema definition and versioning at no cost but is entirely manual. It lacks any of Upsolve's platform features, user interface, or automated integration and refresh capabilities, requiring significant custom development to achieve similar functionality.

More on Stork

Related AI Tools

Other tools in this category, matched by shared tags

One short daily email of tools worth shipping. No drip funnel.

one email a day · unsubscribe in two clicks · no third-party tracking

For builders

This page is doing a job for someone else’s tool.

AI agents read it. Buyers land on it. It answers in eight languages and over MCP. Your tool can have one like it — live in 24 hours.