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60
A2A

Send daily daycare menu, schedule, and weather briefings with Gemini and WhatsApp

n8n-workflow-19904.n8n.io · n8n.io

Quick overview This workflow runs every morning to fetch a daycare menu from a webpage, read your family schedule from Google Sheets, and pull a local forecast from Open-Meteo, then uses Google Gemini to reliably extract today’s meals and sends a single WhatsApp briefing via CallMeBot. How it works 1. Runs every day at 07:00 and calculates today’s date in your configured timezone, stopping if a message was already successfully sent for the same date. 2. On weekdays, downloads the daycare menu webpage, extracts the text around today’s date, and asks Google Gemini to return today’s meals as strict JSON. 3. Verifies Gemini’s response by checking that the quoted “date text seen” exists in the page content, and falls back to reporting the menu as unavailable if verification fails. 4. Reads recurring and date-specific schedule items from a Google Sheets tab named schedule and selects the items that match today. 5. Requests an hourly forecast for your coordinates from Open-Meteo and converts

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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
0 snapshots 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.

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/19904
Providerhttps://n8n.io
Docshttps://n8n.io/workflows/19904
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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    "recentViews": 3,
    "createdAt": "2026-09-24T11:50:18.109Z",
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      "username": "lalkrishna",
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    "readyToDemo": null,
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            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
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        "group": "[\"output\"]",
        "defaults": {
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          "color": "#0004F5"
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                  "icon": "\ud83e\udd2c",
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                },
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        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "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": 1262,
        "icon": "file:google.svg",
        "name": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgooglegemini/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Language Models",
                "Root Nodes"
              ],
              "Language Models": [
                "Chat Models (Recommended)"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Google Gemini Chat Model"
        },
        "iconData": {
          "type": "file",
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        },
        "displayName": "Google Gemini Chat Model",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ]
  },
  "detail": {
    "description": "Quick overview This workflow runs every morning to fetch a daycare menu from a webpage, read your family schedule from Google Sheets, and pull a local forecast from Open-Meteo, then uses Google Gemini to reliably extract today\u2019s meals and sends a single WhatsApp briefing via CallMeBot. How it works 1. Runs every day at 07:00 and calculates today\u2019s date in your configured timezone, stopping if a message was already successfully sent for the same date. 2. On weekdays, downloads the daycare menu webpage, extracts the text around today\u2019s date, and asks Google Gemini to return today\u2019s meals as strict JSON. 3. Verifies Gemini\u2019s response by checking that the quoted \u201cdate text seen\u201d exists in the page content, and falls back to reporting the menu as unavailable if verification fails. 4. Reads recurring and date-specific schedule items from a Google Sheets tab named schedule and selects the items that match today. 5. Requests an hourly forecast for your coordinates from Open-Meteo and converts it into a deterministic weather summary and child-focused clothing advice. 6. Assembles a single morning briefing message (skipping school menu details on weekends) and sends it to your WhatsApp number via the CallMeBot WhatsApp API. 7. Marks today as sent only after the WhatsApp API response indicates delivery was queued/sent, so failures retry on the next run. Setup 1. Add credentials for Google Gemini (API key), Google Sheets (OAuth2), and an HTTP Query Auth credential for CallMeBot containing your WhatsApp API key. 2. Update the settings values for menuurl, timezone, latitude, longitude, whatsappphone, schedulesheeturl, and outputlanguage in the \u201cConfigure your settings\u201d step. 3. Create a Google Sheet with a schedule tab and columns date | weekday | title | details, using YYYY-MM-DD (plain text) for date-specific items and leaving date empty for weekly recurring items. 4. Register your WhatsApp number with CallMeBot to obtain an API key and ensure the target phone number is in international format. 5. Activate the workflow and confirm it runs at 07:00 server time (or adjust the cron expression if needed). Requirements - Google Gemini API key (free tier works) - Google account for the Sheets schedule - A WhatsApp number registered with CallMeBot (free for personal use) - A daycare or school menu page that is publicly viewable without login Customization - Replace the WhatsApp node with Telegram, Slack, Discord or Gmail - Change outputlanguage in the settings node to translate menus into any language - Adjust the clothing temperature bands or the 7:00-17:00 daytime window in the weather code node - Add recurring activities, trips or closures to the Google Sheet without touching the workflow - Change the send time in the schedule trigger Additional info The menu extraction is designed to never invent food. Gemini must quote the exact date text it found for today, and the workflow verifies that quote exists on the fetched page. If the page is down, has changed, or doesn't list today, the message says so instead of guessing. Duplicate protection uses workflow static data, which only persists for active (production) runs. Manual test runs will always send. Menus loaded by JavaScript after the page opens may not be readable by the HTTP node. Check that the menu text appears in the page source."
  }
}