scanned May 13, 2026501 of 1,857 pages
activeloop.ai
Activeloop provides a GPU database for AI applications, enabling faster and more efficient data processing and analysis.
Tier 1 · Agent-Unreadable
Scored by asking 15 questions a buyer of a ai-ml product asks, then grading this site’s own pages: answered, hedged (partial or vague), or silent (no page answers it). How scoring works
15 buyer questions · graded against the site’s own pages
Goes silent · getting-started · high importance
Does the free tier have any hard caps on dataset size or number of queries, or is it just slower performance?
Goes silent · pricing · high importance
I'm trying to estimate our monthly spend for a computer vision pipeline. What's the exact per-GPU-hour rate for A100s versus H100s on your platform?
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Sign in to claim86 points sit between activeloop.ai and 100: 14 open questions and 6 missing protocol checks, ordered by estimated payoff.
Point estimates are per fix under scoring v2. They are not additive to a promised total.
Does the free tier have any hard caps on dataset size or number of queries, or is it just slower performance?
No page on the site addresses this.
Create a dedicated pricing page that clearly documents free tier limits including dataset size caps, query rate limits, and whether limits are hard caps or performance-based throttling.
confidence high · grounding world-knowledge · weight 0.00 · Absent
I'm trying to estimate our monthly spend for a computer vision pipeline. What's the exact per-GPU-hour rate for A100s versus H100s on your platform?
No page on the site addresses this.
Create a dedicated pricing page with transparent GPU compute rates for A100s, H100s, and other hardware tiers, including per-hour pricing and any volume discounts or reserved instance options.
confidence high · grounding synthesized · weight 0.00 · Absent
Our security team needs to know: are you SOC 2 Type II certified, or just Type I? And can we get the report under NDA?
No page on the site addresses this.
Create a dedicated security/compliance page (e.g., /security or /trust) that explicitly states SOC 2 Type II certification status and provides instructions for requesting the report under NDA.
confidence high · grounding world-knowledge · weight 0.00 · Absent
We're uploading video datasets. Is there a per-file size limit through the API, or do we need to chunk files client-side?
No page on the site addresses this.
Add explicit documentation about per-file size limits for API uploads to the 'Ingesting with Metadata' or 'Files API' documentation pages, including whether client-side chunking is required for large video files.
confidence high · grounding synthesized · weight 0.00 · Absent
We have existing Deeplake datasets from 2023. Are there any breaking format changes that would require re-ingestion, or is backward compatibility maintained?
No page on the site addresses this.
Create a dedicated migration or changelog page documenting dataset format versions, backward compatibility guarantees, and any breaking changes between versions. Link this prominently from docs and release notes.
confidence high · grounding world-knowledge · weight 0.00 · Absent
Is there any way to set billing alerts at specific dollar thresholds, or do we have to monitor usage manually through the dashboard?
No page on the site addresses this.
Create documentation or FAQ covering billing management features including whether automated billing alerts at dollar thresholds are available, how to set them up, and what monitoring options exist beyond the dashboard.
confidence high · grounding world-knowledge · weight 0.00 · Absent
For compliance reasons we need data residency in Frankfurt. Do you offer EU-only storage regions, or is everything US-east by default?
No page on the site addresses this.
Create a dedicated page or section on data residency, storage regions, and compliance (e.g., 'Data Residency & Compliance' or 'Infrastructure & Regions') that explicitly states which regions are available (EU, US, etc.) and whether customers can choose specific regions like Frankfurt for GDPR compliance.
confidence high · grounding world-knowledge · weight 0.00 · Absent
The docs mention ingesting with metadata, but what's the maximum number of custom metadata fields per dataset before performance degrades?
No page on the site addresses this.
Add a section to the 'Ingesting with Metadata' documentation specifying recommended limits for custom metadata fields per dataset and any performance implications of exceeding those limits.
confidence high · grounding world-knowledge · weight 0.00 · Absent
Our queries sometimes hang on large vector searches. What's the default query timeout, and can we override it per-request?
No page on the site addresses this.
Create documentation covering default query timeouts for vector search operations and whether/how users can configure timeout values per-request (e.g., via API parameters, SDK options, or environment variables).
confidence high · grounding world-knowledge · weight 0.00 · Absent
We're setting up team workspaces. Is there a hard limit on simultaneous users per workspace, or just recommended best practices?
No page on the site addresses this.
Add documentation on workspace capacity limits, concurrent user recommendations, or scaling guidelines to the Workspaces section of the API docs or user guide.
confidence high · grounding synthesized · weight 0.00 · Absent
When customizing models with our own weights, how do we specify VRAM requirements so your scheduler doesn't OOM-kill our jobs?
No page on the site addresses this.
Create documentation covering how to specify GPU/VRAM requirements when submitting custom model training or inference jobs, including scheduler configuration parameters and memory reservation options.
confidence high · grounding world-knowledge · weight 0.00 · Absent
For the streaming output feature, what's the default chunk size in tokens, and does it vary by model or stay fixed?
No page on the site addresses this.
