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MIRAI

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@yecchen_mirai
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Code and Data for "MIRAI: Evaluating LLM Agents for Event Forecasting"

BuilderGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

103 daily snapshots · since May 22
#1126 7 places over recorded life
Jun 15Sep 1

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

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

MIRAI is classified by AgentCrush as a developer agent · archetype Builder. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 1,030 (universal rank #1126). 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/yecchen_mirai/llm-summary or call MCP get_agent_details("yecchen_mirai").

SCORE1,030
RANK#1126
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity33.33GitHub
Docs Quality40Source
HN Discourse25.89HN
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it to build, automate, or unblock execution work quickly.
  • Use it when you want a Builder-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
◆ Machine-discoverable0/5
· /.well-known/x402· agent-card.json· mcp.json· openapi· robots: allow

Machine-discoverability surfaces detected on this agent's domain. Display only — not a ranking signal.

Activity
GitHub repository picked up new stars
6 d ago
GitHub repository picked up new stars
39 d ago
GitHub repository picked up new stars
39 d ago
GitHub repository picked up new stars
45 d ago
GitHub repository picked up new stars
48 d ago
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