The AI workspace for your API docs

The AI workspace for your API docs

You work with six APIs. Stripe for payments. Twilio for messaging. SendGrid for email. Your own internal API for the core platform. A partner's API for data sync. A third-party service for authentication. Each has its own documentation site, its own search, its own structure, and its own quirks. When you need to check the payload format for a Stripe webhook, you open the Stripe docs and search. When you need the error codes for the internal API, you search the wiki (which might be outdated). When you need to understand how the partner's API handles pagination, you open their docs.

You spend your day context-switching between documentation sites, and the integration patterns that span multiple APIs live only in your head. "When Stripe sends a webhook, we transform the payload and send it to our internal API, which triggers a notification via Twilio" crosses three documentation sets. No single search covers all of them.

Fabric puts every API reference in one searchable library. Save the docs you use. The AI searches across all of them and answers integration questions that span multiple APIs.

Save the docs you actually use

Clip API documentation pages with the web clipper. Save the endpoints you use most, the authentication guides, the error code references, and the migration guides. Upload internal API documentation from Google Drive or Notion. Forward API changelog emails to email-to-note. The documentation you actually reference lives in one searchable library rather than across six browser tabs.

The key difference from bookmarking: Fabric saves the content, not just the link. If the documentation changes or the page moves, your saved version persists. And the content is searchable by meaning, not by navigating someone else's site structure.

One search across every API

AI search reads inside every saved documentation page, internal wiki entry, and code snippet and searches by meaning across all of them simultaneously. "How does Stripe handle refund webhooks" finds the Stripe docs. "The error code for rate limiting on our internal API" finds the internal reference. "How does the partner API paginate results" finds their documentation. One search bar for every API you work with.

The search understands developer concepts. "Authentication flow for OAuth2" finds the relevant docs even if different APIs describe the flow differently. "Idempotency keys" finds every API's approach to idempotency across your library.

The AI answers integration questions

The AI assistant works from your full documentation library. This is where it gets genuinely useful: ask it questions that span multiple APIs. "What format does the Stripe webhook use, and how does that map to our internal API's expected payload?" draws from both documentation sets. "If the Twilio API returns a 429, what's our retry strategy?" draws from Twilio's docs and your internal error handling documentation.

Ask it to find the differences between how two APIs handle pagination. Ask it to check whether an endpoint has been deprecated. Ask it to summarise the breaking changes in the latest API version from the changelog you saved. The answers are grounded in actual documentation, not in training data that might be outdated.

Annotate with implementation context

Annotations let you add notes to documentation pages: "we use API key auth, not OAuth for this one," "this endpoint is deprecated in v3, migrate by Q2," "pagination cursor breaks on empty results, use offset instead," "our wrapper library handles this differently." The annotations are searchable, so "every API where I flagged deprecation" or "pagination gotchas" finds the relevant notes across your documentation library.

These annotations are the implementation knowledge that lives in developers' heads: the gap between what the docs say and how you actually use the API. Making that knowledge searchable means the next developer on the project doesn't have to rediscover it.

Track API changes

Forward API changelog emails to email-to-note. Save release notes and migration guides with the web clipper. Agents can monitor for changes and flag anything relevant to your integration. Subscribe to API blogs via RSS feeds. The changes are searchable alongside the documentation, so "what changed in the Stripe API in the last six months" produces a comprehensive answer.

Organised by service and domain

Smart organization groups documentation by API, domain, and topic. Stripe docs cluster together. Authentication patterns group across APIs. Error handling references sort by service. You don't need to maintain a bookmark structure. The library organises itself.

Who uses Fabric for API docs

Developers working with multiple APIs daily. Engineering teams maintaining internal API documentation. Freelancers managing API integrations across client projects. Indie hackers building with third-party services. Computer science students learning API integration patterns.

For managing code alongside docs, see code snippets. For the broader developer workspace, see Fabric for developers.

Get started

Put every API you use in one searchable library. Try Fabric free.

FAQs

Can I search across multiple APIs' docs at once?

Yes. AI search reads across every saved documentation page and searches by meaning.

Can the AI answer questions that span multiple APIs?

Yes. The AI assistant draws from your full documentation library and can answer integration questions across services.

Does saving the docs protect against page changes?

Yes. Fabric saves the content, not just the link. Your saved version persists regardless of changes to the source site.

Can I annotate with implementation context?

Yes. Annotations let you add searchable notes about how you actually use the API versus what the docs say.

Can I track API changelog emails?

Yes. Forward to email-to-note. Subscribe to API blogs via RSS feeds. Agents can flag relevant changes.

Are docs organised by service automatically?

Yes. Smart organization groups by API, domain, and topic.

Can I save internal API documentation alongside external?

Yes. Internal docs from your wiki or Drive are searchable alongside external API references in the same library.

Is my data private?

Yes. Fabric uses AES-256 encryption and is CASA Tier 2 compliant. Your data is never used to train AI models.