Add documentation to the Streaming Output page specifying the default chunk size in tokens and whether this value is configurable or varies by model (e.g., activeloop-l0 vs other models).
confidence high · grounding synthesized · weight 0.00 · Absent
A buyer gets something, then has to guess the rest. Expand any row for the evidence and the fix.
We're integrating with your MCP server. Which MCP protocol version do you support—2024-11-05 or the newer 2025-03-26 spec?
No page on the site addresses this.
The 'Integrating MCP' documentation page exists but has empty body content—likely an accordion or JS-collapsed section that the crawler failed to expand. Expand the MCP integration documentation to include the protocol version supported.
Where we looked: /integrating-mcp.md, /integrating-mcp.md
confidence high · grounding synthesized · weight 0.00 · Collapsed
Your LangChain course mentions integration, but which specific LangChain and LangChain-core versions are currently tested and supported?
No page on the site addresses this.
Add a 'System Requirements' or 'Version Compatibility' section to the course page that explicitly lists the tested LangChain and LangChain-core versions, or include this information in the FAQ answer about package versions.
Where we looked: /courses/langchain
confidence high · grounding synthesized · weight 0.00 · Vague
1 of 15. Answered with enough specificity for a buyer to act on. This is the bar the queue above is chasing.
The query syntax docs show flat metadata filters. Can we filter on nested JSON paths like `annotations.objects[0].label`?
Yes, the query syntax supports filtering on nested JSON paths including array indices. The documentation shows examples of deep nesting with array access: `order.items[0].product.name = "Widget"`, `metadata.tags[0] = "important"`, and `user.profile.address = "New York"`. This confirms that syntax like `annotations.objects[0].label` is supported.
Source: /user-guide/filtering-query/query-syntax, /user-guide/filtering-query/query-syntax.md, /user-guide/filtering-query/query-syntax.md, /user-guide/filtering-query/query-syntax.md
confidence high · grounding stated · weight 1.00 · Answered
The other half of the score: 16 checks for the files and headers agents look for. The 6 below are installs, not judgment calls, and most are an afternoon. Expand any for the snippet and the standard it follows. They sit after the queue because none of them changes what your pages say.
User-agent: * Content-Signal: search=yes, ai-input=yes, ai-train=no Allow: /
StandardCloudflare proposalVendor proposal
StandardRFC 9110 + 7763IETF RFC
Sitedex generates this file from your crawl. Grab it in Files from this audit below.
StandardModel Context ProtocolCommunity spec
StandardOpenAPI SpecIndustry standard
Sitedex generates this file from your crawl. Grab it in Files from this audit below.
StandardW3C WebMCP draftW3C / WHATWG
<html lang="en">
StandardHTML LS + WCAG 2.1W3C / WHATWG
Already passing 10 of 16: robots.txt, sitemap.xml, llms.txt, AI crawler access, Clean crawl, Server-rendered content, Canonical URLs, Meta descriptions, Organization schema, Sitemap lastmod.
Sitedex already serves activeloop.ai as an MCP endpoint. Ask activeloop.ai anything an AI agent might ask, and see what its index returns. (To score your own site, use the form below.)
For developers and the engineer-on-call: copy these into your tools or your site.
Files from this audit
Built from this crawl. Download or copy each, then install it at the path noted.
Built from this crawl. Install at /llms.txt so agents start here.
Organization JSON-LD, pre-filled from this crawl. Wrap in a ld+json script.
MCP server card built from this crawl. Host at /.well-known/mcp/server-card.json.
WebMCP discovery manifest built from this crawl. Host at /.well-known/webmcp.json.
MCP endpoint
https://mcp.sitedex.dev/s/activeloop-ai/mcp
The URL anyone's agent points at. Read-only; safe to share.
Claude Code
claude mcp add activeloop --transport http https://mcp.sitedex.dev/s/activeloop-ai/mcp
One command, then the agent has it.
Cursor / Continue
{
"mcpServers": {
"activeloop": {
"url": "https://mcp.sitedex.dev/s/activeloop-ai/mcp"
}
}
}Drop into mcp.json.
WebMCP: two parts
WebMCP-capable browsers run the widget at runtime. Crawlers without JS rendering need the discovery manifest to find your tool surface. Install both.
1 · Widget script
<script async src="https://sitedex.dev/widget.js"></script>
Drop in <head>. WebMCP-capable browsers (Chrome 146+ Origin Trial) call navigator.modelContext.provideContext() via this script.
2 · Discovery manifest
{
"$schema": "https://wellknownmcp.org/schemas/webmcp.json",
"name": "activeloop.ai",
"tools": [
{ "name": "search", "description": "Search activeloop.ai's indexed content." },
{ "name": "get_page", "description": "Fetch a page from activeloop.ai as markdown." }
]
}Host alongside the script at /.well-known/webmcp.json. Crawlers that don't render JS rely on this.
Your turn
See which of these questions your site goes silent on.
Free, about 5 minutes. We crawl your site, test it against the buyer questions your category asks, and name what’s vague, contradictory, or missing, plus the files AI agents look for.