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MoltSets
Cloud-based B2B data enrichment API for GTM teams
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MoltSets - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: October 2026
MoltSets overview
What is MoltSets?
MoltSets is a cloud-based B2B data enrichment API that enables sales, marketing, revenue operations, and go-to-market engineering teams to find and enrich prospect records at scale. Delivered exclusively via HTTPS REST API and MCP server with no dashboard or UI, it integrates directly into Clay, Claude Code, Codex, n8n, claude.ai, and any custom stack using an API key. Core capabilities include verified business and personal email lookup with risk scores, real-time carrier-verified mobile phone enrichment, people and company search filterable by name, domain, industry, size, and revenue, reverse email lookup, LinkedIn URL resolution to full contact profiles, and SHA256 email hashing for ad audience creation. The database refreshes every 7 days, and all email validations carry a date-of-validation under 30 days. Built-in data waterfalls maximize first-call coverage without requiring custom waterfall logic.
MoltSets is architected for agentic and high-volume workflows. A uniform request shape and response envelope across all endpoints allows an AI agent that learns one endpoint to call all others without additional integration work. The native MCP server enables Claude (Web and Claude Code) to call enrichment endpoints conversationally without custom integration code. Account, billing, and usage endpoints are free and do not count against rate limits, allowing agents to self-monitor autonomously. Flat-rate unlimited pricing starting at $27/month eliminates per-lookup credit costs and unpredictable cost loops at scale, with no per-seat pricing and rate limits reaching up to 1,125,000 requests per 5 hours on the top tier. This pricing and rate-limit structure removes the need for cost caps or call-counting logic inside agentic workflows, making MoltSets suited for LeadGen agencies running enrichment waterfalls, AI-native founders building agentic go-to-market stacks, RevOps teams, individual sales reps, and AI agents operating as part of larger automated pipelines.
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