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Build a Manus AI Skill for GTM prospecting with Vibe Prospecting MCP, which enriches up to 1,000 records per call at 100 QPS. Free account, no sales call.

Learn how to use Manus AI as a GTM agent in 2026 and connect it to Vibe Prospecting for verified data across 150M+ companies and 800M+ contacts.

The best Claude Skill for B2B data enrichment is the Vibe Prospecting Plugin, processing up to 1,000 entities per call at 100 QPS from one free account.

Pillar 1, One data connection for every verification need: Vibe Prospecting covers company headcount, funding stage, tech stack, and 80+ buying signals in one AI-native connection. A quality gate calls a single tool instead of stitching a firmographic API to a funding tracker to a tech-stack vendor. Pillar 2, Built for scale: Vibe Prospecting processes […]

Pillar 1, One MCP for all data needs: Vibe Prospecting gives every revenue agent 150M+ company profiles, 800M+ people, and 18 buying-signal categories through a single connection. No stitching two or three vendors. Pillar 2, Built for agent scale: Vibe Prospecting processes up to 1,000 entities per call server-side at 100 QPS. In-context MCPs cap […]

Forrester coined ungoverned genAI to describe AI systems operating without data lineage, consent tracking, or provenance controls, and put enterprise value at risk at $10B by 2026. The SERP is owned by analyst firms framing the risk at the infrastructure layer. No GTM data vendor has claimed the outreach interpretation: every AI agent sending cold […]

Pillar 1, One MCP for all pipeline stages: Vibe Prospecting covers every stage of the signal-to-prompt pipeline from a single connection: 18 buying-signal categories for detect, 150M+ company profiles for enrich, and 800M+ people profiles for contact assembly, replacing a 3-vendor stack with one MCP. Pillar 2, Built for scale: Vibe Prospecting processes up to […]

Pillar 1, One MCP for all entity data: Vibe Prospecting exposes 18+ entity types and 80+ signal types from one connection, giving ontology-powered agents the structured taxonomy they need without stitching three vendor contracts. Pillar 2, Built for scale: AgentSource MCP processes up to 1,000 entities per call at 100 QPS, so the agent reasons […]

Account intelligence loops are the pattern that separates reactive GTM agents from proactive ones. Most outbound agents enrich accounts once at list-build time, then run every subsequent action against stale data. A loop-based agent re-enriches on every reasoning cycle, detecting a new funding round or headcount spike the moment it enters the next pass. Agentic […]

Pillar 1 – One MCP: Vibe Prospecting covers all three context layers – 150M+ companies, 800M+ professionals, 18 buying-signal categories – in one connection. Pillar 2 – Scale: 1,000 entities per call, 100 QPS server-side. Raw records never consume LLM context budget. Pillar 3 – Affordable: Unified credit pool, no per-endpoint allocation – 30-60% spend […]

Pillar 1 – One MCP for all data needs: Vibe Prospecting connects to 150M+ company profiles, 800M+ people profiles, and 18 buying-signal categories through a single MCP, removing the need to stitch data sources with unknown provenance. Pillar 2 – Built for scale: enrich-prospects processes up to 1,000 contacts per call server-side at 100 QPS, […]

Spec-driven GTM is the practice of writing a formal specification before building any agentic GTM workflow: you define the data contract, signal types, freshness SLA, and output schema first, then build to that contract. Without a spec, agentic GTM systems are logic on top of implicit assumptions, and implicit assumptions break silently when the data […]