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For developers building GTM agents, MoltSets is an unlimited contact-data API that powers waterfall enrichment inside Clay and Claude Code — covering people and company search, email and phone enrichment, and validation.

Presence & Market Position

24
SOV ScoreSOV Score — earned, engagement-weighted share of voice across Adam's curated panel of GTM voices, scored against the market. Earned only: a brand's own posts do not count. Not a quality rating, endorsement, or paid placement.

#51 of 80
AI-Native GTM Challengers

▼ 43 60-day move

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

MoltSets is positioning itself as an unlimited contact-data API for GTM agents, covering people and company search, email and phone enrichment, and validation. Practitioner conversation frames it as part of a shift toward consolidated data access for agent-built prospecting workflows, alongside other enrichment and signal providers. The company’s launch messaging centers on a simple commercial model for contact data and direct use inside Clay and Claude Code. Its presence is early but distinct: a developer-facing data layer intended to make enrichment waterfalls and outbound audience building more programmable.

Related brands
Customers

Business Profile

MoltSets launched in mid-2026 as the fourth startup built by Adam Robinson, following RB2B and Retention.com, and is funded out of the cash flow those two businesses generate rather than outside capital. The product remains in closed beta, priced as a flat-fee unlimited plan rather than the credit-based model that dominates the contact-data category. Robinson has framed the build as deliberately lean, running a small team, using AI agents to handle customer support, and documenting the build process publicly through his own channels. It remains an independent, self-funded venture with no disclosed headcount or outside funding to date.

Status
Independent
Scale stage
Startup
Type
GTM Developer Tools
GTM categories
Data & Intelligence
Developer capabilities
Enrichment & Signals

Agent Readiness

76A
Agent ReadinessAgent Readiness — how easily an AI agent can build on this product: documented API, MCP server, CLI and SDK surfaces plus the depth of the docs behind them. Scored 0-100 and graded A-F.
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

MoltSets ships a documented API alongside an MCP server, wiring its contact-data waterfall directly into Claude Code, Codex, and Clay rather than requiring a dashboard. It has published a growing library of pre-built Claude Skills, now numbering in the dozens, that let an agent search, enrich, and validate contacts in plain English. The build-out reads as agent-first from the start rather than an API retrofitted for agents afterward.