# AI Tool Listing Readiness Auditor (`pbt-guard/ai-tool-listing-readiness-auditor`) Actor Audit public marketplace copy for AI tools, MCP servers, browser extensions, Apify Actors, and launch assets. Produces one compact readiness report with score, risk level, blockers, warnings, and recommendations. - **URL**: https://apify.com/pbt-guard/ai-tool-listing-readiness-auditor.md - **Developed by:** [PBT Guard](https://apify.com/pbt-guard) (community) - **Features:** Limited permissions - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $500.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## AI Tool Listing Readiness Auditor Audit public-safe marketplace copy for AI tools, MCP servers, browser extensions, Apify Actors, skills, and launch assets before publishing. This Actor produces a compact readiness report for founders, developers, and marketplace operators. It checks whether a listing explains the product clearly, avoids unsupported claims, includes basic support and pricing context, shows public evidence, and does not expose secrets, customer data, private dashboards, confidential source code, or unpublished implementation details. ### What it checks - Product name, target marketplace, title, and tagline clarity - Description length, specificity, and user value - Pricing explanation and support path - Evidence for public claims and launch readiness - Limitations, non-guarantee wording, and data-handling clarity - Risky terms such as guaranteed approval, guaranteed revenue, bypass, evasion, or hacking claims - Public-safety blockers including API keys, bearer tokens, cookies, private keys, credentials, webhooks, private dashboards, customer personal data, and confidential implementation details ### Typical use cases - Review an AI tool listing before publishing - Check an MCP marketplace listing for missing evidence or support text - Audit a browser extension, skill, SaaS tool, or Apify Actor listing before launch - Produce a lightweight go/no-go readiness report for a release checklist - Detect public-copy risks before sharing product material with users, partners, or marketplace reviewers ### Input Provide only public-safe text: - productName - targetMarketplace - title - tagline - description - pricingText - supportText - evidenceText - limitationsText - dataHandlingText Do not paste passwords, API keys, tokens, cookies, private dashboard exports, customer personal data, confidential source code, private endpoints, deployment secrets, internal runbooks, or unpublished implementation details. ### Output The Actor writes one JSON item to the default dataset. The result includes: - status - productName - targetMarketplace - score - riskLevel - verdict - summary - blockingIssues - warnings - recommendations - checks - inputPolicy - auditVersion ### Scoring model The score starts at 100 and is reduced for missing or weak listing elements, unsupported claims, unclear pricing or support, missing evidence, missing limitations, and public-safety risks. A detected secret, credential, private key, private dashboard excerpt, customer data, or confidential implementation detail blocks the listing until removed. ### Default daily test readiness The default input is synthetic and public-safe. It is designed to finish quickly and produce one non-empty dataset item, so Apify's automatic Store test can verify the Actor without scraping, proxies, browser automation, credentials, or paid external resources. ### What this Actor does not do This Actor does not scrape websites, use proxies, open browsers, collect credentials, access private dashboards, bypass platform controls, guarantee marketplace approval, provide legal advice, provide compliance certification, or guarantee revenue. ### Privacy and safety Use only public-safe listing copy. The Actor is a launch-readiness and public-copy risk checklist, not a legal, financial, security, compliance, or marketplace-approval determination. It is intentionally capability-level and does not require private source code, credentials, customer data, internal policies, or production runbooks. # Actor input Schema ## `productName` (type: `string`): Name of the product, Actor, MCP server, skill, extension, or tool being reviewed. ## `targetMarketplace` (type: `string`): Marketplace or launch channel being prepared. ## `title` (type: `string`): Proposed public listing title. ## `tagline` (type: `string`): Short public tagline to evaluate. ## `description` (type: `string`): Public listing description to audit. ## `pricingText` (type: `string`): Optional pricing explanation to audit. ## `supportText` (type: `string`): Optional support, disclaimer, or maintenance note. ## `evidenceText` (type: `string`): Optional public evidence notes such as build status, test status, examples, or non-sensitive validation results. ## `limitationsText` (type: `string`): Optional public limitations and non-guarantee statement. ## `dataHandlingText` (type: `string`): Optional public-safe data handling note. Do not paste private policies or internal runbooks. ## Actor input object example ```json { "productName": "AI Tool Listing Readiness Auditor", "targetMarketplace": "Apify Store", "title": "AI Tool Listing Readiness Auditor", "tagline": "Public-safe launch checklist for AI tools and marketplace listings.", "description": "This Actor reviews public-safe marketplace listing copy and returns a compact readiness report. It checks whether