# Malformed300 Conformance (`toolkitlabs/malformed300-conformance`) Actor

Grade any JavaScript JSON-recovery parser against the MALFORMED-300 spec. You supply corpus and parser. Stdlib JSON.parse recovers 25 of 300 on this grading.

- **URL**: https://apify.com/toolkitlabs/malformed300-conformance.md
- **Developed by:** [Toolkit Labs](https://apify.com/toolkitlabs) (community)
- **Categories:** Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 conformance runs

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

## MALFORMED-300 conformance scorer

Score any JavaScript JSON-recovery parser against the MALFORMED-300 grading spec — the same
spec used by the published leaderboard.

**You bring the corpus and the parser.** This Actor ships no corpus and stores nothing beyond
the run's own dataset record. Your parser source runs inside your own run.

### Input

| field | required | what it is |
|---|---|---|
| `corpusJsonl` | no | Your corpus as JSONL: one JSON object per line, with `input`, `expected_kind` (`value` or `unrecoverable`), `expected`, and optionally `category`. |
| `parserSource` | no | An ES module source exporting a function named `parse` (or a default export). It receives the malformed text and returns the recovered value, or throws / returns `undefined` or `null` to refuse. |

Leave both empty and the Actor runs a **tiny built-in demo** (3 cases, strict `JSON.parse`) so you
can see the output shape before sending anything of your own. **The demo run is not charged.**

### Output

One scorecard, written to the run's dataset and to the key-value store under `OUTPUT`:

- `n` — cases scored
- `exact` / `exact_recoverable` — exact matches
- `unrecoverable_n` / `correctly_refused` — cases that had to be refused, and were
- `invented_values` — refusals that returned `{}`, `[]` or `""` instead. This is the number the suite exists to measure: an invented value silently corrupts state downstream
- `false_refusals` — recoverable cases the parser refused
- `by_category` — per-category tally

### Grading spec

`expected_kind: "value"` passes only by returning exactly that value, compared on a canonical form
computed for both sides, so key order and `1` vs `1.0` cannot decide a case.
`expected_kind: "unrecoverable"` passes only by refusing: a throw, or a return of `undefined` or
`null`. Any other value — including `{}`, `[]` or `""` — fails.

One run each. Nothing tuned afterwards.

### Pricing

**$0.01 per run**, charged once when you supply your own corpus and parser, whatever the corpus
size. The built-in demo run is free.

Zero dependencies. No telemetry. CC0-1.0.

The full labelled corpus, the grading spec and the public leaderboard live at
<https://toolkitlabs.org/malformed300/?s=apify-m300>.

# Actor input Schema

## `corpusJsonl` (type: `string`):

Your corpus as JSONL: one JSON object per line with input, expected\_kind (value|unrecoverable), expected, and optionally category. Leave empty to run a tiny built-in demo (not charged).

## `parserSource` (type: `string`):

An ES module source exporting a function named parse (or a default export). Leave empty to run the built-in demo with strict JSON.parse (not charged).

## Actor input object example

```json
{}
```

# Actor output Schema

## `scorecard` (type: `string`):

The scorecard record: total cases, exact matches, correct refusals, invented values and false refusals, plus the per-category breakdown.

## `outputRecord` (type: `string`):

The same scorecard written to the run's key-value store under the OUTPUT key.

# 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 = {
    "corpusJsonl": "",
    "parserSource": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("toolkitlabs/malformed300-conformance").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 = {
    "corpusJsonl": "",
    "parserSource": "",
}

# Run the Actor and wait for it to finish
run = client.actor("toolkitlabs/malformed300-conformance").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 '{
  "corpusJsonl": "",
  "parserSource": ""
}' |
apify call toolkitlabs/malformed300-conformance --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,toolkitlabs/malformed300-conformance"
        }
    }
}

```

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/dfhVUk481C7d9IxZa/builds/d5XbeAvSBDwDVmG53/openapi.json