KORE Universal Agent Services
triumphant-enthusiasm-production-02e1.up.railway.app
16 services for AI agents: 13 universal infrastructure services (hallucination firewall ΨGuard, context compression ΔPack, semantic dedup ΩDeDup, cross-agent memory ΦMem, token cost arbitrage ΞRoute, prompt normalizer ΛNorm, quality scorer ΘScore, task decomposer ΣSplit, semantic diff ΓDiff, claim provenance ΠProve, embedding cache ΦEmbed, agent sandbox ΨSandbox, immutable audit log ΩAudit) plus 3 pay-per-use A2A-PIL task tools (research / reasoning / tool-use) billed per successful execution.
triumphant-enthusiasm-production-02e1.up.railway.app 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.
https://triumphant-enthusiasm-production-02e1.up.railway.app/.well-known/agent.json and the next probe clears this panel.
| Field | What we saw | What we stored |
|---|---|---|
skills[0].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[1].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[2].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[3].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[4].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[5].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[6].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[7].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[8].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[9].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[10].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[11].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[12].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[13].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[14].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
skills[15].tags[0] |
Input should be a valid string | dropped — this entry was not indexed |
Dispute or improve this rating
D
Conformance score: 46/100
D-grade: significant issues, auth-gated, partially broken, or stale.
click to expand breakdown ▾
click to collapse breakdown ▴
Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. 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 | Snapshot |
|---|---|---|
| 2026-10-18 23:15:03 current | b5d3c6cddbb6… |
view → |
Try it
Send a message to this agent live. Your prompt is proxied through Agenstry.
Endpoints
| Agent card | https://triumphant-enthusiasm-production-02e1.up.railway.app/.well-known/agent.json |
Skills · 16 declared by this agent
These skills are declared by the agent. A taxonomy link appears only when we can classify a skill confidently.
Last gate before agent output emission. Flags unsupported claims.
3-5x semantic compression without quality loss.
Cosine-similarity duplicate detection for RAG ingestion.
Shared Qdrant-backed memory across all agents. Network effect.
Routes to cheapest model that meets quality threshold.
Strips noise, detects injections, normalizes whitespace.
Ranks multiple candidate outputs by heuristic quality.
Splits complex tasks into parallel subtasks.
Meaning-preserving diff between two text outputs.
EU AI Act compliant provenance certificates with hash chains.
LRU-cached embeddings via all-MiniLM. Zero recomputation.
Safe code execution. No Docker needed. 30s timeout.
HMAC-SHA256 chained audit trail. EU AI Act compliant.
Pay-per-use research task. 2 credits/successful execution. Cache hits, idempotent retries, failed executions, and rate-limited requests are NOT billed.
Pay-per-use reasoning task. 5 credits/successful execution. Cache hits, idempotent retries, failed executions, and rate-limited requests are NOT billed.
Pay-per-use tool-use task. 10 credits/successful execution. Cache hits, idempotent retries, failed executions, and rate-limited requests are NOT billed.
Health · last 1 probes
Cheaper or better alternatives per-skill
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.
Similar agents embedding-nearest
Embed your Agenstry badge
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Markdown / HTML snippets
[](https://agenstry.com/agents/triumphant-enthusiasm-production-02e1.up.railway.app) [](https://agenstry.com/agents/triumphant-enthusiasm-production-02e1.up.railway.app) [](https://agenstry.com/agents/triumphant-enthusiasm-production-02e1.up.railway.app) [](https://agenstry.com/agents/triumphant-enthusiasm-production-02e1.up.railway.app)
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.
