# Graded Card Intelligence - PSA Pop + Prices + Grading ROI (`lulzasaur/graded-card-intelligence`) Actor

One lookup per card: PSA population (+ gem rate), market price, and a grading-arbitrage signal (buy raw -> grade -> sell ROI). Built for card flippers, graders and collectors.

- **URL**: https://apify.com/lulzasaur/graded-card-intelligence.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 card intelligences

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/platform/actors/running/actors-in-store#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

## Graded Card Intelligence — PSA Pop + Prices + Grading ROI

**One lookup per card → should you grade it, and how scarce is it?**

For each card you pass, this Actor returns:

- **PSA population** — total graded, PSA 9 / PSA 10 counts, and the **gem rate** (how often the card actually grades a 10 — lower = harder = more upside). Add the card's `set` to include it.
- **Market price** — raw and graded prices (PriceCharting estimates, or real eBay **SOLD** comps with `includeComps`).
- **Grading-arbitrage signal** — a decision-ready headline: *buy raw → grade → sell* spread + ROI, with a **GRADE / MARGINAL / PASS** recommendation.

Built for card flippers, bulk submitters, and collectors across Pokémon, sports, and all major TCGs.

### Input

```json
{
  "cards": [
    { "card": "charizard", "set": "Base Set" },
    { "card": "pikachu vmax", "set": "Vivid Voltage" }
  ],
  "includeComps": false,
  "gradingFee": 25
}
```

- `cards` — array of strings (`"charizard base set"`) or objects `{ card, set, sport }`. Include `set` for PSA population.
- `includeComps` — `true` for real eBay sold comps (slower; warms on first lookup of a card), `false` for fast price estimates.
- `sport` — for sports cards, e.g. `basketball` (prices via SportsCardsPro).
- `gradingFee` — round-trip grading cost used in the ROI math (default 25).

### Output (one record per card)

```json
{
  "card": "charizard",
  "set": "Base Set",
  "recommendation": "GRADE",
  "signal": "Buy raw ~$380 + grade $25 → sell PSA 10 ~$1504 = +$1099 (271.5% ROI)",
  "population": { "total": 100961, "grade9": 8467, "grade10": 486, "gemRatePct": 0.5 },
  "rawPrice": 380.05,
  "bestGrade": "grade10",
  "bestGradedPrice": 1504.8,
  "spread": 1099.75,
  "roi": 271.5
}
```

### Notes

- Population for a brand-new set warms in the background (~2–3 min), then serves instantly from cache on the next run.
- Pricing is pay-per-result: one charge per card record returned.

# Actor input Schema

## `cards` (type: `array`):

Cards to look up. Each item is a string like "charizard base set", OR an object {"card": "charizard", "set": "Base Set", "sport": "basketball"}. Include the set name to get PSA population + gem rate.

## `includeComps` (type: `boolean`):

ON = median of real eBay sold prices (slower; warms in background on first lookup of a card). OFF = fast PriceCharting price estimates.

## `includeTrend` (type: `boolean`):

Add PSA population growth/dilution history (new PSA 10s + total graded over 7/30/90 days, gem-rate drift). History deepens over time as snapshots accrue.

## `sport` (type: `string`):

For sports cards, set the sport (e.g. basketball, football) to price via SportsCardsPro instead of PriceCharting. Leave blank for TCG.

## `gradingFee` (type: `integer`):

Grading + shipping cost used in the buy-raw -> grade -> sell math.

## `maxCards` (type: `integer`):

Safety cap on how many cards to look up in a single run.

## Actor input object example

```json
{
  "cards": [
    {
      "card": "charizard",
      "set": "Base Set"
    },
    {
      "card": "pikachu",
      "set": "Base Set"
    }
  ],
  "includeComps": false,
  "includeTrend": false,
  "gradingFee": 25,
  "maxCards": 100
}
```

# 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 = {
    "cards": [
        {
            "card": "charizard",
            "set": "Base Set"
        },
        {
            "card": "pikachu",
            "set": "Base Set"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/graded-card-intelligence").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 = { "cards": [
        {
            "card": "charizard",
            "set": "Base Set",
        },
        {
            "card": "pikachu",
            "set": "Base Set",
        },
    ] }

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/graded-card-intelligence").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "cards": [
    {
      "card": "charizard",
      "set": "Base Set"
    },
    {
      "card": "pikachu",
      "set": "Base Set"
    }
  ]
}' |
apify call lulzasaur/graded-card-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=lulzasaur/graded-card-intelligence",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1WnVeaiFwx5sqeV9k/builds/J35hdYF0iph7PylCC/openapi.json