openclaw-lark-multi-agent
Multi-bot Lark/Feishu bridge for OpenClaw, with per-bot model routing and isolated sessions
Crawler Summary
Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It prioritizes explicit configuration, reproducibility, and operational clarity over statistical novelty or predictive modeling. Given the same SimulationManifest and seed, the engine produces identical outputs, enforces strict versioned schemas at boundaries, and emits provenance metadata with every run. Outputs include L2 order books, trade events, and funding events in Parquet, JSONL, or streaming form. Aleatoric Engine is infrastructure—not a predictive system—and it does not generate trading signals, optimize strategies, or forecast prices. Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It prioritizes explicit configuration, reproducibility, and operational clarity over statistical novelty or predictive modeling. Given the same SimulationManifest and seed, the engine produces identical outputs, enforces strict Capability contract not published. No trust telemetry is available yet. Last updated 6/1/2026.
Freshness
Last checked 6/1/2026
Best For
Aleatoric is best for general automation workflows where MCP compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, Smithery, runtime-metrics, public facts pack
Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It prioritizes explicit configuration, reproducibility, and operational clarity over statistical novelty or predictive modeling. Given the same SimulationManifest and seed, the engine produces identical outputs, enforces strict versioned schemas at boundaries, and emits provenance metadata with every run. Outputs include L2 order books, trade events, and funding events in Parquet, JSONL, or streaming form. Aleatoric Engine is infrastructure—not a predictive system—and it does not generate trading signals, optimize strategies, or forecast prices. Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It prioritizes explicit configuration, reproducibility, and operational clarity over statistical novelty or predictive modeling. Given the same SimulationManifest and seed, the engine produces identical outputs, enforces strict
Public facts
3
Change events
0
Artifacts
0
Freshness
Jun 1, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 6/1/2026.
Trust score
Unknown
Compatibility
MCP
Freshness
Jun 1, 2026
Vendor
Aleatoric
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 6/1/2026.
Setup snapshot
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Aleatoric
Protocol compatibility
MCP
Handshake status
UNKNOWN
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
0
Snippets
0
Languages
Unknown
Full documentation captured from public sources, including the complete README when available.
Docs source
Smithery
Editorial quality
ready
Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It prioritizes explicit configuration, reproducibility, and operational clarity over statistical novelty or predictive modeling. Given the same SimulationManifest and seed, the engine produces identical outputs, enforces strict versioned schemas at boundaries, and emits provenance metadata with every run. Outputs include L2 order books, trade events, and funding events in Parquet, JSONL, or streaming form. Aleatoric Engine is infrastructure—not a predictive system—and it does not generate trading signals, optimize strategies, or forecast prices. Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It prioritizes explicit configuration, reproducibility, and operational clarity over statistical novelty or predictive modeling. Given the same SimulationManifest and seed, the engine produces identical outputs, enforces strict
Aleatoric Engine is deterministic market simulation infrastructure for generating reproducible, schema-stable synthetic market data used in financial research, validation, and systems testing. It prioritizes explicit configuration, reproducibility, and operational clarity over statistical novelty or predictive modeling. Given the same SimulationManifest and seed, the engine produces identical outputs, enforces strict versioned schemas at boundaries, and emits provenance metadata with every run. Outputs include L2 order books, trade events, and funding events in Parquet, JSONL, or streaming form. Aleatoric Engine is infrastructure—not a predictive system—and it does not generate trading signals, optimize strategies, or forecast prices.
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/contract"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Multi-bot Lark/Feishu bridge for OpenClaw, with per-bot model routing and isolated sessions
Node.js client for the OpenClaw Gateway WebSocket protocol
Relaycast bridge for OpenClaw — messaging, identity, runtime setup, and local spawning
Shared agent tool selection and orchestration strategy helpers for openclaw and openclaw-hub
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"MCP"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "SMITHERY",
"generatedAt": "2026-10-08T23:15:09.020Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "MCP",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:MCP|unknown|profile"
}Facts JSON
[
{
"factKey": "vendor",
"label": "Vendor",
"value": "Aleatoric",
"category": "vendor",
"href": "https://sim.aleatoric.systems/#pricing",
"sourceUrl": "https://sim.aleatoric.systems/#pricing",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-31T06:19:10.024Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "MCP",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-05-31T06:19:10.024Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-aleatoric-causal-mcp/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[]
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