Raw agent card JSON
{
"name": "KORE Universal Agent Services",
"description": "16 services for AI agents: 13 universal infrastructure services (hallucination firewall \u03a8Guard, context compression \u0394Pack, semantic dedup \u03a9DeDup, cross-agent memory \u03a6Mem, token cost arbitrage \u039eRoute, prompt normalizer \u039bNorm, quality scorer \u0398Score, task decomposer \u03a3Split, semantic diff \u0393Diff, claim provenance \u03a0Prove, embedding cache \u03a6Embed, agent sandbox \u03a8Sandbox, immutable audit log \u03a9Audit) plus 3 pay-per-use A2A-PIL task tools (research / reasoning / tool-use) billed per successful execution.",
"url": "https://triumphant-enthusiasm-production-02e1.up.railway.app",
"version": "1.1.0",
"capabilities": {
"a2a": {
"endpoint": "/a2a/tasks/send",
"supported_message_types": [
"text",
"data"
]
},
"a2a_pil": {
"endpoint": "/v1/a2a/tasks",
"task_classes": [
"research",
"reasoning",
"tool-use"
],
"billing": "stripe_meter_per_successful_execution",
"credits": {
"research": 2,
"reasoning": 5,
"tool-use": 10
},
"idempotency_key_header": "Idempotency-Key",
"cache_ttl_seconds": 60
},
"mcp": {
"endpoint": "/mcp/call",
"manifest": "/mcp/manifest"
},
"rest": {
"endpoint": "/v1/compliance/verify",
"openapi": "/openapi.json"
}
},
"trust_card": "/trust-card",
"pricing": "/pricing",
"service_catalog": "/v1/services",
"authentication": {
"type": "api-key",
"signup_url": "https://triumphant-enthusiasm-production-02e1.up.railway.app/pricing"
},
"skills": [
{
"id": "guard",
"name": "\u03a8Guard Hallucination Firewall",
"description": "Last gate before agent output emission. Flags unsupported claims.",
"endpoint": "POST /v1/guard",
"score": 8.94,
"pricing": "$0.0005/call",
"free_tier": 1000,
"tags": [
[
"safety",
"hallucination",
"guard",
"verification"
]
]
},
{
"id": "compress",
"name": "\u0394Pack Context Compression",
"description": "3-5x semantic compression without quality loss.",
"endpoint": "POST /v1/compress",
"score": 9.0,
"pricing": "$0.003/call",
"free_tier": 10000,
"tags": [
[
"cost",
"compression",
"tokens",
"efficiency"
]
]
},
{
"id": "dedup",
"name": "\u03a9DeDup Semantic Deduplication",
"description": "Cosine-similarity duplicate detection for RAG ingestion.",
"endpoint": "Coming soon",
"score": 7.5,
"pricing": "$0.001/call",
"free_tier": 5000,
"tags": [
[
"deduplication",
"rag",
"semantic",
"ingestion"
]
]
},
{
"id": "memory",
"name": "\u03a6Mem Cross-Agent Memory",
"description": "Shared Qdrant-backed memory across all agents. Network effect.",
"endpoint": "POST /v1/memory/write, /recall",
"score": 9.11,
"pricing": "$0.002/write, $0.001/recall",
"free_tier": 1000,
"tags": [
[
"memory",
"persistence",
"qdrant",
"swarm"
]
]
},
{
"id": "route",
"name": "\u039eRoute Token Cost Arbitrage",
"description": "Routes to cheapest model that meets quality threshold.",
"endpoint": "POST /v1/route",
"score": 8.0,
"pricing": "$0.0001/call",
"free_tier": 10000,
"tags": [
[
"routing",
"cost",
"optimization",
"fallback"
]
]
},
{
"id": "normalize",
"name": "\u039bNorm Prompt Normalizer",
"description": "Strips noise, detects injections, normalizes whitespace.",
"endpoint": "POST /v1/normalize",
"score": 8.7,
"pricing": "$0.0001/call",
"free_tier": 10000,
"tags": [
[
"security",
"injection",
"normalization",
"sanitization"
]
]
},
{
"id": "score",
"name": "\u0398Score Output Quality Scorer",
