Processing modes
01
Send one text when a user, review queue, or product workflow is waiting on a decision.
02
Submit many documents as one ordered job when you need a cheaper way to scan large sets.
Why Pangram
Every completed analysis returns the same Pangram response fields for downstream scoring and review.
Use Pangram as a product decision layer, a review queue signal, or a backfill tool for historical content.
Response shape
Quickstart
Create an account or log in, open the API tab, generate a key, and call Pangram from the Python SDK. The API key can be passed directly or read from PANGRAM_API_KEY.
Install the SDK, set PANGRAM_API_KEY, and call predict() with the text you want to analyze.
import os
from pangram import Pangram
client = Pangram(api_key=os.environ["PANGRAM_API_KEY"])
result = client.predict(
"The text to analyze with Pangram",
public_dashboard_link=False,
)
print(result["prediction_short"])
Credits and billing
Self-serve
Buy $5-$2,000 in prepaid developer API credits from the purchase card above and start testing immediately.
Auto-refill
Enable auto-refill during checkout to recharge your API balance when credits drop below the threshold you choose.
Bulk savings
Bulk jobs receive a 20% discount on realtime pricing, giving teams a cheaper way to scan large document sets.
Examples
Use the API as a product decision layer, a review queue signal, or a backfill tool for historical content.
$25
Pangram 4: $0.05 = 100 words
Pangram 3: $0.05 = 1,000 words
Bulk API: 20% discount