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60
A2A

Write multilingual weather articles with Open-Meteo, Claude, and OpenAI

n8n-workflow-21386.n8n.io · n8n.io

Quick overview This workflow runs weekly (or manually) to generate multilingual weather-news articles from Open-Meteo forecasts, uses Anthropic Claude for analysis, verification, writing, and QA, creates a matching header image via OpenAI, and uploads CMS-ready JSON and images to S3-compatible storage with Slack alerts and run monitoring. How it works 1. Runs on a weekly schedule (Monday 06:00) or manually to start an article-generation batch. 2. Builds a per-country workload (with cities, language, and locale) and loops through each selected country. 3. Fetches 3-day city forecasts from the Open-Meteo API and aggregates them into a compact, macro-area-based dataset. 4. Uses Anthropic Claude to write a structured meteorological summary and optionally cross-checks it against a secondary source URL, posting a Slack warning if that source is unavailable. 5. Computes deterministic “ground truth” per macro-area (including windiest/wettest/hottest records), then uses Claude to write a short

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Trust score
60/100
grade C · 2 of 9 criteria apply
Uptime
not graded
catalogue listing · no agent card to probe
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Listing drift · 7d
stable
1 snapshot tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

C
Conformance score: 60/100
Catalogue listing, not an A2A agent: a workflow template listed by n8n.io. Scored on the 2 criteria that apply (9 of 15 points, scaled to 100); the A2A card criteria do not apply.
click to expand breakdown click to collapse breakdown
n/a Agent card n/a
Not applicable: a workflow template listed by n8n.io. The host serves no A2A agent card at /.well-known/agent-card.json, so the card criteria are not scored.
n/a Live endpoint n/a
Not applicable: a workflow template you import, not a hosted endpoint.
n/a Protocol version n/a
Not applicable: no A2A agent card served.
n/a JWS signature n/a
Not applicable: no A2A agent card served.
n/a Uptime track record n/a
Not applicable: our probes looked for an A2A agent card, which this host does not serve. That says nothing about the API's availability, so it is not graded.
n/a Skill declaration n/a
Not applicable: no A2A agent card served.
partial Verified Identity 5/10
Provider declared: n8n.io (https://n8n.io). 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
n/a Security declaration n/a
Not applicable: no A2A agent card served.

Activity (audit trail)

last 24h · 0 invocations Public aggregate · no PII recorded

Nothing 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.

Listing history

1 snapshot Every change to the catalogue entry
Agent card snapshots
Captured Hash Snapshot
2026-10-23 07:58:50 current adf29fdb9416… view →
Uptime
not graded
catalogue listing · no agent card to probe
Response
—
no direct probe retained
Skills
0
declared
Streaming
—
SSE-capable

Endpoints

Agent cardhttps://n8n.io/workflows/21386
Providerhttps://n8n.io
Docshttps://n8n.io/workflows/21386
Discovered via
n8n_workflows

Health · last 0 probes

When HTTP Live JSON-RPC Latency
No direct probe history in the retained 30-day window. Upstream catalogue observations do not count as uptime probes.

