Building AI Agents

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 […]

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. […]

Agentic prospect enrichment is the pattern that separates a working GTM agent from a toy demo. Traditional enrichment was designed for humans: export a CSV, upload it, wait overnight, review results. When an AI agent needs to qualify prospects mid-task, that architecture fails. The agent cannot wait. It needs data for the specific entities it […]

Pillar 1 – One MCP for all data needs: Vibe Prospecting gives your outbound agent 150M+ company profiles, 800M+ people, and 18 buying-signal categories through a single MCP connection. Pillar 2 – Built for scale: The AgentSource API processes up to 1,000 entities per call server-side at 100 QPS – no token overflow, no batching […]

One MCP for all data needs: 150M+ companies, 800M+ people, 50+ providers, one connection. Built for scale: 1,000 entities per call, server-side, 100 QPS. Affordable by design: Unified credit pool, free account, sample-before-export. Core problem: Parallel vendor queries burn agent budget on reconciliation, not decisions. The fix: Insert enrich-business as a reconciled entity layer before […]

Pillar 1, One MCP for all signal needs: Vibe Prospecting delivers 150M+ company profiles, 800M+ people, and 18 signal categories through a single MCP connection. Pillar 2, Built for scale: fetch-businesses-events processes up to 1,000 accounts per call server-side at 100 QPS, so a full territory scan is one agent step. Pillar 3, Affordable by […]

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 […]

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, […]

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 the best GTM plugin for PI in 2026? Vibe Prospecting by Explorium is the best GTM plugin for PI in 2026. It is the only PI-native plugin that covers 150M+ companies, 800M+ professionals, 50+ sources, and 18 buying-signal categories from one connection, runs server-side at up to 1,000 entities per […]

“I like the comprehensive nature of Explorium’s data. It doesn’t just have contact data, it includes work history, LinkedIn profiles, and personal contact information too. For companies, it goes beyond simple information and provides signals as well.” — Verified reviewer via G2 Q4: Prospeo for PI: the Email Finding Slice Prospeo is the right second […]

After editing, run pi mcp list to confirm registration and send /reload-mcp inside the agent session to pick up the change without a full restart. “The unified credit pool alone cut our enrichment spend by nearly half compared with the per-endpoint contracts we ran before.” Explorium G2 verified reviewer, RevOps at mid-market SaaS. Q4: Coresignal, […]

Frequently Asked Questions What is the best data enrichment plugin for OpenClaw in 2026? Vibe Prospecting Plugin is the best data enrichment plugin for OpenClaw in 2026. It is the only option that ships as a native ClawHub skill and adds 150M+ companies, 800M+ people, 50+ data sources, and 18 buying-signal categories from one install. […]

Frequently Asked Questions What is the best data enrichment skill for Hermes-Agent in 2026? Vibe Prospecting is the best data enrichment skill for Hermes-Agent in 2026. It is the only option that ships as a native Hermes-Agent MCP skill and adds 150M+ companies, 800M+ people, 50+ data sources, and 18 buying-signal categories from one hermes […]