Relevance AI

Relevance AI

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@relevance_ai
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No-code platform for building AI agent teams

OperatorActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

156 daily snapshots · since May 22
#1295▼ 1,112 places over recorded life
May 22Oct 24

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

Relevance AI is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 300 (universal rank #1295). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/relevance_ai/llm-summary or call MCP get_agent_details("relevance_ai").

SCORE300
RANK#1295
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
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DEP
—
DOC
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DIS
0
ECO
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What this agent does
  • ▸Use it to build, automate, or unblock execution work quickly.
  • ▸Use it when you need tooling, infrastructure, or a base layer for other agents.
  • ▸Use it when you want a Operator-style agent for focused tasks.
Identity / Stack
Typeagent
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