Octolens vs Xpoz in 2026: Continuous community alerting vs on-demand social queries
Octolens watches 13+ platforms around the clock with an MCP server on every paid plan starting at $159 a month. Xpoz answers natural-language questions against 1.5 billion posts on a pay-per-credit model that starts free.
Octolens
Xpoz- Octolens covers 13+ platforms including GitHub, Hacker News, LinkedIn, and Product Hunt. Xpoz covers 4: Twitter, Instagram, TikTok, and Reddit, with no developer-community sources at all.
- Xpoz has a genuine free tier with 2,500 credits to test the service. Octolens has no free tier, only a time-limited trial before the $159/month Pro plan.
- Octolens is priced in flat monthly tiers regardless of usage volume. Xpoz uses a credit-based model that scales with query volume, starting at $20/month for 30,000 credits.
- Octolens is built for persistent real-time alerting via Slack, email, and webhooks. Xpoz supports recurring searches but lacks the same dedicated real-time alerting infrastructure.
- Xpoz uses natural language queries with no Boolean syntax required. Octolens relies on keyword and AI disambiguation rules rather than conversational search.
- Neither tool offers white-label delivery or client-sharing views for agencies.
Octolens and Xpoz both ship an MCP server, both target teams that already live inside Claude or Cursor, and both get pitched as the developer-friendly alternative to legacy monitoring dashboards. Past that, they solve different problems. Octolens is built to sit in the background and alert you the moment a relevant mention appears across Reddit, GitHub, Hacker News, and 10 other sources, with AI relevance scoring doing the filtering. Xpoz is built for the moment you have a question: type it in plain English, get back matching posts from a 1.5 billion-post index of Twitter, Instagram, TikTok, and Reddit, and pay only for what you query. One is a monitoring subscription, the other is closer to a search API you dip into when you need it.
The tools at a glance
Octolens
AI-filtered social listening across 13+ platforms with MCP server integration
Octolens is built for product-led companies whose buyers spend time on Reddit, GitHub issues, and Hacker News threads, sources most monitoring tools index poorly or skip. Every mention runs through AI relevance and sentiment scoring before an alert fires, and brand names that double as ordinary words get an AI disambiguation layer instead of a hand-built list of Boolean exclusions.
The MCP server ships on every paid plan and lets you query mention data directly from Claude, Cursor, or any MCP-compatible client without opening a dashboard. A REST API is included at the same tiers, so the AI-native workflow is not gated behind an enterprise contract the way it is with most competitors.
The cost of that always-on coverage is price and flexibility. There is no free tier, only a limited trial, and the $159/month Pro plan is a fixed monthly commitment whether you monitor one keyword lightly or ten keywords heavily. Coverage also skews toward English-language sources, and there is no white-label option for agencies.
| Feature | Free Trial Limited | Pro $159/mo | Scale $499/mo | Enterprise Contact |
|---|---|---|---|---|
| Monitored platforms | 13+ | 13+ | 13+ | 13+ |
| Keywords / topics | Limited | 10 | 50 | Custom |
| REST API access | No | Yes | Yes | Yes |
| MCP server | No | Yes | Yes | Yes |
| Slack and webhook alerts | No | Yes | Yes | Yes |
| AI disambiguation | No | Yes | Yes | Yes |
Xpoz
Natural language queries across 1.5B+ social posts via API and MCP integration
Xpoz lets you query a database of over 1.5 billion posts from Twitter, Instagram, TikTok, and Reddit using plain English instead of Boolean operators. Ask a question, get back matching posts with sentiment, engagement, and context attached. There is no dashboard to configure before your first useful result.
The MCP server exposes the same query capability inside Claude, Cursor, or any MCP-compatible AI environment, and the free tier ships with 2,500 credits, enough to test real coverage before spending anything. Paid plans start at $20/month for 30,000 credits, scaling up to 600,000 credits at $200/month for the Max tier.
