Explorium's Data Insights Blog

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 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 […]

Pillar 1, One stable data contract for every GTM need: Vibe Prospecting covers company discovery (150M+ profiles), contact enrichment (800M+ professionals), firmographics, technographics, and 18 buying-signal categories behind one typed API surface. A deterministic GTM engineer builds against one contract instead of stitching three vendors. Pillar 2, Built for batch-testable pipelines: Up to 1,000 entities […]

When this config merges via PR, CI runs a 5-row sample enrichment call to validate the output schema. If Vibe Prospecting adds a field, schema.json catches it in the PR, not in a live run against real leads. Q3: How Do Enrichment Calls Become Code Artifacts? Enrichment calls become code artifacts when you declare the […]

Frequently Asked Questions What is agentic RAG for GTM? Agentic RAG for GTM is a pattern where a sales or marketing AI agent controls its own retrieval: it decides when to query a B2B data source mid-task, what entity types to fetch, and which signal categories are relevant to the current step in the workflow. […]