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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
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      "username": "gabriele-foralosso",
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                },
                {
                  "url": "https://n8n.io/blog/world-poetry-day-workflow/",
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                },
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                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
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                },
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                },
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                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
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                },
                {
                  "url": "https://n8n.io/blog/how-to-build-a-low-code-self-hosted-url-shortener/",
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                },
                {
                  "url": "https://n8n.io/blog/automate-your-data-processing-pipeline-in-9-steps-with-n8n/",
                  "icon": "\u2699\ufe0f",
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                },
                {
                  "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
                  "icon": "\ud83d\udc65",
                  "label": "How to get started with CRM automation (with 3 no-code workflow ideas"
                },
                {
                  "url": "https://n8n.io/blog/5-tasks-you-can-automate-with-notion-api/",
                  "icon": "\u26a1\ufe0f",
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                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "\ud83d\udca1",
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                },
                {
                  "url": "https://n8n.io/blog/automation-for-maintainers-of-open-source-projects/",
                  "icon": "\ud83c\udff7\ufe0f",
                  "label": "How to automatically manage contributions to open-source projects"
                },
                {
                  "url": "https://n8n.io/blog/how-uproc-scraped-a-multi-page-website-with-a-low-code-workflow/",
                  "icon": " \ud83d\udd78\ufe0f",
                  "label": "How uProc scraped a multi-page website with a low-code workflow"
                },
                {
                  "url": "https://n8n.io/blog/5-workflow-automations-for-mattermost-that-we-love-at-n8n/",
                  "icon": "\ud83e\udd16",
                  "label": "5 workflow automations for Mattermost that we love at n8n"
                },
                {
                  "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/",
                  "icon": "\ud83e\udde0",
                  "label": "Why this Product Manager loves workflow automation with n8n"
                },
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                  "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/",
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            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 838,
        "icon": "fa:mouse-pointer",
        "name": "n8n-nodes-base.manualTrigger",
        "codex": {
          "data": {
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.manualworkflowtrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "When clicking \u2018Execute workflow\u2019",
          "color": "#909298"
        },
        "iconData": {
          "icon": "mouse-pointer",
          "type": "icon"
        },
        "displayName": "Manual Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 839,
        "icon": "fa:clock",
        "name": "n8n-nodes-base.scheduleTrigger",
        "codex": {
          "data": {
            "alias": [
              "Time",
              "Scheduler",
              "Polling",
              "Cron",
              "Interval"
            ],
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\",\"schedule\"]",
        "defaults": {
          "name": "Schedule Trigger",
          "color": "#31C49F"
        },
        "iconData": {
          "icon": "clock",
          "type": "icon"
        },
        "displayName": "Schedule Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1123,
        "icon": "fa:link",
        "name": "@n8n/n8n-nodes-langchain.chainLlm",
        "codex": {
          "data": {
            "alias": [
              "LangChain"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Chains",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Basic LLM Chain",
          "color": "#909298"
        },
        "iconData": {
          "icon": "link",
          "type": "icon"
        },
        "displayName": "Basic LLM Chain",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1145,
        "icon": "file:anthropic.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
        "codex": {
          "data": {
            "alias": [
              "claude",
              "sonnet",
              "opus"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatanthropic/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Anthropic Chat Model"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI0NiIgaGVpZ2h0PSIzMiIgZmlsbD0ibm9uZSI+PHBhdGggZmlsbD0iIzdEN0Q4NyIgZD0iTTMyLjczIDBoLTYuOTQ1TDM4LjQ1IDMyaDYuOTQ1ek0xMi42NjUgMCAwIDMyaDcuMDgybDIuNTktNi43MmgxMy4yNWwyLjU5IDYuNzJoNy4wODJMMTkuOTI5IDB6bS0uNzAyIDE5LjMzNyA0LjMzNC0xMS4yNDYgNC4zMzQgMTEuMjQ2eiIvPjwvc3ZnPg=="
        },
        "displayName": "Anthropic Chat Model",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1179,
        "icon": "fa:code",
        "name": "@n8n/n8n-nodes-langchain.outputParserStructured",
        "codex": {
          "data": {
            "alias": [
              "json",
              "zod"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Output Parsers"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Structured Output Parser"
        },
        "iconData": {
          "icon": "code",
          "type": "icon"
        },
        "displayName": "Structured Output Parser",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1234,
        "icon": "file:convertToFile.svg",
        "name": "n8n-nodes-base.convertToFile",
        "codex": {
          "data": {
            "alias": [
              "CSV",
              "Spreadsheet",
              "Excel",
              "xls",
              "xlsx",
              "ods",
              "tabular",
              "encode",
              "encoding",
              "Move Binary Data",
              "Binary",
              "File",
              "JSON",
              "HTML",
              "ICS",
              "iCal",
              "RTF",
              "64",
              "Base64"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.converttofile/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Files",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Convert to File"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Convert to File",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1315,
        "icon": "fa:table",
        "name": "n8n-nodes-base.dataTable",
        "codex": {
          "data": {
            "alias": [
              "data",
              "table",
              "knowledge",
              "data table",
              "table",
              "sheet",
              "database",
              "data base",
              "mysql",
              "postgres",
              "postgresql",
              "airtable",
              "supabase",
              "noco",
              "notion"
            ],
            "details": "Data table",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.datatable/"
                }
              ]
            },
            "categories": [
              "Core Nodes",
              "Development"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\",\"transform\"]",
        "defaults": {
          "name": "Data table"
        },
        "iconData": {
          "icon": "table",
          "type": "icon"
        },
        "displayName": "Data table",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      }
    ]
  },
  "detail": {
    "description": "Quick overview This workflow runs weekly (or manually) to generate multilingual weather-news articles from Open-Meteo forecasts, uses Anthropic Claude for analysis, verification, writing, and QA, creates a matching header image via OpenAI, and uploads CMS-ready JSON and images to S3-compatible storage with Slack alerts and run monitoring. How it works 1. Runs on a weekly schedule (Monday 06:00) or manually to start an article-generation batch. 2. Builds a per-country workload (with cities, language, and locale) and loops through each selected country. 3. Fetches 3-day city forecasts from the Open-Meteo API and aggregates them into a compact, macro-area-based dataset. 4. Uses Anthropic Claude to write a structured meteorological summary and optionally cross-checks it against a secondary source URL, posting a Slack warning if that source is unavailable. 5. Computes deterministic \u201cground truth\u201d per macro-area (including windiest/wettest/hottest records), then uses Claude to write a short HTML article and extract the final HTML and title. 6. Uses Claude to QA the article against the ground truth and verification report, rewrites and re-checks once on failures, then applies deterministic guardrails to flag warning-related wording or banned terms. 7. Generates a calibrated image scene with Claude, creates a header image via the OpenAI Images API (or falls back to a predefined image), then uploads the image and a CMS-agnostic article JSON payload to S3. 8. Logs a run summary to an n8n Data Table and uses a separate scheduled watchdog plus Slack notifications to alert on workflow failures or missing scheduled runs. Setup 1. Add Anthropic credentials for the Claude steps and OpenAI API credentials for image generation. 2. Add an S3-compatible credential (AWS S3, Cloudflare R2, MinIO, etc.) and set the target bucket name and prefix in the Config values. 3. Add a Slack credential and select the channel for the \u201cSource Unavailable\u201d, \u201cError Alert\u201d, and \u201cRun Missing Alert\u201d Slack messages. 4. Create an n8n Data Table named articleruns with columns runDate, countriesProcessed, countries, completedAt, and mode (all text) for run logging and watchdog checks. 5. Update the Config values (brand name, countries to run, fallback image URL, optional house rules and banned terms) and, if needed, edit the country/city list and optional secondarySourceUrl entries."
  }
}