AI Writing Quality Check

Available ActionsEach successful request consumes credits as outlined below.

check_for_banned_phrases^5cr

Details

Catch banned phrases, risky claims, and overused AI clichés in draft copy before you ship it — built for iterative rewrite loops inside AI content workflows. Point this tool at a headline, CTA, social post, email, landing page, or long-form blog and get back field-level correction targets: the exact matched phrase, its character index, surrounding context, and the reason it was flagged. Agents can take those corrections, rewrite inline, and re-run the check until the copy passes — no vague "improve this" feedback, no guessing. Ideal for marketing ops, content teams, SEO writers, brand compliance reviewers, and any AI copywriting pipeline that needs a deterministic, repeatable quality gate. Enforces your organization's banned-phrase list (from the Apoth3osis ERP) consistently across every draft, every channel, every time.

Use Cases

Pre-publish quality checks for marketing copy, Headline and CTA rewrite loops, Social post phrase compliance checks, Blog and article draft quality gating, Email subject line banned-phrase screening, Landing page hero copy sanity checks, Product description compliance review, Ad copy phrase-list enforcement, Brand voice guardrails for AI copywriters, Automated copy review inside multi-step agent workflows, SEO draft cleanup before publishing, AI cliché detection in long-form content, Field-level correction feedback for content editors, Consistent enforcement of organization-wide banned-phrase policy, Repeatable copy quality gates in content approval workflows

Connect Your Agent In 5 Min

Watch the setup guide for your platform

Or Install Locally

STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections. This lightweight connector routes requests to https://api.agentpmt.com/mcp. All tool execution happens in the cloud and the server cannot edit any files on your computer.

npm install -g @agentpmt/mcp-routeragentpmt-setup

curl -X POST "https://api.agentpmt.com/products/purchase" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ********" \
  -d '{
    "product_id": "69e99f72157ecd9aa94a1c92",
    "parameters": {
      "action": "check_for_banned_phrases",
      "content": "example_content"
    }
  }'

import requests
import json

url = "https://api.agentpmt.com/products/purchase"

headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer ********"
}

data = {
    "product_id": "69e99f72157ecd9aa94a1c92",
    "parameters": {
        "action": "check_for_banned_phrases",
        "content": "example_content"
    }
}

response = requests.post(url, headers=headers, json=data)
print(response.status_code)
print(response.json())

const url = "https://api.agentpmt.com/products/purchase";

const headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer ********"
};

const data = {
  product_id: "69e99f72157ecd9aa94a1c92",
  parameters: {
    "action": "check_for_banned_phrases",
    "content": "example_content"
  }
};

fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify(data)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

const axios = require('axios');

const url = "https://api.agentpmt.com/products/purchase";

const headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer ********"
};

const data = {
  product_id: "69e99f72157ecd9aa94a1c92",
  parameters: {
    "action": "check_for_banned_phrases",
    "content": "example_content"
  }
};

axios.post(url, data, { headers })
  .then(response => {
    console.log(response.status);
    console.log(response.data);
  })
  .catch(error => {
    console.error("Error:", error.message);
  });

Login to view your API and budget keys. The example above uses placeholder values. Sign in to see personalized code with your bearer token.

This tool supports credit-based access for external agents using AgentAddress identities or standard crypto wallets. External agents should use the External Agent API to buy credits with x402 and invoke this tool.

1. Buy Credits

Purchase credits via x402 payment (500 credit minimum, 100 credits = $1).

# Request payment requirements (returns 402 + PAYMENT-REQUIRED header)
curl -i -s -X POST "https://www.agentpmt.com/api/external/credits/purchase" \
  -H "Content-Type: application/json" \
  -d '{ "wallet_address":"0xYOUR_WALLET", "credits": 500, "payment_method":"x402" }'

# Sign the EIP-3009 authorization, then retry with signature header
curl -s -X POST "https://www.agentpmt.com/api/external/credits/purchase" \
  -H "Content-Type: application/json" \
  -H "PAYMENT-SIGNATURE: <base64-json>" \
  -d '{ "wallet_address":"0xYOUR_WALLET", "credits": 500, "payment_method":"x402" }'

2. Create a Session Nonce (nonce used in signed balance/invoke)

curl -s -X POST "https://www.agentpmt.com/api/external/auth/session" \
  -H "Content-Type: application/json" \
  -d '{ "wallet_address":"0xYOUR_WALLET" }'

3. Invoke This Tool

Sign the message with your wallet (EIP-191 personal-sign), then POST to the invoke endpoint.

# Sign this message (wallet MUST be lowercased):
# agentpmt-external
# wallet:0xyourwallet...
# session:<session_nonce>
# request:<request_id>
# action:invoke
# product:69e99f72157ecd9aa94a1c92
# payload:<sha256(canonical_json(parameters))>

curl -s -X POST "https://www.agentpmt.com/api/external/tools/69e99f72157ecd9aa94a1c92/invoke" \
  -H "Content-Type: application/json" \
  -d '{
    "wallet_address": "0xYOUR_WALLET",
    "session_nonce": "<session_nonce>",
    "request_id": "invoke-uuid",
    "signature": "0x<signature>",
    "parameters": {
      "action": "your_action",
      "your_param": "value"
    }
  }'

Usage Instructions

Usage guidance provided directly by the developer for this product.

AI Writing Quality Check

Name: AI Writing Quality Check
Brand: Apoth3osis
SKU: 69e99f72157ecd9aa94a1c92
Price: 0.05 USD
Availability: InStock

Use this tool to scan writing and return exact correction targets for rewrite loops.

Actions

get_instructions

Returns this documentation.

check_for_banned_phrases

Checks content for banned phrases and returns normalized correction guidance.

Parameters:

content (required): writing content to check.

Example

{
  "action": "check_for_banned_phrases",
  "content": "Our customers love us. Ask our AI."
}

Rewrite Loop

Run check_for_banned_phrases with content.
If passed is true, publish.
If passed is false, rewrite each entry in corrections.
Run check_for_banned_phrases again until passed is true.

About this Product

About The Developer

Apoth3osis

★6 stars

Joined Agent Payment: August 14, 2025

We build tools that enable AI agents to excel in the mathematical realm.

Our small team develops experimental and unique solutions in the AI arena, with a strong focus on modular computing for agentic applications and custom model deployment. We have handled projects for a variety of applications across many sectors, from algorithmic trading and financial analysis, to molecular simulations and predictions, to habitat and biodiversity monitoring and wildlife conservation.

AI Writing Quality Check

Description