The trade-off is coverage breadth and monitoring persistence. Xpoz only indexes four platforms, with no GitHub, Hacker News, or LinkedIn, so developer-community conversations are invisible to it. It also lacks the dedicated real-time alerting infrastructure Octolens is built around, making it better suited to episodic research than to catching a mention the minute it posts.
| Feature | Free $0 | Pro $20/mo | Max $200/mo |
|---|---|---|---|
| Credits included | 2,500 | 30,000 | 600,000 |
| Platform coverage | 4 platforms | 4 platforms | 4 platforms |
| REST API access | Yes | Yes | Yes |
| MCP server | Yes | Yes | Yes |
| Natural language queries | Yes | Yes | Yes |
| Priority support | No | No | Yes |
Head-to-head feature comparison
| Feature | Octolens | Xpoz |
|---|---|---|
| Primary use case | Continuous community and developer social listening | On-demand social research and queries |
| Platform coverage | 13+ platforms (Reddit, X, LinkedIn, GitHub, Hacker News, YouTube, Product Hunt, and more) | 4 platforms (Twitter, Instagram, TikTok, Reddit) |
| Developer community coverage (GitHub, Hacker News) | Yes, one of its stronger channels | No |
| Pricing model | Flat monthly tiers | Credit-based, scales with usage |
| Free tier | No, limited trial only | Yes, 2,500 credits |
| Persistent real-time alerting | Yes, Slack, email, and webhook alerts | No, recurring searches only, no dedicated alerting layer |
| Natural language queries | No, keyword and AI disambiguation based | Yes, plain English queries |
| MCP / AI-agent integration | Yes, MCP server on all paid plans | Yes, MCP server on all plans including Free |
| API access | Yes, all paid plans | Yes, all plans |
| White-label delivery | No | No |
| Entry price | $159/mo (Pro) | $0 (Free), $20/mo (Pro) |
Which should you choose?
OctolensXpozXpozOctolensXpozOctolensThe real fork here is workflow, not feature count. Octolens assumes you want to know about a mention within minutes of it happening and are willing to pay a flat fee every month for that guarantee. Xpoz assumes your need is bursty: a research sprint this week, nothing next week, and you would rather pay in credits for exactly the queries you run. A team monitoring a single high-stakes keyword around the clock will feel Xpoz's lack of persistent alerting as a real gap. A team doing periodic competitive research will feel Octolens's flat $159/month as money spent on idle capacity.
Bottom line
Choose Octolens if catching a mention the moment it posts on Reddit or Hacker News actually matters to your workflow, and the $159/month price is small relative to what a missed mention costs you. Choose Xpoz if your social research happens in bursts, you want to test real coverage on a free tier first, and four platforms (Twitter, Instagram, TikTok, Reddit) covers where your audience actually talks. Teams that need both continuous alerting and broader natural-language research end up running the two side by side rather than picking one.
Frequently asked questions
Is Xpoz a real alternative to Octolens for continuous brand monitoring?
Not quite. Xpoz supports recurring searches but does not have the same dedicated real-time alerting infrastructure that Octolens is built around, so if your priority is getting notified within minutes of a new mention, Octolens is the better fit. Xpoz is stronger for on-demand research queries than for always-on monitoring.
Does Octolens have a free tier like Xpoz?
No, Octolens offers a time-limited free trial rather than an ongoing free plan, and the first paid tier starts at $159/month. Xpoz has a genuine free tier with 2,500 credits, which is enough to test real query results before paying anything.
Can Xpoz monitor GitHub or Hacker News mentions the way Octolens does?
No, Xpoz's coverage is limited to Twitter, Instagram, TikTok, and Reddit. If developer-community sources like GitHub issues or Hacker News threads matter to your monitoring strategy, Octolens covers them and Xpoz does not.
How does Xpoz's credit pricing compare to Octolens's flat monthly fee in practice?
Xpoz charges credits per query, so light or occasional usage can stay near the free tier or the $20/month Pro plan, while heavy continuous querying can burn through credits quickly. Octolens charges a flat $159/month regardless of volume, which is more predictable for teams that query constantly but a worse deal for teams that only check in occasionally.
Do both tools support MCP for use inside Claude or Cursor?
Yes, both Octolens and Xpoz ship an MCP server that exposes their respective data as a queryable tool inside Claude, Cursor, or any other MCP-compatible AI client. Xpoz includes MCP access on every plan including the free tier; Octolens gates MCP access to paid plans only.
Which tool is better for tracking competitor mentions across TikTok and Instagram?
Xpoz, since TikTok and Instagram are two of its four covered platforms and Octolens does not index either one. Octolens's strength is community and developer platforms like Reddit and GitHub, not visual consumer social apps.