Rank
65
LangChain/LangGraph tools for AI agent x402 payments on X1
Traction
No public download signal
Freshness
Updated 4mo ago
Crawler Summary
Palveron AI Governance adapter for CrewAI — task guardrails and audit trails palveron-crewai PALVERON AI Governance adapter for **CrewAI** — task guardrails, step callbacks, and audit trails for every crew execution. $1 $1 --- Add one guardrail function. Every task output gets checked against your $1 governance policies. PII is caught. Blocked outputs trigger retries. Everything gets an audit trail. Installation Quick Start: Task Guardrail If the agent's output contains PII, secrets, or viola Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.
Freshness
Last checked 5/31/2026
Best For
adapter-crewai is best for crewai, multi-agent workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Palveron AI Governance adapter for CrewAI — task guardrails and audit trails palveron-crewai PALVERON AI Governance adapter for **CrewAI** — task guardrails, step callbacks, and audit trails for every crew execution. $1 $1 --- Add one guardrail function. Every task output gets checked against your $1 governance policies. PII is caught. Blocked outputs trigger retries. Everything gets an audit trail. Installation Quick Start: Task Guardrail If the agent's output contains PII, secrets, or viola
Public facts
3
Change events
0
Artifacts
0
Freshness
May 31, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
May 31, 2026
Vendor
Palveron
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Unpublished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 5/31/2026.
Setup snapshot
git clone https://github.com/palveron/adapter-crewai.gitSetup 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
Palveron
Protocol compatibility
OpenClaw
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
5
Snippets
0
Languages
python
bash
pip install palveron-crewai
python
from crewai import Agent, Task, Crew
from palveron_crewai import palveron_guardrail
# Create PALVERON guardrail
guardrail = palveron_guardrail(api_key="pv_live_xxx")
# Attach to any task
report_task = Task(
description="Write a customer analysis report",
expected_output="A report with customer insights",
agent=analyst_agent,
guardrail=guardrail, # ← PALVERON governance
guardrail_max_retries=2, # Retry if blocked
)python
from palveron_crewai import PalveronStepCallback
callback = PalveronStepCallback(api_key="pv_live_xxx")
crew = Crew(
agents=[researcher, writer],
tasks=[research_task, write_task],
step_callback=callback, # ← Every step governed
)
result = crew.kickoff(inputs={"topic": "AI Safety"})
# Governance summary
print(f"Checked: {callback.check_count}, Blocked: {callback.blocked_count}")
print(f"Traces: {callback.trace_ids}")python
from palveron_crewai import PalveronCrewGovernance
gov = PalveronCrewGovernance(api_key="pv_live_xxx")
task = Task(..., guardrail=gov.task_guardrail())
crew = Crew(..., step_callback=gov.step_callback())
result = crew.kickoff(inputs={...})
print(gov.summary()) # {"checks": 12, "blocked": 1, "trace_ids": [...]}python
guardrail = palveron_guardrail(
api_key="pv_live_xxx",
base_url="https://gateway.internal.corp:8080", # On-prem
fail_open=False, # Block on gateway errors (default)
metadata={"team": "ml"}, # Extra metadata on traces
)Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Palveron AI Governance adapter for CrewAI — task guardrails and audit trails palveron-crewai PALVERON AI Governance adapter for **CrewAI** — task guardrails, step callbacks, and audit trails for every crew execution. $1 $1 --- Add one guardrail function. Every task output gets checked against your $1 governance policies. PII is caught. Blocked outputs trigger retries. Everything gets an audit trail. Installation Quick Start: Task Guardrail If the agent's output contains PII, secrets, or viola
PALVERON AI Governance adapter for CrewAI — task guardrails, step callbacks, and audit trails for every crew execution.
Add one guardrail function. Every task output gets checked against your PALVERON governance policies. PII is caught. Blocked outputs trigger retries. Everything gets an audit trail.
pip install palveron-crewai
from crewai import Agent, Task, Crew
from palveron_crewai import palveron_guardrail
# Create PALVERON guardrail
guardrail = palveron_guardrail(api_key="pv_live_xxx")
# Attach to any task
report_task = Task(
description="Write a customer analysis report",
expected_output="A report with customer insights",
agent=analyst_agent,
guardrail=guardrail, # ← PALVERON governance
guardrail_max_retries=2, # Retry if blocked
)
If the agent's output contains PII, secrets, or violates your policies, CrewAI automatically retries the task with PALVERON feedback.
from palveron_crewai import PalveronStepCallback
callback = PalveronStepCallback(api_key="pv_live_xxx")
crew = Crew(
agents=[researcher, writer],
tasks=[research_task, write_task],
step_callback=callback, # ← Every step governed
)
result = crew.kickoff(inputs={"topic": "AI Safety"})
# Governance summary
print(f"Checked: {callback.check_count}, Blocked: {callback.blocked_count}")
print(f"Traces: {callback.trace_ids}")
from palveron_crewai import PalveronCrewGovernance
gov = PalveronCrewGovernance(api_key="pv_live_xxx")
task = Task(..., guardrail=gov.task_guardrail())
crew = Crew(..., step_callback=gov.step_callback())
result = crew.kickoff(inputs={...})
print(gov.summary()) # {"checks": 12, "blocked": 1, "trace_ids": [...]}
guardrail = palveron_guardrail(
api_key="pv_live_xxx",
base_url="https://gateway.internal.corp:8080", # On-prem
fail_open=False, # Block on gateway errors (default)
metadata={"team": "ml"}, # Extra metadata on traces
)
| Decision | Guardrail Behavior |
|----------|-------------------|
| ALLOWED | (True, output) — task proceeds |
| MODIFIED | (True, sanitized_output) — proceeds with PII redacted |
| BLOCKED | (False, feedback) — CrewAI retries with PALVERON feedback |
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/crewai-palveron-adapter-crewai/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/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.
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Rank
65
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Traction
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Traction
No public download signal
Freshness
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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/crewai-palveron-adapter-crewai/snapshot",
"contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/contract",
"trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/trust"
},
"curlExamples": [
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/snapshot\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/contract\"",
"curl -s \"https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-10-08T22:21:04.393Z"
}
},
"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": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
},
{
"key": "crewai",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
},
{
"key": "multi-agent",
"type": "capability",
"support": "supported",
"confidenceSource": "profile",
"notes": "Declared in agent profile metadata"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}Facts JSON
[
{
"factKey": "vendor",
"label": "Vendor",
"value": "Palveron",
"category": "vendor",
"href": "https://github.com/palveron/adapter-crewai",
"sourceUrl": "https://github.com/palveron/adapter-crewai",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:13.561Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "protocols",
"label": "Protocol compatibility",
"value": "OpenClaw",
"category": "compatibility",
"href": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-05-31T06:18:13.561Z",
"isPublic": true,
"metadata": {}
},
{
"factKey": "handshake_status",
"label": "Handshake status",
"value": "UNKNOWN",
"category": "security",
"href": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-palveron-adapter-crewai/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true,
"metadata": {}
}
]Change Events JSON
[]
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