Clay vs Eryx
Clay
clay.com
Eryx
eryx.digitalSide by side
| Figure | Clay | Eryx |
|---|---|---|
| Price from | $167/mo | — |
| Free plan | Yes | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| Plans published | 4 | 0 |
| Spec score · AI Lead Generation Software | 8.4 (#11) | 7.8 (#20) |
| Integrations | The integrations directory lists Salesforce, HubSpot, Snowflake, Google BigQuery, and other providers. | The site names HubSpot, Salesforce, and Clay as CRM or sequencer handoff destinations. |
| Purpose | Clay is a spreadsheet-style platform for connecting information and automating work, used by salespeople, growth teams, and small agencies to find and reach customers. | Eryx helps sales, growth, agency, and founder teams discover prospects from open sources, enrich and score them, and organize them into projects. |
| Support | Growth includes priority support, and Enterprise includes a dedicated growth strategist. | The site lists [email protected] as its contact email. |
Plans
In their own words
Clay
Clay is a spreadsheet-style platform for connecting information and automating work, aimed at salespeople, growth teams, and small agencies finding and reaching customers. It enriches data through more than 150 providers and can combine sources in multi-provider waterfalls. Claygent, its AI agent, can research the web and generate custom data points. Depending on the plan, users can track signals such as job changes, promotions, new hires, company news, social activity, and web intent. Integrations include Salesforce, HubSpot, Snowflake, and Google BigQuery. Clay can centralize audience data and sync ad audiences to LinkedIn, Meta, and Google. Its Salesforce integration can manage data, create or update records, and access reports and views. The Free plan allows up to 200 rows per table and excludes phone number enrichment. Actions measure platform usage; Data Credits cover data and AI from marketplace vendors. Clay says customer data is not used to train its AI models or those of its AI providers.