# How to Verify the Authenticity of Documentation Retrieved from Context7

> Learn how to verify documentation authenticity in Context7 using its library verification system. Ensure trusted content with high trust scores. Secure your information today.

- Repository: [Upstash/context7](https://github.com/upstash/context7)
- Tags: how-to-guide
- Published: 2026-02-16

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**Context7 guarantees documentation authenticity through a library verification system that assigns trusted badges to libraries meeting strict quality thresholds, including a trust score of 9 or higher.**

When you retrieve documentation using the Context7 AI SDK, you can programmatically verify that the content originates from an official, maintained source. The `upstash/context7` repository implements a two-step verification flow through `resolveLibraryId` and `queryDocs` that exposes verification metadata alongside the documentation payload.

## Understanding Context7's Library Verification System

Context7 maintains a **verification badge** system that marks libraries as trusted only after they pass rigorous quality checks. According to the source code in `docs/howto/verification.mdx`, a library must achieve a **trust score of at least 9**, demonstrate significant usage statistics, and adhere to best-practice guidelines to receive automatic verification.

This system ensures that when you verify the authenticity of documentation retrieved from Context7, you are accessing content that is officially maintained and up-to-date, not community-contributed or potentially outdated forks.

## How Verification Works in Context7

The verification process operates through two distinct pathways defined in the Context7 documentation.

### Automatic Verification

Libraries meeting quality thresholds are marked as verified automatically each day. As implemented in the verification logic, this requires:

- Trust score ≥ 9
- Top-100 usage statistics
- Top-100 skill installs

These criteria are evaluated in `docs/howto/verification.mdx` (lines 39-45), ensuring that only high-quality, widely-used libraries receive the verified badge without manual intervention.

### Manual Verification Process

Library owners can initiate manual verification through the admin interface. The process, detailed in `docs/howto/verification.mdx` (lines 49-71), involves:

1. Navigating to `https://context7.com/<owner>/<repo>/admin`
2. Clicking **"Apply for Verification"** and submitting the form
3. Tracking the request via an automatically created GitHub issue
4. Receiving the green check-mark badge upon approval

### The Verification Badge

Once verified, a library displays a visible badge on its main page, search results, and skill listings. This UI element, defined in `docs/howto/verification.mdx` (lines 20-27), signals authenticity to downstream consumers and AI systems using the Context7 platform.

## Programmatically Verifying Documentation Authenticity

The Context7 AI SDK exposes verification status through a two-step workflow implemented in [`packages/tools-ai-sdk/src/tools/resolve-library-id.ts`](https://github.com/upstash/context7/blob/main/packages/tools-ai-sdk/src/tools/resolve-library-id.ts) and [`packages/tools-ai-sdk/src/tools/query-docs.ts`](https://github.com/upstash/context7/blob/main/packages/tools-ai-sdk/src/tools/query-docs.ts).

When you call **`resolveLibraryId`**, the SDK contacts Context7's search endpoint and returns candidate libraries with their `verified` boolean flag and `trustScore` values. The subsequent **`queryDocs`** call retrieves documentation only for the specific library ID you provide, with built-in warnings for unverified sources.

### Example: Resolving and Verifying a Library

```typescript
import { resolveLibraryId, queryDocs } from '@upstash/context7-tools-ai-sdk';
import { generateText, stepCountIs } from 'ai';
import { openai } from '@ai-sdk/openai';

async function getVerifiedDocs(userQuestion: string) {
  const { text } = await generateText({
    model: openai('gpt-4o'),
    prompt: userQuestion,
    tools: {
      resolveLibraryId: resolveLibraryId(),
      queryDocs: queryDocs(),
    },
    // Stop after we have resolved the ID and fetched the docs
    stopWhen: stepCountIs(5),
  });

  return text;
}

// Usage
getVerifiedDocs('How do I configure authentication in Supabase?')
  .then(console.log)
  .catch(console.error);

```

In this implementation, `resolveLibraryId` returns an array where each entry contains `verified` and `trustScore` properties. The AI model selects the entry with `verified: true` before invoking `queryDocs`, ensuring only authenticated documentation is processed.

### Example: Server-Side Verification Guard

```typescript
import { Context7 } from '@upstash/context7-sdk';

export async function fetchDocs(libraryName: string, query: string) {
  const client = new Context7(); // uses CONTEXT7_API_KEY automatically
  const candidates = await client.searchLibrary(query, libraryName, { type: 'txt' });

  const verified = candidates.find(c => c.verified);
  if (!verified) throw new Error('No verified library found for the requested name');

  const docs = await client.getContext(query, verified.id, { type: 'txt' });
  return docs;
}

```

This server-side handler explicitly checks the `verified` flag before calling `getContext`, guaranteeing that only documentation from verified libraries is returned to end-users.

## Summary

- Context7 verifies documentation authenticity through a **library verification system** that assigns trusted badges to qualifying libraries.
- Libraries must achieve a **trust score of at least 9** and meet usage thresholds to receive automatic verification.
- The **Context7 AI SDK** exposes verification status through `resolveLibraryId`, which returns `verified` boolean flags and `trustScore` values for each candidate library.
- Always check the `verified` property before calling `queryDocs` to ensure you retrieve documentation only from authenticated sources.
- Manual verification is available through the admin interface at `context7.com/<owner>/<repo>/admin` for library owners seeking trusted status.

## Frequently Asked Questions

### What trust score indicates a verified library in Context7?

A library must achieve a **trust score of 9 or higher** to qualify for automatic verification. This threshold, defined in `docs/howto/verification.mdx`, ensures that only libraries meeting strict quality and usage criteria receive the trusted badge.

### How do I apply for manual verification for my library?

Navigate to `https://context7.com/<owner>/<repo>/admin` and click **"Apply for Verification"**. After submitting the form, Context7 creates a GitHub issue to track your request. Once approved, your library will display the green verification badge on all listings and search results.

### Can I fetch documentation from unverified libraries?

Yes, the Context7 SDK allows fetching documentation from unverified libraries, but the system provides warnings when doing so. The `resolveLibraryId` function returns the `verified` status for each candidate, allowing your application to filter for verified sources before calling `queryDocs` or `getContext`.

### Where is the verification logic implemented in the Context7 SDK?

The verification metadata is returned by **`resolveLibraryId`** in [`packages/tools-ai-sdk/src/tools/resolve-library-id.ts`](https://github.com/upstash/context7/blob/main/packages/tools-ai-sdk/src/tools/resolve-library-id.ts), which queries the Context7 search endpoint. The actual documentation retrieval occurs in **`queryDocs`** within [`packages/tools-ai-sdk/src/tools/query-docs.ts`](https://github.com/upstash/context7/blob/main/packages/tools-ai-sdk/src/tools/query-docs.ts). The orchestration of these tools for AI applications is defined in [`plugins/claude/context7/skills/documentation-lookup/SKILL.md`](https://github.com/upstash/context7/blob/main/plugins/claude/context7/skills/documentation-lookup/SKILL.md).