"description": "Ranks multiple candidate outputs by heuristic quality.",
"endpoint": "POST /v1/score",
"score": 8.5,
"pricing": "$0.02/call",
"free_tier": 500,
"tags": [
[
"quality",
"scoring",
"ranking",
"evaluation"
]
]
},
{
"id": "split",
"name": "\u03a3Split Task Decomposer",
"description": "Splits complex tasks into parallel subtasks.",
"endpoint": "POST /v1/split",
"score": 8.3,
"pricing": "$0.005/call",
"free_tier": 1000,
"tags": [
[
"planning",
"decomposition",
"parallel",
"workflow"
]
]
},
{
"id": "diff",
"name": "\u0393Diff Semantic Diff Engine",
"description": "Meaning-preserving diff between two text outputs.",
"endpoint": "POST /v1/diff",
"score": 7.8,
"pricing": "$0.005/call",
"free_tier": 1000,
"tags": [
[
"diff",
"comparison",
"versioning",
"change-tracking"
]
]
},
{
"id": "provenance",
"name": "\u03a0Prove Claim Provenance",
"description": "EU AI Act compliant provenance certificates with hash chains.",
"endpoint": "POST /v1/provenance/certify",
"score": 8.85,
"pricing": "$0.01/certify",
"free_tier": 500,
"tags": [
[
"compliance",
"provenance",
"eu-ai-act",
"hash-chain"
]
]
},
{
"id": "embed",
"name": "\u03a6Embed Embedding Cache",
"description": "LRU-cached embeddings via all-MiniLM. Zero recomputation.",
"endpoint": "POST /v1/embed",
"score": 7.6,
"pricing": "$0.001/call",
"free_tier": 5000,
"tags": [
[
"embedding",
"cache",
"vector",
"miniLM"
]
]
},
{
"id": "sandbox",
"name": "\u03a8Sandbox Agent Sandbox",
"description": "Safe code execution. No Docker needed. 30s timeout.",
"endpoint": "POST /v1/sandbox/exec",
"score": 8.82,
"pricing": "$0.005/exec",
"free_tier": 100,
"tags": [
[
"sandbox",
"execution",
"code",
"isolation"
]
]
},
{
"id": "audit",
"name": "\u03a9Audit Immutable Audit Log",
"description": "HMAC-SHA256 chained audit trail. EU AI Act compliant.",
"endpoint": "GET /v1/audit/trail",
"score": 9.15,
"pricing": "Included",
"free_tier": "unlimited",
"tags": [
[
"audit",
"compliance",
"hmac",
"tamper-evident"
]
]
},
{
"id": "a2a-research",
"name": "A2A-PIL Research",
"description": "Pay-per-use research task. 2 credits/successful execution. Cache hits, idempotent retries, failed executions, and rate-limited requests are NOT billed.",
"endpoint": "POST /v1/a2a/tasks",
"score": 9.0,
"pricing": "2 credits/successful execution",
"free_tier": "Not in free tier; requires Starter tier or above",
"tags": [
[
"a2a",
"pil",
"pay-per-use",
"research"
]
]
},
{
"id": "a2a-reasoning",
"name": "A2A-PIL Reasoning",
"description": "Pay-per-use reasoning task. 5 credits/successful execution. Cache hits, idempotent retries, failed executions, and rate-limited requests are NOT billed.",
"endpoint": "POST /v1/a2a/tasks",
"score": 9.0,
"pricing": "5 credits/successful execution",
"free_tier": "Not in free tier; requires Starter tier or above",
"tags": [
[
"a2a",
"pil",
"pay-per-use",
"reasoning"
]
]
},
{
"id": "a2a-tool-use",
"name": "A2A-PIL Tool Use",
"description": "Pay-per-use tool-use task. 10 credits/successful execution. Cache hits, idempotent retries, failed executions, and rate-limited requests are NOT billed.",
"endpoint": "POST /v1/a2a/tasks",
"score": 9.0,
"pricing": "10 credits/successful execution",
"free_tier": "Not in free tier; requires Starter tier or above",
"tags": [
[
"a2a",
"pil",
"pay-per-use",
"tool-use"
]
]
}
],
"metrics": {
"trust_card_url": "/trust-card",
"update_frequency_seconds": 300
}
}