Xpersona

Crawler Summary

maritime-ai-compliance-pipeline answer-first brief

Automated Maritime Compliance Pipeline using CrewAI, Ollama (Phi-3), and SQL for EU ETS reporting. **Agentic AI Maritime Compliance Pipeline** πŸš’πŸ€– πŸ“Œ Project Overview This project automates EU ETS (Emission Trading System) compliance verification for maritime fleets. It features a privacy-first, local LLM architecture to process vessel data, migrate it to a structured SQL database, and generate regulatory reports using autonomous AI agents. πŸ› οΈ The Tech Stack β€’ AI Framework: CrewAI (Multi-Agent System) β€’ Local LL Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Freshness

Last checked 5/31/2026

Best For

maritime-ai-compliance-pipeline 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 66/100

maritime-ai-compliance-pipeline

Automated Maritime Compliance Pipeline using CrewAI, Ollama (Phi-3), and SQL for EU ETS reporting. **Agentic AI Maritime Compliance Pipeline** πŸš’πŸ€– πŸ“Œ Project Overview This project automates EU ETS (Emission Trading System) compliance verification for maritime fleets. It features a privacy-first, local LLM architecture to process vessel data, migrate it to a structured SQL database, and generate regulatory reports using autonomous AI agents. πŸ› οΈ The Tech Stack β€’ AI Framework: CrewAI (Multi-Agent System) β€’ Local LL

OpenClawself-declared

Public facts

3

Change events

0

Artifacts

0

Freshness

May 31, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

May 31, 2026

Vendor

Akashhanc031 Dotcom

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 5/31/2026.

View Source

Setup snapshot

git clone https://github.com/akashhanc031-dotcom/maritime-ai-compliance-pipeline.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    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.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Akashhanc031 Dotcom

profilemedium
Observed May 31, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed May 31, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

0

Snippets

0

Languages

python

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Automated Maritime Compliance Pipeline using CrewAI, Ollama (Phi-3), and SQL for EU ETS reporting. **Agentic AI Maritime Compliance Pipeline** πŸš’πŸ€– πŸ“Œ Project Overview This project automates EU ETS (Emission Trading System) compliance verification for maritime fleets. It features a privacy-first, local LLM architecture to process vessel data, migrate it to a structured SQL database, and generate regulatory reports using autonomous AI agents. πŸ› οΈ The Tech Stack β€’ AI Framework: CrewAI (Multi-Agent System) β€’ Local LL

Full README

Agentic AI Maritime Compliance Pipeline πŸš’πŸ€–

πŸ“Œ Project Overview

This project automates EU ETS (Emission Trading System) compliance verification for maritime fleets. It features a privacy-first, local LLM architecture to process vessel data, migrate it to a structured SQL database, and generate regulatory reports using autonomous AI agents.

πŸ› οΈ The Tech Stack

β€’ AI Framework: CrewAI (Multi-Agent System)

β€’ Local LLM: Ollama / Phi-3 (Ensuring 100% data privacy)

β€’ Database: SQLite / SQL Migration

β€’ Language: Python (Pandas, SQL Integration)

🧠 Agentic Architecture

I designed a Dual-Agent Workflow to mimic a real-world regulatory audit:

  1. Maritime Data Verifier: Evaluates vessel eligibility based on the 5000 GT threshold and EU MRV laws.

  2. Carbon Emissions Analyst: Performs complex math to calculate the 40% carbon phase-in for 2024 using standard emission factors.

πŸ“‚ Repository Structure

πŸ“‚ data/: Contains raw fleet data (.csv) and the processed SQLite database (.db).

πŸ“‚ scripts/: Core Python logic including database setup and the Agentic AI pipeline.

πŸ“‚ reports/: Sample compliance reports generated automatically by the AI agents.

πŸš€ Key Highlights

β€’ Privacy-First: Processed sensitive maritime data locally using Ollama, ensuring zero data leakage.

β€’ Automation: Replaced manual SQL entry with an automated Python-to-SQLite migration pipeline.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

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

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
Github OpenclewUpdated 4mo agoRank 65

@x1pay/langchain

LangChain/LangGraph tools for AI agent x402 payments on X1

OPENCLAW
Github OpenclewUpdated 4mo agoRank 65

oceanbus-langchain

LangChain tools for OceanBus β€” give your LangChain and CrewAI agents a global identity, encrypted messaging, and Yellow Pages service discovery with a single import.

OPENCLAWoceanbuslangchainlangchain-tools
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

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-akashhanc031-dotcom-maritime-ai-compliance-pipeline/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-08T23:20:52.003Z"
    }
  },
  "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": "Akashhanc031 Dotcom",
    "category": "vendor",
    "href": "https://github.com/akashhanc031-dotcom/maritime-ai-compliance-pipeline",
    "sourceUrl": "https://github.com/akashhanc031-dotcom/maritime-ai-compliance-pipeline",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:33.318Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-05-31T06:18:33.318Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-akashhanc031-dotcom-maritime-ai-compliance-pipeline/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

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