# Kynexis Printer Label Compatibility Checker (`denning218/kynexis-1`) Actor

Check printer and label compatibility with deterministic rules and evidence gates. Kynexis returns a structured decision, confidence, and missing requirements instead of guessing when technical facts are incomplete.

- **URL**: https://apify.com/denning218/kynexis-1.md
- **Developed by:** [Michael Denning](https://apify.com/denning218) (community)
- **Categories:** AI, Agents, Automation
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 compatibility decisions

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

## Kynexis Agent Compatibility Decision

This public one-shot Actor exposes Kynexis to AI agents and automated workflows without exposing the private Standby API or requiring a Kynexis customer API key.

Each run accepts one complete compatibility request, evaluates it with the same deterministic Kynexis rule engine and evidence-confidence gates used by the private production API, persists the decision through the named Apify ledger, and returns one dataset record.

### Agentic payment model

A successful published decision is associated with the pay-per-event event:

`compatibility-decision`

The event price is configured in the Apify publication/monetization settings. The Actor code does not hard-code a dollar amount.

For agentic-payment eligibility, publish this Actor with:

- Pay-per-event pricing
- limited Actor permissions
- Standby mode disabled

### Output

Business outcomes such as `approved`, `rejected`, `approved_with_conditions`, `more_information_required`, and `unsupported` are successful Kynexis decisions. Malformed input or an internal processing failure remains an Actor error.

### Security boundary

This Actor is intentionally separate from the authenticated private Standby API. Do not enable Standby mode on this public Actor. Do not expose private Kynexis API keys or private production secrets through Actor input or output.

# Actor input Schema

## `request` (type: `object`):

Complete request matching the Kynexis CompatibilityRequest schema. Use the JSON editor for nested printer, label, application, ribbon, and evidence records.

## `includeRequest` (type: `boolean`):

When enabled, the normalized request is copied into the dataset record for audit or downstream processing.

## Actor input object example

```json
{
  "request": {
    "request_type": "compatibility_check",
    "printer": {
      "manufacturer": "Zebra",
      "model": "ZD421d",
      "print_method": "direct_thermal",
      "max_media_width": {
        "value": 108,
        "unit": "mm"
      },
      "max_roll_diameter": {
        "value": 127,
        "unit": "mm"
      },
      "supported_core_sizes": [
        {
          "value": 12.7,
          "unit": "mm"
        },
        {
          "value": 25.4,
          "unit": "mm"
        }
      ],
      "supported_sensor_types": [
        "gap",
        "black_mark",
        "continuous",
        "notched"
      ]
    },
    "label": {
      "sku": "EXAMPLE-LABEL-001",
      "manufacturer": "Example Label Manufacturer",
      "width": {
        "value": 101.6,
        "unit": "mm"
      },
      "height": {
        "value": 152.4,
        "unit": "mm"
      },
      "material": "Paper",
      "print_method": "direct_thermal",
      "adhesive": "Permanent acrylic",
      "core_size": {
        "value": 25.4,
        "unit": "mm"
      },
      "roll_diameter": {
        "value": 127,
        "unit": "mm"
      },
      "sensor_type": "gap"
    },
    "application": {
      "environment": "indoor",
      "duration": "permanent"
    },
    "submitted_evidence": []
  },
  "includeRequest": false
}
```

# Actor output Schema

## `results` (type: `string`):

Default dataset containing the Kynexis decision.

