Social data for AI agents

Your AI Agents Need Social Data. Octolens Delivers It Clean.

Scraping is fragile. Platform APIs are fragmented. Raw data is noisy. Octolens gives your agents one structured feed of brand mentions across 13 platforms — via MCP, REST API, or webhooks — with AI filtering already applied.

No credit card • 2-min setup • 5k free mentions

Loved by 1000+ SaaS & Developer Brands

Metabase logoPosthog logoAppSumo logoLovablebrowser-use logosupabase logoTally.so logoPrisma logoVercel logoJuicebox logostrapi logo
Metabase logoPosthog logoAppSumo logoLovablebrowser-use logosupabase logoTally.so logoPrisma logoVercel logoJuicebox logostrapi logo

Why Building on Raw Social Data Breaks

Scraping Is Fragile and Expensive

You build a scraper for Reddit. It breaks when the layout changes. You build one for Twitter. It gets rate-limited. Maintaining scrapers across 13 platforms is a full-time job you didn't sign up for.

Raw Data Is Mostly Noise

Your agent ingests thousands of mentions, but 80% are bots, irrelevant threads, or off-context keyword matches. Without filtering, your downstream actions are based on garbage data.

No Single Source of Truth

Reddit API, Twitter API, LinkedIn scraping, Hacker News firehose — each with different formats, rate limits, and auth flows. You're spending engineering time on data plumbing instead of building your actual product.

One Integration. 13 Platforms. Clean Data Out.

1. Connect via MCP, API, or webhooks

Use our MCP server for Claude-native workflows, the REST API for custom integrations, or webhooks for event-driven automations. Pick whatever fits your stack.

brand namecompetitor namepain point

2. AI filters and structures the data

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3. Your agents act on real-time signals

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Connect via MCP, API, or webhooks

"Wild AI-native onboarding experience. I literally entered zero input other than `vercel⁠.com` to get my Octolens feed up and giving me mentions"

Guillermo Rauch profile picture
Guillermo Rauch
Co-Founder and CEO, Vercel

What Teams Build With Octolens Data

AI-Powered Community Response

Build agents that draft context-aware replies to developer questions on Reddit and Hacker News. Octolens provides the mention, the platform, the sentiment, and the context — your agent handles the response.

Custom Dashboards and Alerts

Pipe mention data into your own tools. PostHog built a custom dashboard using Octolens webhooks and ValTown — tracking product-level sentiment in real time without opening the Octolens app.

We ran a billboard campaign — something notoriously hard to track. But thanks to Octolens, we saw real-time reactions. It gave us a clear brand signal that would've otherwise been invisible.

Brian Young

Demand Generation, PostHog

Competitive Intelligence Pipelines

Monitor competitor mentions programmatically. Feed structured data into your CRM, BI tool, or custom analytics pipeline. Track share of voice, sentiment trends, and positioning shifts over time — automatically.

Automated Routing and Triage

Vercel runs 20+ Slack channels, each fed by Octolens with product-specific mentions. Support issues go to support. Feature requests go to product. Positive mentions go to the whole company. No manual sorting.

It fundamentally changed how we run every product team at Vercel.

Zeb Hermann

General Manager v0, Vercel

Powering Workflows at Leading SaaS Companies

AI-native from day one

Wild AI-native onboarding experience. I literally entered zero input other than vercel.com to get my Octolens feed up and giving me mentions.

Guillermo Rauch

Guillermo Rauch

Co-Founder and CEO, Vercel

20+ teams automated

The Octolens team built one of the most impactful products I've used in the last 10 years. It fundamentally changed how we run every product team at Vercel.

Zeb Hermann

Zeb Hermann

General Manager v0, Vercel

Instant value

Damn Octolens does exactly what I wanted and does it really well.

Sam Lambert

Sam Lambert

CEO, PlanetScale

The Data Layer for Social Signals

11

platforms unified into one structured feed

Reddit, X, LinkedIn, HN, GitHub, and more

3

integration methods — MCP server, REST API, webhooks

Octolens

20+

teams at Vercel running automated mention workflows

Vercel

Brand Monitoring With Fair Pricing

Pay MonthlyPay AnnuallySave 20%

Starter

$49/month

  • Get started with brand monitoring
  • 3,000 mentions
  • 3 keywords
  • Monitor socials & communities
  • Daily Slack & Email alerts
  • AI filtering & triage

For upcoming brands

DocumensoPapermark
Popular

Pro

$119/month

  • React faster & integrate with your workflows
  • 15,000 mentions
  • 10 keywords
  • Monitor socials & communities
  • Hourly Slack & Email alerts
  • Analytics & reports
  • Webhooks & MCP

For growing brands

JuiceboxTally

Scale

$319/month

  • Full visibility into your brand's reputation
  • 50,000 mentions
  • 15 keywords
  • Monitor socials, communities, podcasts, media & newsletters
  • Real-time Slack & Email alerts
  • Weekly AI briefings
  • Full API access

For brands with communities

PostHogPrisma

Enterprise

Custom

  • Custom monitoring for multi-brand portfolios
  • Multiple workspaces
  • Unlimited mentions
  • Unlimited keywords
  • Custom AI agents

For viral brands

VercelSupabase

Need more mentions or keywords?

You can add extra mentions (from $0.007 per mention) and keywords (from $5/month) to any plan – with full cost control and flexibility.

Frequently Asked Questions

Three: an MCP server for Claude and other LLM-native workflows, a REST API for custom integrations, and webhooks for event-driven automations. All return structured JSON with mention text, platform, sentiment, relevance score, and metadata.

The Octolens MCP server lets AI agents like Claude access your mention data natively. Your agent can query recent mentions, filter by sentiment or platform, and use the data in its reasoning — without building a custom integration.

Each mention includes: original text, platform, author, URL, timestamp, AI relevance score, sentiment, and classification tags. Everything is structured JSON — no HTML parsing or text extraction needed on your end.

Yes. Set filters by platform, sentiment, relevance score, or keyword. Only mentions matching your criteria trigger the webhook — so your downstream systems only process data that matters.

Rate limits depend on your plan. Pro and Scale plans include generous API limits for production workflows. For high-volume pipelines, reach out about Enterprise plans with custom limits.

Yes. CSV export is available for bulk data analysis, and the API supports date-range queries for historical mentions. Data retention ranges from 6 months (Starter) to 48 months (Scale).

No. If your workflow is fully automated via API, MCP, or webhooks, you never need to open the dashboard. Many teams use a hybrid approach — automated workflows for triage and the dashboard for deeper exploration.

Start Monitoring Your Brand Today

Join 1,000+ B2B SaaS companies using Octolens for brand monitoring

Monitor 13+ platforms

Twitter, Reddit, LinkedIn, Hacker News, GitHub, and 6 more platforms

AI-filtered mentions

Only see high-signal mentions: no spam, bots, or noise

Setup in 2 minutes

Get started immediately, no complex configuration required

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