github search·amazon-science-vendster
amazon-science/Vendster
amazon-science/Vendster: Time-series forecasters are ranked almost entirely by accuracy metrics, but a forecast's decision value, its effect on the downstream decision, need not track accuracy and is rarely measured. This problem compounds as large language model (LLM) agents increasingly consume fore...
AgentScore
19.90.00
+0.00 vs 24h ago
Adoption1.3
Quality50.0
Momentum60.0
Community11.3
Unrated pillars contribute zero
CapabilitiesMulti AgentTool Use
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
Not enough score history in this window yet — try a wider one.
Pillar contributions
- GitHub stars1→ 5.0MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 1.3.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs, PyPI monthly installs
Embed badgeShow your AgentTape rank on your project README
Markdown
[](https://agenttape.com/agents/amazon-science-vendster)
HTML
<a href="https://agenttape.com/agents/amazon-science-vendster"><img src="https://agenttape.com/api/badge/amazon-science-vendster.svg" alt="AgentTape" /></a>
Similar
Vibe-search via embedding cosine
Score envelope last computed 3d ago.