# 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 = {
    "request": {
        "request_type": "compatibility_check",
        "printer": {
            "manufacturer": "Zebra",
            "model": "ZD421d",
            "print_method": "direct_thermal",
            "max_media_width": {
                "value": 108,
                "unit": "mm"
            },
            "max_roll_diameter": {
                "value": 127,
                "unit": "mm"
            },
            "supported_core_sizes": [
                {
                    "value": 12.7,
                    "unit": "mm"
                },
                {
                    "value": 25.4,
                    "unit": "mm"
                }
            ],
            "supported_sensor_types": [
                "gap",
                "black_mark",
                "continuous",
                "notched"
            ]
        },
        "label": {
            "sku": "EXAMPLE-LABEL-001",
            "manufacturer": "Example Label Manufacturer",
            "width": {
                "value": 101.6,
                "unit": "mm"
            },
            "height": {
                "value": 152.4,
                "unit": "mm"
            },
            "material": "Paper",
            "print_method": "direct_thermal",
            "adhesive": "Permanent acrylic",
            "core_size": {
                "value": 25.4,
                "unit": "mm"
            },
            "roll_diameter": {
                "value": 127,
                "unit": "mm"
            },
            "sensor_type": "gap"
        },
        "application": {
            "environment": "indoor",
            "duration": "permanent"
        },
        "submitted_evidence": []
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("denning218/kynexis-1").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 = { "request": {
        "request_type": "compatibility_check",
        "printer": {
            "manufacturer": "Zebra",
            "model": "ZD421d",
            "print_method": "direct_thermal",
            "max_media_width": {
                "value": 108,
                "unit": "mm",
            },
            "max_roll_diameter": {
                "value": 127,
                "unit": "mm",
            },
            "supported_core_sizes": [
                {
                    "value": 12.7,
                    "unit": "mm",
                },
                {
                    "value": 25.4,
                    "unit": "mm",
                },
            ],
            "supported_sensor_types": [
                "gap",
                "black_mark",
                "continuous",
                "notched",
            ],
        },
        "label": {
            "sku": "EXAMPLE-LABEL-001",
            "manufacturer": "Example Label Manufacturer",
            "width": {
                "value": 101.6,
                "unit": "mm",
            },
            "height": {
                "value": 152.4,
                "unit": "mm",
            },
            "material": "Paper",
            "print_method": "direct_thermal",
            "adhesive": "Permanent acrylic",
            "core_size": {
                "value": 25.4,
                "unit": "mm",
            },
            "roll_diameter": {
                "value": 127,
                "unit": "mm",
            },
            "sensor_type": "gap",
        },
        "application": {
            "environment": "indoor",
            "duration": "permanent",
        },
        "submitted_evidence": [],
    } }

# Run the Actor and wait for it to finish
run = client.actor("denning218/kynexis-1").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 '{
  "request": {
    "request_type": "compatibility_check",
    "printer": {
      "manufacturer": "Zebra",
      "model": "ZD421d",
      "print_method": "direct_thermal",
      "max_media_width": {
        "value": 108,
        "unit": "mm"
      },
      "max_roll_diameter": {
        "value": 127,
        "unit": "mm"
      },
      "supported_core_sizes": [
        {
          "value": 12.7,
          "unit": "mm"
        },
        {
          "value": 25.4,
          "unit": "mm"
        }
      ],
      "supported_sensor_types": [
        "gap",
        "black_mark",
        "continuous",
        "notched"
      ]
    },
    "label": {
      "sku": "EXAMPLE-LABEL-001",
      "manufacturer": "Example Label Manufacturer",
      "width": {
        "value": 101.6,
        "unit": "mm"
      },
      "height": {
        "value": 152.4,
        "unit": "mm"
      },
      "material": "Paper",
      "print_method": "direct_thermal",
      "adhesive": "Permanent acrylic",
      "core_size": {
        "value": 25.4,
        "unit": "mm"
      },
      "roll_diameter": {
        "value": 127,
        "unit": "mm"
      },
      "sensor_type": "gap"
    },
    "application": {
      "environment": "indoor",
      "duration": "permanent"
    },
    "submitted_evidence": []
  }
}' |
apify call denning218/kynexis-1 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,denning218/kynexis-1"
        }
    }
}

```

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/aCbdC5BZMTeqeCIWV/builds/VdmRwTQh218DiAbMB/openapi.json