TexAu
Find, enrich, score, and push leads.
What is TexAu
TexAu finds leads from multiple sources inside a tabular workflow, runs waterfall enrichment across 12 data sources, verifies emails for deliverability, scores prospects with AI, and pushes the results directly to a CRM — all from a table interface or via API. It's built for SDRs, BDRs, GTM engineers, and RevOps teams at SMBs and mid-market companies that need a repeatable, automatable lead pipeline without stitching together five separate tools. The standout capability is waterfall enrichment: rather than relying on a single data provider, TexAu cascades across 12 sources to fill gaps, which meaningfully improves coverage on contact and company data. That said, TexAu is not a sequencing or outbound execution tool — it hands off to tools like Lemlist or Reply.io for actual sending, so teams expecting an all-in-one outreach platform will still need additional tooling.
Key features
fills records with firmographic, technographic, or signal data
first-party connectors, no middleware required
verified emails, real-time enrichment
official SDK
event-driven integrations
Vanderbuild take
TexAu sits squarely in the data enrichment and email verification layer for SDR, GTM engineer, and RevOps teams that want a structured, automatable pipeline from lead discovery through CRM delivery — it's not trying to be a sequencer, and that focus shows in the depth of the enrichment tooling. If you're serious about agentic outbound, this is non-negotiable: the native MCP server makes TexAu callable as an orchestration layer for AI agents, which puts it ahead of most tools in this category that still require a human at the keyboard. At $99/mo for platform plans and $20 per 1,000 API credits, it's affordable for small teams, though costs will climb as enrichment volume scales. The honest limitation is that TexAu stops at the handoff — it doesn't send emails or run sequences itself, so you'll need a separate outbound execution tool in the stack to close the loop.
Agentic stack profile
MCP serverYesLive MCP server — agents can call this tool directly.
Provides an MCP server that exposes 249 actions, including enrichment, verification, scoring, and CRM tools, as native capabilities for AI agents to call directly.
Open MCP →APIRESTProgrammatic access available.
REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.
API docs →Agentic readinessNativeBuilt for agents from the ground up.
MCP server + agent-friendly API + at least one autonomous workflow out of the box. The bar for 'Native' is high — only a handful of tools currently qualify.
Stack roleEnricher · VerifierWhere this tool slots into an agentic pipeline.
Plays the role of Enricher + Verifier in an agentic pipeline. Use it to add firmographic, technographic, and signal data to a lead row on the fly; validate emails or phones before an agent sends or dials.
TexAu alternatives
Tools that solve a similar problem — compared at a glance.
- Pricing
- Seat-based
- Budget
- $$
- Best for
- SDR / BDR, GTM Engineer
- Readiness
- Native
- MCP
- Yes
- API
- REST
- Pricing
- Freemium
- Budget
- $$$
- Best for
- RevOps, GTM Engineer
- Readiness
- Native
- MCP
- Yes
- API
- REST
- Best for
- SDR / BDR, RevOps
- Readiness
- Native
- MCP
- Yes
- API
- REST
Frequently asked questions
Does TexAu have an MCP server?
Yes — TexAu exposes a Model Context Protocol server. Provides an MCP server that exposes 249 actions, including enrichment, verification, scoring, and CRM tools, as native capabilities for AI agents to call directly. See the MCP docs at https://www.texau.com/api-platform.
Does TexAu have a public API?
Yes — TexAu ships a REST API. Docs: https://docs.texau.com/.
How much does TexAu cost?
TexAu: pricing is seat-based, expect mid tier ($$) spend. Full pricing page: https://texau.com/pricing.
Who is TexAu best for?
TexAu is built for SDR / BDR, GTM Engineer, RevOps. Fits SMB (1-50), Mid-market (50-500)-sized teams.
How well does TexAu fit an agentic sales stack?
Tier: Native. Has both an MCP server and an agent-friendly API — drops into an agentic stack with minimal glue code.