# Score an Airtable base out of 100

**Use case:** 

Run all five rule packs over two bundled sample bases and get a scorecard for each: a score out of 100, an A-F grade, the finding counts by severity, and which checks could and could not run against the token. The sample bases span the scale on purpose, one at 0/F and one at 97/A, so you can see what both ends look like before connecting an account.

## Input

```json
{
  "baseIds": [],
  "rulePacks": [
    "structure",
    "naming",
    "links",
    "exposure",
    "values"
  ],
  "minSeverity": "low",
  "sampleRecords": false,
  "sampleSize": 100,
  "maxTablesSampled": 200,
  "includeHtmlReport": true
}
```

## Output

```json
{
  "severity": {
    "label": "Severity",
    "format": "text"
  },
  "rule": {
    "label": "Rule",
    "format": "text"
  },
  "rulePack": {
    "label": "Pack",
    "format": "text"
  },
  "baseName": {
    "label": "Base",
    "format": "text"
  },
  "tableName": {
    "label": "Table",
    "format": "text"
  },
  "fieldName": {
    "label": "Field",
    "format": "text"
  },
  "fieldType": {
    "label": "Field type",
    "format": "text"
  },
  "message": {
    "label": "Finding",
    "format": "text"
  },
  "evidence": {
    "label": "Evidence",
    "format": "text"
  },
  "remediation": {
    "label": "What to do",
    "format": "text"
  },
  "confidence": {
    "label": "Confidence",
    "format": "text"
  },
  "source": {
    "label": "Source",
    "format": "text"
  },
  "collectedAt": {
    "label": "Audited",
    "format": "date"
  },
  "baseId": {
    "label": "Base ID",
    "format": "text"
  },
  "tableId": {
    "label": "Table ID",
    "format": "text"
  },
  "fieldId": {
    "label": "Field ID",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Airtable Base Schema Auditor & Link Checker](https://apify.com/mediocre_interest/airtable-schema-auditor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/mediocre_interest/airtable-schema-auditor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/mediocre_interest/airtable-schema-auditor.md

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`).