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Pangram

by Pangram LabsNo ratings yet

AI text detection API with prepaid credits, plus an MCP server for agents

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Linked from pangram.com · checked 29 Oct

Tool type
AI text detection API and MCP server
Made for
Developers and review-system teams
Runs on
Hosted API and MCP server; Python SDK client
Calls run against Pangram's hosted services; the API console is for keys and credits, not the runtime.
Last checked
29 Oct 2026
5 product sources

What it does

Pangram's AI Detection API takes a block of text and returns a classification: overall fractions of text that look AI-written, AI-assisted, or human-written, plus per-section windows with labels, scores, and character ranges. Developers call it through a Python SDK, using predict() for single texts and submit_bulk() for asynchronous batches, or through the REST API.

The Pangram MCP server exposes check_for_ai, check_for_similarity, and list_models tools to compatible agent clients, authenticated through Pangram account sign-in rather than a copied API key. Typical uses include moderation queues, LMS submissions, CMS review flows, and backfills of content archives. Results can also include a dashboard link for sharing.

Access requires a Pangram account and prepaid API credits from $5. Realtime checks are limited to 5 QPS, and bulk jobs receive a 20% discount for large document sets. Enterprise contact is the route for SOC 2, zero data retention options, and higher rate limits.

What it can do

  • Detect AI-generated and AI-assisted text with overall fraction scores
  • Return per-window labels, confidence, and character ranges for analyzed sections
  • Process single texts in realtime and large sets via asynchronous bulk jobs
  • Generate shareable dashboard links for results
  • Check text for similarity with online sources through the MCP server
  • Expose detection tools to compatible agent clients via OAuth-secured MCP

Works with

  • Google Docs

Before you choose

  • Model availability depends on the API key; new code should pass an explicit model rather than relying on the default, since the argument becomes required after September 30, 2026
  • Realtime rate limit is 5 QPS; bulk jobs suit large document sets and run asynchronously
  • MCP usage draws from the same API credit balance as the API, not the dashboard scan balance

Listed under

Get started

Create an account, generate a key in the API tab, and purchase prepaid credits.

  1. Install the Python SDK with pip install pangram-sdk
  2. Set PANGRAM_API_KEY as an environment variable or pass the key to the Pangram constructor
  3. Call list_models() and pass a returned model name, such as pangram-4, to predict() or submit_bulk()
Get API key and buy credits

Plans and prices

Prices in USD

Developer API uses prepaid credits purchasable from $5 to $2,000. The realtime rate for Pangram 4 is $0.05 per 100 words, and bulk jobs receive a 20% discount. The Individual and Professional plans on the pricing page also list monthly API credits ($10 and $200 respectively).

Developer API (prepaid credits)Usage-basedRealtime $0.05 per 100 words; see API rate table for current rates. Bulk jobs receive 20% discount.
  • Prepaid credits from $5 to $2,000
  • Auto-refill option available

Source: pangram.com/solutions/api, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

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Data and security

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Where this comes from

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.