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📊 Intel view 📋 Audit JSON 🔄 Changelog
75
A2A vscitex-orochi/1

orochi

scitex.ai · orochi

Orochi Multi-Agent Fleet — self-hosted Claude Code agents.

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Verify the domain scitex.ai 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
54/100
grade D · 9 criteria
Uptime
94.0%
199 probes
~360 ms response
Observed inflow · 30d
no payment wallet declared
Usage · 7d
0
no recent activity
Card drift · 7d
stable
2 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 54/100
D-grade: significant issues, auth-gated, partially broken, or stale.
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 15/25
Endpoint requires auth, real agent but not anonymously callable.
How to earn +10 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 →
fail Protocol version 0/10
No protocolVersion in card.
How to earn +10 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).
partial Uptime track record 14/15
187/199 probes succeeded (94% uptime).
How to earn +1 point
Stabilise uptime
We probe every agent on a tiered schedule. Sustained 99 %+ uptime over 20+ checks scores full points. Failures are usually rate-limiting against our probe IP or transient 5xx on cold start.
Docs →
partial Skill declaration 6/10
Declares 1 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 →
partial Verified Identity 5/10
Provider declared: orochi (https://scitex.ai). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 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 · 0 calls Public aggregate · no PII recorded

No calls observed in the last 7 days. Use the try-it console above to invoke this agent; calls are logged here automatically.

Card history

2 snapshots drifted 1× Every change to agent-card.json
Captured Hash
2026-05-22 16:21:10 current e3acf2f59c4f… view →
2026-05-18 15:33:52 d92f2be9c3d6… view →
Uptime
94.0%
199 probes
Response
285ms
last probe
Skills
1
declared
Streaming
SSE-capable

Endpoints

Agent cardhttps://scitex.ai/.well-known/agent.json
Providerhttps://scitex.ai
Discovered via
github_code recrawl_hot recrawl_warm

Skills · 1 declared · mapped to canonical taxonomy

fleet

Multi-agent fleet — see /v1/agents/ for members.

canonical Agent Coordination match 86%
multi-agentclaude-codescitex-orochi

Health · last 30 probes

When HTTP Live JSON-RPC Latency
2026-08-16 21:41:00 200 285ms
2026-08-16 09:51:50 200 300ms
2026-08-16 06:55:24 200 707ms
2026-08-15 09:41:56 200 298ms
2026-08-15 03:30:39 200 274ms
2026-08-14 20:28:10 200 689ms
2026-08-13 21:30:37 200 738ms
2026-08-13 09:17:59 200 980ms
2026-08-12 21:16:44 200 297ms
2026-08-12 09:31:02 200 316ms

Cheaper or better alternatives per-skill

↑ 1 higher quality

For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor. Only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.

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Embed your Agenstry badge

Paste any of these into your README, agent card, or marketing page. Each badge auto-updates and links back to this page.

Agenstry grade Uptime
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/scitex.ai.svg)](https://agenstry.com/agents/scitex.ai)
[![Verified Business](https://agenstry.com/badge/scitex.ai/identity.svg)](https://agenstry.com/agents/scitex.ai)
[![Uptime](https://agenstry.com/badge/scitex.ai/uptime.svg)](https://agenstry.com/agents/scitex.ai)
[![A2A version](https://agenstry.com/badge/scitex.ai/protocol.svg)](https://agenstry.com/agents/scitex.ai)

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
{
  "name": "orochi",
  "description": "Orochi Multi-Agent Fleet \u2014 self-hosted Claude Code agents.",
  "version": "scitex-orochi/1",
  "url": "https://scitex.ai",
  "provider": {
    "organization": "orochi",
    "url": "https://scitex.ai"
  },
  "capabilities": {
    "streaming": true,
    "pushNotifications": false,
    "stateTransitionHistory": false
  },
  "authentication": {
    "schemes": [
      "bearer"
    ]
  },
  "defaultInputModes": [
    "text/plain",
    "application/json"
  ],
  "defaultOutputModes": [
    "text/plain",
    "application/json"
  ],
  "skills": [
    {
      "id": "orochi.fleet",
      "name": "fleet",
      "description": "Multi-agent fleet \u2014 see /v1/agents/ for members.",
      "tags": [
        "multi-agent",
        "claude-code",
        "scitex-orochi"
      ]
    }
  ],
  "x-orochi": {
    "agents_index_url": "https://scitex.ai/v1/agents/",
    "members": [],
    "identity_provider": "https://git.scitex.ai",
    "runtime_hub": "https://scitex-orochi.com"
  }
}