the listing has a clear title, useful tagline, sufficient description, pricing explanation, support note, evidence note, clear limitations, and avoids unsupported claims or private data exposure.", "pricingText": "Pay-per-result pricing. Each completed audit produces one default dataset item.", "supportText": "Support is provided through the Actor issue tab. This tool does not guarantee approval, legal compliance, marketplace acceptance, or revenue.", "evidenceText": "Synthetic default input validates the Actor. No scraping, proxy, browser automation, credentials, or private dashboard access is used.", "limitationsText": "This is a launch-readiness checklist and copy-risk audit, not legal, financial, compliance, security, or marketplace-approval advice.", "dataHandlingText": "Use only public-safe listing copy. Do not paste secrets, customer data, private dashboards, confidential code, or unpublished implementation details." } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "productName": "AI Tool Listing Readiness Auditor", "targetMarketplace": "Apify Store", "title": "AI Tool Listing Readiness Auditor", "tagline": "Public-safe launch checklist for AI tools and marketplace listings.", "description": "This Actor reviews public-safe marketplace listing copy and returns a compact readiness report. It checks whether the listing has a clear title, useful tagline, sufficient description, pricing explanation, support note, evidence note, clear limitations, and avoids unsupported claims or private data exposure.", "pricingText": "Pay-per-result pricing. Each completed audit produces one default dataset item.", "supportText": "Support is provided through the Actor issue tab. This tool does not guarantee approval, legal compliance, marketplace acceptance, or revenue.", "evidenceText": "Synthetic default input validates the Actor. No scraping, proxy, browser automation, credentials, or private dashboard access is used.", "limitationsText": "This is a launch-readiness checklist and copy-risk audit, not legal, financial, compliance, security, or marketplace-approval advice.", "dataHandlingText": "Use only public-safe listing copy. Do not paste secrets, customer data, private dashboards, confidential code, or unpublished implementation details." }; // Run the Actor and wait for it to finish const run = await client.actor("pbt-guard/ai-tool-listing-readiness-auditor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "productName": "AI Tool Listing Readiness Auditor", "targetMarketplace": "Apify Store", "title": "AI Tool Listing Readiness Auditor", "tagline": "Public-safe launch checklist for AI tools and marketplace listings.", "description": "This Actor reviews public-safe marketplace listing copy and returns a compact readiness report. It checks whether the listing has a clear title, useful tagline, sufficient description, pricing explanation, support note, evidence note, clear limitations, and avoids unsupported claims or private data exposure.", "pricingText": "Pay-per-result pricing. Each completed audit produces one default dataset item.", "supportText": "Support is provided through the Actor issue tab. This tool does not guarantee approval, legal compliance, marketplace acceptance, or revenue.", "evidenceText": "Synthetic default input validates the Actor. No scraping, proxy, browser automation, credentials, or private dashboard access is used.", "limitationsText": "This is a launch-readiness checklist and copy-risk audit, not legal, financial, compliance, security, or marketplace-approval advice.", "dataHandlingText": "Use only public-safe listing copy. Do not paste secrets, customer data, private dashboards, confidential code, or unpublished implementation details.", } # Run the Actor and wait for it to finish run = client.actor("pbt-guard/ai-tool-listing-readiness-auditor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "productName": "AI Tool Listing Readiness Auditor", "targetMarketplace": "Apify Store", "title": "AI Tool Listing Readiness Auditor", "tagline": "Public-safe launch checklist for AI tools and marketplace listings.", "description": "This Actor reviews public-safe marketplace listing copy and returns a compact readiness report. It checks whether the listing has a clear title, useful tagline, sufficient description, pricing explanation, support note, evidence note, clear limitations, and avoids unsupported claims or private data exposure.", "pricingText": "Pay-per-result pricing. Each completed audit produces one default dataset item.", "supportText": "Support is provided through the Actor issue tab. This tool does not guarantee approval, legal compliance, marketplace acceptance, or revenue.", "evidenceText": "Synthetic default input validates the Actor. No scraping, proxy, browser automation, credentials, or private dashboard access is used.", "limitationsText": "This is a launch-readiness checklist and copy-risk audit, not legal, financial, compliance, security, or marketplace-approval advice.", "dataHandlingText": "Use only public-safe listing copy. Do not paste secrets, customer data, private dashboards, confidential code, or unpublished implementation details." }' | apify call pbt-guard/ai-tool-listing-readiness-auditor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,pbt-guard/ai-tool-listing-readiness-auditor" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/QmwRdz3hcrd788fgP/builds/05b9KvGaeKSxe2Pp8/openapi.json