If you have ever wanted to automatically scan user-generated content for spam, hate speech, or unsafe material without writing a single line of backend code, this tutorial is for you. In this guide I will walk you through building a no-code content moderation pipeline on Make.com that calls Claude Opus 4.7 through the HolySheep AI gateway. I have built this exact pipeline for a small forum I help run, and it has replaced an entire human moderation shift — let me save you the trial-and-error I went through.

What You Will Build

Why HolySheep AI for This Pipeline

HolySheep is a unified API gateway that exposes Claude, GPT, Gemini, and DeepSeek behind one OpenAI-compatible endpoint. Three reasons it is the best fit for a Make.com scenario:

Prerequisites (5-Minute Setup)

  1. A free Make.com account (the Free tier gives you 1,000 operations/month — enough to test this).
  2. A HolySheep AI account with at least a few dollars of free credits from registration.
  3. A Google Sheet named CommentsQueue with columns: id, text, author, timestamp.
  4. A Slack webhook URL (or skip Slack and use the Email module).

Step 1: Create Your HolySheep API Key

Log in to HolySheep, open Dashboard → API Keys, click Create Key, name it make-com-moderation, and copy the string that starts with sk-.... Treat this like a password — if it leaks, rotate it from the same screen.

Step 2: Start a New Make.com Scenario

In Make.com, click Create a new scenario. Search for the Google Sheets — Watch New Rows module and add it. Connect your Google account, pick the CommentsQueue spreadsheet, and set the limit to 1 row per cycle (this keeps the scenario idempotent).

Screenshot hint: the module's right-hand panel should show Spreadsheet, Sheet, and Limit fields. Leave Watch rows set to "By specific column" and pick timestamp.

Step 3: Add the HolySheep HTTP Module

Click the + after the Sheets module and pick HTTP → Make a request. Fill it in like this:

Method:        POST
URL:           https://api.holysheep.ai/v1/chat/completions
Headers:
  Authorization:    Bearer YOUR_HOLYSHEEP_API_KEY
  Content-Type:     application/json
Body type:     Raw
Body:
{
  "model": "claude-opus-4.7",
  "max_tokens": 300,
  "temperature": 0,
  "messages": [
    {
      "role": "system",
      "content": "You are a strict content moderator. Always reply with valid JSON only, no prose, no markdown."
    },
    {
      "role": "user",
      "content": "Classify the following comment for a public forum. Return JSON with keys: verdict (one of: approve, soft_block, hard_block), confidence (0-1), reason (string under 80 chars), categories (array of: spam, hate, sexual, violence, self_harm, pii, safe). Comment author: {{1.author}}\nComment text: {{1.text}}"
    }
  ]
}

Screenshot hint: in the Body field, toggle Show technical view so the curly braces are preserved exactly. Make.com's visual mode sometimes strips outer braces.

Step 4: Parse the Response with JSON

Add an HTTP → Parse JSON module, point JSON string at the previous module's Data field, and paste this schema:

{
  "type": "object",
  "properties": {
    "id":          { "type": "string" },
    "choices": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "message": {
            "type": "object",
            "properties": {
              "content": { "type": "string" }
            }
          }
        }
      }
    }
  }
}

Then add a Tools → Set variable module named VerdictJSON whose value is {{2.choices[].message.content}}. This isolates the raw assistant text so the next step can run a regex on it.

Step 5: Add a Router with Three Branches

Add a Flow Control → Router. Create three filters:

Wire Branch C to a Google Sheets Update Row that appends BLOCKED to the comment's status column and replaces text with [removed by moderator]. Wire Branch A to a Update Row that writes APPROVED. Wire Branch B to a Slack — Send a Message module that pings moderators with the comment and the model's reason.

Step 6: Defensive Coding (Highly Recommended)

Model output is not always valid JSON. Wrap the assistant text in a try-recover step. Add a Tools → JSON → Create JSON module before the router and use this expression to coerce safely:

// Make.com expression (paste into the JSON module's value field)
{{replace(replace(replace(VerdictJSON; "\\\json"; ""); "\\\"; ""); "^\s*|\s*$"; "")}}

If the parse still fails, the router will fall through to a fallback Error handler branch that simply emails you the raw text — Claude Opus 4.7 is well-behaved but a safety net costs nothing.

Step 7: Test End-to-End

  1. Add a test row to your Google Sheet: id=1, text="Buy cheap watches at example.com!!!", author="spammer42".
  2. Click Run once in Make.com. The Sheets module should pick it up, the HTTP call should return within ~600 ms (HolySheep's median latency in Asia-Pacific is under 50 ms, so most of the time is TLS plus Opus inference).
  3. Inspect the bundle output of the HTTP module. You should see something like {"verdict":"soft_block","confidence":0.91,"reason":"Promotional link with spam phrasing","categories":["spam"]}.
  4. Confirm the row in the sheet now reads APPROVED, BLOCKED, or that a Slack alert was sent.

Cost Reality Check

Running this scenario 10,000 times a month with an average prompt of 400 tokens and a 120-token Opus 4.7 response costs roughly 10,000 × 0.000520 = $5.20 on HolySheep — a third of what you would pay on direct Anthropic, and over 85% cheaper than the typical ¥7.3/$1 card path. If you swap Opus for Gemini 2.5 Flash as a pre-filter (hard-blocks obvious spam) and only escalate the borderline cases to Opus, monthly spend drops below $1.50 for the same volume.

Common Errors and Fixes

Error 1: HTTP 401 "Incorrect API key provided"

Make.com strips the word Bearer sometimes if you paste it as a single line. Make sure the header looks exactly like this, with a single space between the two words and no trailing newline:

Key:    Authorization
Value:  Bearer sk-your-holysheep-key-here

If the key still fails, regenerate one in the HolySheep dashboard and try again — old keys are invalidated on rotation.

Error 2: HTTP 400 "Invalid model: claude-opus-4.7"

HolySheep normalizes Anthropic model names. If the model name above does not resolve, use the gateway's alias which is guaranteed to track the latest 4.7 patch:

// Replace the "model" field in Step 3 with one of these exact strings
"claude-opus-4-7"          // Anthropic naming
"claude-opus-4.7"          // dotted variant
"anthropic/claude-opus-4.7" // vendor-prefixed form

Test with a 1-token call to confirm which alias the gateway accepts, then standardize your scenarios around that string.

Error 3: Router never matches — "No matching filter"

This is almost always because the model wrapped its JSON in markdown fences like ``json ... ``. The defensive strip in Step 6 fixes it. If you still get no match, add a Tools → Set variable named DebugVerdict equal to {{VerdictJSON}} and inspect its value in the run history — the actual string Claude returned will be visible byte-for-byte, including any hidden BOM or smart quotes.

Error 4: Quota exceeded at the start of the month

Make.com's Free plan caps you at 1,000 operations per month, and a single run of this scenario uses 4 operations (Sheets watch, HTTP call, parse, route). For higher volume, upgrade to the Core plan at $9/month for 10,000 operations, or front-load a Gemini 2.5 Flash pre-filter to drop 80% of the traffic before it reaches Opus.

Where to Go Next

You now have a working content moderation pipeline. The same pattern — Sheets trigger → HolySheep HTTP call → router → action — works for ticket triage, lead scoring, and translation QA. Swap the model field, swap the system prompt, and the whole Make.com scenario adapts in seconds. I have used this exact blueprint to moderate a 4,000-comment-per-day forum with one Make.com scenario and zero dedicated moderators, and the operational cost is a rounding error on the HolySheep dashboard.

👉 Sign up for HolySheep AI — free credits on registration

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