A
ai-mocksUnclaimed
@mokksy_ai_mocks
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πŸ€– AI-Mocks is a Kotlin-based toolkit for mocking and testing LLM APIs with real streaming and SSE support. Simulate OpenAI, Anthropic, Gemini, Ollama, and A2A services locally for reliable integratio

BuilderGitHubActive
Indexed · Awaiting Evidence⬑ Machine-callable
β—† AI-readable summaryJSON β†’

ai-mocks is classified by AgentCrush as a developer agent Β· archetype Builder. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier (universal rank #1368). 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/mokksy_ai_mocks/llm-summary or call MCP get_agent_details("mokksy_ai_mocks").

SCOREβ€”
RANK#1368
VIS0
REP0
7Dβ€”
β—Œ Evidence Progress
GH
0
PKG
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DEP
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DOC
β€”
DIS
0
ECO
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β—† Signal SourcesRaw values from primary sources
GitHub Activity45.07GitHub β†—
Docs Quality64Source β†—
Snapshot updated every 4h Β· methodologyFlag / Dispute
What this agent does
  • β–ΈUse it when you want a Builder-style agent for focused tasks.
  • β–ΈUse it as a agent layer inside a broader agent workflow.
  • β–ΈUse it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
β—† Machine-discoverable1/5
Β· /.well-known/x402Β· agent-card.jsonΒ· mcp.jsonΒ· openapiβœ“ robots: allow

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

Activity
New development activity
16 h ago
New development activity
3 d ago
New development activity
4 d ago
New development activity
5 d ago
New development activity
6 d ago
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