A Clay alternative for teams that need lead data before enrichment workflows
Dievio is built for teams that want to find, preview, export, and automate B2B lead data without maintaining a complex enrichment table or GTM workflow system.
Where Dievio fits
Clay is a flexible GTM workflow and enrichment platform for teams that want tables, data providers, AI research, routing, and outbound automation logic in one workspace. Dievio is narrower: it helps teams find B2B contacts, preview segment size, export lists, and move repeatable lead data workflows into an API.
- Teams that need lead search and exports before building a broader enrichment operation.
- Founders and agencies that do not want to maintain multi-step enrichment tables.
- Developers who need structured B2B lead data through API access.
- Outbound operators who want predictable list building and preview counts.
- Search inputs
- Title, seniority, department, country, industry, company size
- Data readiness
- Email status, phone status, LinkedIn URL coverage
- Automation inputs
- Domain lists, ICP filters, result limits, export fields
Dievio vs Clay: workflow comparison
| Consideration | Dievio | Clay |
|---|---|---|
| Primary fit | Lead search, preview counts, exports, LinkedIn lookup, and API access. | GTM enrichment tables, workflow automation, AI research, and multi-source orchestration. |
| Team overhead | Designed for direct search and export workflows. | Best when someone owns the enrichment logic, tables, credits, and downstream workflow rules. |
| API path | B2B leads API with separate API credit top-ups. | Webhook, automation, and enterprise API-style workflows depending on setup and plan. |
From filters to a useful list
Start with the lead segment
Use title, seniority, department, company size, industry, geography, email status, phone status, and LinkedIn URL filters.
Validate coverage before enrichment
Preview counts first so the team knows whether the market exists before adding more workflow complexity.
Export or automate the proven segment
Download CSV/JSON records or move stable lead searches into API usage with separate API credits.
Clay comparison checklist
Use this checklist to decide whether the team needs workflow orchestration or simpler lead data access.
- Define whether the first bottleneck is finding leads or enriching already-known leads.
- Test the ICP in Dievio before adding AI research or waterfall enrichment steps.
- Move only proven repeatable segments into API usage.
Example Dievio export record
A focused lead-data output should be simple enough for outreach, QA, CRM import, or API handoff.
- Contact
- Maya Chen, VP Sales
- Company
- Northstar Analytics, SaaS, 120 employees
- Fields
- Email available, LinkedIn URL, company domain, United States
- Segment
- SaaS revenue leaders - previewed before export
When to use Dievio instead of a Clay-style workflow
| Signal | Use when | Avoid when |
|---|---|---|
| List source | You still need to discover the right contacts and validate market size. | You already have accounts and need a complex enrichment waterfall. |
| Operator load | A founder, SDR, or agency operator needs a repeatable search and export path. | A GTM ops owner is ready to maintain tables, formulas, providers, and routing logic. |
| Automation depth | The workflow is stable enough for API credits after manual validation. | The workflow requires AI research steps, multi-provider branching, and CRM orchestration. |
Simple lead-data handoff
A Dievio-first workflow should produce clean lead data before any optional enrichment or routing layer.
- Input
- Role, seniority, industry, size, region, data availability, result cap
- Output
- Contact record, company context, email status, LinkedIn URL, export segment
- Next step
- Manual outreach list, API job, or enrichment workflow depending on operational need
Clay alternative workflow test
Use this test when the team is tempted to build an enrichment table before proving the market exists.
| Step | Detail | Outcome |
|---|---|---|
| Before enrichment | Run the core ICP in Dievio with title, company size, industry, geography, email status, and LinkedIn URL filters. | Confirms whether there are enough usable contacts before workflow orchestration gets built. |
| After validation | Export a sample and inspect field completeness, duplicates, company fit, and persona accuracy. | Creates a concrete handoff decision: CSV export, API workflow, or a richer Clay-style enrichment table. |
| Automation boundary | Move only stable segments into API usage; keep experimental segmentation in manual preview workflows. | Prevents automated credits from being spent on segments that have not been proven manually. |
Use Clay when workflow orchestration is the product
If the team needs multi-provider waterfalls, AI research, CRM routing, enrichment tables, and workflow logic managed in one workspace, Clay is built for that broader GTM engineering job.
Use Dievio when the bottleneck is lead data access
If the main job is to search for contacts, validate segment size, export records, and automate repeatable lead pulls, Dievio keeps the workflow narrower and easier to operate.
How credits work
Count previews show totals only and use no credits. A lead search uses 1 credit per returned record. CSV and JSON exports of saved lists use no additional search credits.
Questions about this workflow
Is Dievio a full Clay replacement?
No. Dievio is not a GTM workflow table or enrichment orchestration platform. It can replace Clay only for teams whose main need is B2B lead search, preview counts, exports, LinkedIn lookup, or API lead data.
Can I use Dievio before a Clay-style enrichment workflow?
Yes. Teams can use Dievio to validate target segments and export contacts before deciding whether they need a larger enrichment workflow.
Does Dievio support API lead search?
Yes. Dievio API access is available with separate API credit top-ups for repeatable B2B lead workflows.
Content reviewed: May 2026
Clay references are based on public Clay product and documentation pages. Dievio is compared only on lead search, preview, export, LinkedIn lookup, and API workflow fit.
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