Home / Directory / Agents & orchestration / AI agent tool integrations / Paragon
Paragon
Los Angeles company from Y Combinator's Winter 2020 batch that gives software and AI companies managed sign-in, data sync, and agent actions for third-party apps.
Software and AI product teams that need to ship many customer-facing integrations, including permission-aware data sync for RAG and actions for agents.
Teams building one internal integration, or buyers who want a published per-user price before talking to sales.
Verdict
Paragon is a Los Angeles company that lets software and AI products connect to apps like Salesforce, Slack, and Google Drive without building each integration. It suits product teams that need data sync for retrieval, actions for agents, and workflows in one place. Its customers include AI companies like You.com and Copy.ai, which shows its fit for agent products.
Score Breakdown
How Paragon scores in the categories that matter to its buyers.
Pricing
Paragon has a free starting plan and custom Enterprise terms, and does not publish usage prices.
Usage costs scale with Connected Users, the customer organizations using a company's integrations. Every plan includes Managed Sync, ActionKit, and Workflows; Enterprise adds self-hosting, SAML SSO, and SLAs.
The Field at a Glance
How Paragon compares with other AI agent tool integrations vendors we reviewed, by Overall Score and relative typical engagement cost.
Paragon scores 7.7 in AI agent tool integrations, under Composio (8.1), Nango (8.0), and Arcade.dev (7.9). Relative cost lands upper-mid for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Managed authentication | Strong | Handles sign-in for each third-party app. |
| Data sync | Strong | Managed ingestion with a Permissions API for RAG. |
| Agent actions | Strong | ActionKit offers one API and MCP server. |
| Workflows | Strong | TypeScript or low-code integration logic. |
| Self-hosting | Mixed | Available on Enterprise only. |
| Published pricing | Weak | Usage prices are quoted. |
Who it’s for
Good fit
- AI products needing customer data
- SaaS teams with many integrations
- Agent builders needing app actions
Poor fit
- One-off internal automations
- Buyers wanting list prices
- Teams building a single integration
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“With Paragon, one engineer knocked out multiple integrations within a few weeks.”
“We have a use case with Jira that we were able to enable in our product within less than an hour, I would even say minutes.”
Paragon does not publish usage prices; costs scale with the number of Connected Users, and self-hosting, SAML SSO, and SLAs require Enterprise.
Company Facts
- Founded
- 2019 (Y Combinator)
- Headquarters
- Los Angeles (Y Combinator)
- Team size
- 48 (Y Combinator)
- Latest funding
- $13M Series A led by Inspired Capital, July 2022 (TechCrunch)
- Accelerator
- Y Combinator, Winter 2020 batch (Y Combinator)
- Website
- useparagon.com
Key Leadership
Brandon Foo
Co-founder and CEO
Methodology
This page is an independent evaluation of Paragon for buyers comparing options in AI agent tool integrations. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Paragon did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for AI agent tool integrations)
- Integration breadth
- Data sync for retrieval
- Agent actions
- Price visibility
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Paragon is graded here as AI agent tool integrations. Criteria scores can move as more review volume and product checks are added.