# Customer Review Response & Risk Check (`westerly_palisade/review-ready-by-dravara`) Actor

Draft a grounded response to one customer review, or withhold it when serious-risk signals need human handling. It never posts, contacts the reviewer, admits liability, or invents a remedy.

- **URL**: https://apify.com/westerly\_palisade/review-ready-by-dravara.md
- **Developed by:** [Dravara LLC](https://apify.com/westerly_palisade) (community)
- **Categories:** AI, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / review response created

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Customer Review Response & Risk Check

Draft a grounded response to one customer review, or withhold it when serious-risk signals need human handling. It never posts, contacts the reviewer, admits liability, or invents a remedy.

### Capabilities and limits

Paste one customer review and supply the business name, rating, tone, and any verified resolution. ReviewReady returns a response draft, private internal summary, detected topics, offline-contact guidance, and an escalation assessment. It checks the supplied text for legal, safety, discrimination, payment, medical, employee, personal-information, violence, and self-harm concerns. Unsafe or unsupported public text is withheld. ReviewReady does not post, contact the reviewer, admit liability, or invent a refund, investigation, policy, promise, or completed action. Human review is required before posting. Model-backed requests use Dravara's configured OpenAI Responses API model with store set to false; applicable provider abuse-monitoring retention and Poe conversation retention may still apply. A validated ready-to-post response receives the approved Dravara creator charge. A withheld public response and a failed result do not receive the result charge. Correct validation errors before starting a new message. After a retryable failure, start one new message. If Poe's charge state is unclear, check its billing activity before retrying. Dravara keeps the exact paid result for replay for 365 days. After artifact deletion and final settlement, eligible operational identifiers are minimized; pseudonymous result-integrity, accounting, and settlement records remain under a separate recordkeeping period. The release verifies the approved Dravara creator charge and current Poe-displayed total in Rates before publication. Poe determines its separate platform component and may change the displayed total.

One run writes at most one result item. The Actor does not use Standby mode and does not perform actions outside the documented task.

Successful result event: `review-response-created` at $0.14.

Cost protection: model-backed requests accept at most 16 KiB of combined UTF-8 prompt and controls. Oversize requests do not call the model. See the live Pricing tab for current charges.

# Actor input Schema

## `review_text` (type: `string`):

One customer review, 1 to 10,000 characters.

## `business_name` (type: `string`):

Business whose response is being drafted.

## `rating` (type: `integer`):

Whole number from 1 to 5.

## `tone` (type: `string`):

warm, direct, formal, or brief.

## `known_resolution` (type: `string`):

Only resolution facts already verified by the business.

## `offline_contact_instruction` (type: `string`):

Contact wording approved for the public draft.

## Actor input object example

```json
{
  "review_text": "The team explained the delay clearly and fixed my order the same day.",
  "business_name": "Example Shop",
  "rating": 5,
  "tone": "warm",
  "known_resolution": "The order was corrected the same day."
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "review_text": "The team explained the delay clearly and fixed my order the same day.",
    "business_name": "Example Shop",
    "rating": 5,
    "tone": "warm",
    "known_resolution": "The order was corrected the same day."
};

// Run the Actor and wait for it to finish
const run = await client.actor("westerly_palisade/review-ready-by-dravara").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "review_text": "The team explained the delay clearly and fixed my order the same day.",
    "business_name": "Example Shop",
    "rating": 5,
    "tone": "warm",
    "known_resolution": "The order was corrected the same day.",
}

# Run the Actor and wait for it to finish
run = client.actor("westerly_palisade/review-ready-by-dravara").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 '{
  "review_text": "The team explained the delay clearly and fixed my order the same day.",
  "business_name": "Example Shop",
  "rating": 5,
  "tone": "warm",
  "known_resolution": "The order was corrected the same day."
}' |
apify call westerly_palisade/review-ready-by-dravara --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,westerly_palisade/review-ready-by-dravara"
        }
    }
}

```

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 <APIFY_API_TOKEN>` 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/3AZbYaG0FXjLd6X3D/builds/uNx7IClnbkdRJHeOZ/openapi.json