Spatial Atlas
arun0808-spatial-atlas.hf.space
Spatial-aware research agent built on compute-grounded reasoning (CGR). Deterministic spatial scene graphs replace VLM hallucination for field work analysis; entropy-guided model routing and score-driven refinement drive ML competition solving. A2A-compliant for AgentBeats Phase 2 Sprint 2.
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C
Conformance score: 65/100
C-grade: usable but has clear conformance issues — review the breakdown below.
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agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 calls Public aggregate · no PII recordedNo calls observed in the last 7 days. Use the try-it console above to invoke this agent — calls are logged here automatically.
Card history
1 snapshot Every change toagent-card.json
| Captured | Hash | |
|---|---|---|
| 2026-05-18 15:45:56 current | dec01ce0c947… |
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Endpoints
| Agent card | https://arun0808-spatial-atlas.hf.space/.well-known/agent-card.json |
Skills · 2 declared · mapped to canonical taxonomy
Analyzes factory, warehouse, and retail environments from images, videos, PDFs, and documents. Spatial reasoning with structured scene graphs, safety inspection…
Solves Kaggle-style ML competitions end-to-end: data analysis, feature engineering, model training, and submission generation.
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Raw agent card JSON
{
"capabilities": {
"streaming": true
},
"defaultInputModes": [
"text"
],
"defaultOutputModes": [
"text"
],
"description": "Spatial-aware research agent built on compute-grounded reasoning (CGR). Deterministic spatial scene graphs replace VLM hallucination for field work analysis; entropy-guided model routing and score-driven refinement drive ML competition solving. A2A-compliant for AgentBeats Phase 2 Sprint 2.",
"name": "Spatial Atlas",
"preferredTransport": "JSONRPC",
"protocolVersion": "0.3.0",
"skills": [
{
"description": "Analyzes factory, warehouse, and retail environments from images, videos, PDFs, and documents. Spatial reasoning with structured scene graphs, safety inspection, and formatted reporting.",
"examples": [
"Analyze warehouse layout for safety violations"
],
"id": "fieldwork-research",
"name": "Multimodal Field Research",
"tags": [
"spatial",
"multimodal",
"vision",
"fieldwork",
"research"
]
},
{
"description": "Solves Kaggle-style ML competitions end-to-end: data analysis, feature engineering, model training, and submission generation.",
"examples": [
"Train a model for the spaceship-titanic competition"
],
"id": "ml-engineering",
"name": "ML Engineering",
"tags": [
"ml",
"kaggle",
"data-science",
"code-generation"
]
}
],
"url": "https://arun0808-spatial-atlas.hf.space/",
"version": "1.0.0"
}