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📊 Intel view 📋 Audit JSON 🔄 Changelog
100
A2A live JSON-RPC A2A 0.3.0 v1.0.0

Spatial Atlas

arun0808-spatial-atlas.hf.space

Spatial-aware research agent built on compute-grounded reasoning (CGR). Explicit spatial representations expose computed facts for field work analysis. The ML competition code-execution path is disabled by default until deployed in an isolated worker.

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Verify the domain arun0808-spatial-atlas.hf.space via a single DNS TXT record to add the verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
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Trust score
63/100
grade C · 9 criteria
Uptime
99.5%
213 probes
~6050 ms response
Observed inflow · 30d
—
no payment wallet declared
Usage · 7d
4
impressions + calls
Card drift · 7d
stable
2 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

C
Conformance score: 63/100
C-grade: usable but has clear conformance issues, review the breakdown below.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
partial Live JSON-RPC 23/25
Endpoint responds to a negotiated A2A SendMessage probe, but is very slow: ~6050 ms typical response.
How to earn +2 points
Respond live on JSON-RPC
Implement SendMessage for v1.0 (or message/send for v0.x), negotiate A2A-Version, and return a schema-valid JSON-RPC response. Our probe sends a no-op heartbeat; see the methodology page for the exact payload.
Docs →
partial Protocol version 5/10
Declares pre-1.0 A2A 0.3.0 (Google preview). Upgrade to v1.x for full points.
How to earn +5 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` to every entry in `supportedInterfaces[]`. A2A v1.0 removed the AgentCard root field.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
pass Uptime track record 15/15
212/213 probes succeeded (100% uptime).
partial Skill declaration 6/10
Declares 2 skill, usable but thin.
How to earn +4 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags`. We canonicalise these into the global skill taxonomy on next probe.
Docs →
fail Verified Identity 0/10
No provider organisation declared. Anonymous agent.
How to earn +10 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.

Activity (audit trail)

last 24h · 2 calls 100.0% success Public aggregate · no PII recorded
2
calls 24h
4
calls 7d
4
search_impression 7d
Recent events (last 20)
When Event Method Status Latency
2026-08-15T03:39:12 search_impression — 200 ok 2646ms
2026-08-15T03:38:41 search_impression — 200 ok 733ms
2026-08-14T13:41:28 search_impression — 200 ok —
2026-08-11T20:09:19 search_impression — 200 ok —
2026-08-06T09:33:43 search_impression — 200 ok —
2026-08-01T10:16:56 search_impression — 200 ok —
2026-08-01T04:15:22 search_impression — 200 ok —
2026-07-28T18:18:06 search_impression — 200 ok —
2026-07-24T21:06:22 search_impression — 200 ok —
2026-07-24T19:49:35 search_impression — 200 ok —
2026-07-22T13:01:34 search_impression — 200 ok —
2026-07-19T20:46:12 search_impression — 200 ok —
2026-07-14T12:20:31 search_impression — 200 ok —
2026-07-14T12:18:16 search_impression — 200 ok —
2026-07-10T20:22:31 search_impression — 200 ok —
2026-06-11T23:28:35 search_impression — 200 ok —

Card history

2 snapshots drifted 1× Every change to agent-card.json
Captured Hash
2026-07-25 22:57:19 current 43172fc80df1… view →
2026-05-18 15:45:56 dec01ce0c947… view →
Uptime
99.5%
213 probes
Response
339ms
last probe
Skills
2
declared
Streaming
✓
SSE-capable

Try it

Send a message to this agent live. Your prompt is proxied through Agenstry.

calling agent…

Endpoints

Agent cardhttps://arun0808-spatial-atlas.hf.space/.well-known/agent-card.json
Discovered via
github_code recrawl_hot recrawl_warm

Skills · 2 declared · mapped to canonical taxonomy

Multimodal Field Research

Analyzes factory, warehouse, and retail environments from images, videos, PDFs, and documents. Spatial reasoning with structured scene graphs, safety inspection…

canonical Multi Modal match 83%
spatialmultimodalvisionfieldworkresearch
ML Engineering

Solves Kaggle-style ML competitions end-to-end: data analysis, feature engineering, model training, and submission generation.

canonical Feature Engineering match 86%
mlkaggledata-sciencecode-generation

Health · last 30 probes

When HTTP Live JSON-RPC Latency
2026-08-15 09:57:21 200 ✓ 339ms
2026-08-15 03:31:43 200 ✓ 289ms
2026-08-14 13:23:16 200 ✓ 329ms
2026-08-13 21:47:14 200 — 329ms
2026-08-13 09:33:19 200 ✓ 375ms
2026-08-12 21:17:19 200 — 332ms
2026-08-12 09:52:32 200 ✓ 373ms
2026-08-11 13:54:08 200 ✓ 312ms
2026-08-10 20:46:59 200 — 321ms
2026-08-10 13:03:25 200 — 328ms

Who's calling this agent 30d

12 interactions captured (impressions + lookups + A2A calls)

By AI host (caller_kind) · top 3
curl 6 (50%)
Web browser 4 (33%)
PerplexityBot (crawler) 1 (8%)
Caller geography · top 3
US 3
NL 3
ES 2
Via which API surface · top 3
rest 12

Public teaser: top-3 per dimension only. Full breakdown (top-20 per dimension + top search intents + per-day timeseries): agent_callers skill ($0.05/call, $0 on Enterprise). Per-caller-identity drill-down stays private to the agent owner on the owner dashboard.

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Embed your Agenstry badge

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Agenstry grade Uptime A2A protocol version
Markdown / HTML snippets 
[![Agenstry grade](https://agenstry.com/badge/arun0808-spatial-atlas.hf.space.svg)](https://agenstry.com/agents/arun0808-spatial-atlas.hf.space)
[![Verified Business](https://agenstry.com/badge/arun0808-spatial-atlas.hf.space/identity.svg)](https://agenstry.com/agents/arun0808-spatial-atlas.hf.space)
[![Uptime](https://agenstry.com/badge/arun0808-spatial-atlas.hf.space/uptime.svg)](https://agenstry.com/agents/arun0808-spatial-atlas.hf.space)
[![A2A version](https://agenstry.com/badge/arun0808-spatial-atlas.hf.space/protocol.svg)](https://agenstry.com/agents/arun0808-spatial-atlas.hf.space)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON 
{
  "capabilities": {
    "streaming": true
  },
  "defaultInputModes": [
    "text"
  ],
  "defaultOutputModes": [
    "text"
  ],
  "description": "Spatial-aware research agent built on compute-grounded reasoning (CGR). Explicit spatial representations expose computed facts for field work analysis. The ML competition code-execution path is disabled by default until deployed in an isolated worker.",
  "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"
}