Awario vs Xpoz in 2026: Continuous multi-source monitoring vs on-demand AI-native queries
Awario runs a continuous crawl across social, news, blogs, forums, and reviews from €29 a month. Xpoz swaps continuous alerting for natural-language, credit-based queries across four social platforms, with an MCP server that plugs straight into Claude or Cursor, free to start.
Awario
Xpoz- Xpoz answers questions in plain English with no Boolean syntax to write. Awario relies on Boolean search (AND, OR, NOT) for the same precision-filtering job.
- Xpoz ships an MCP server on every tier, letting you query its 1.5B+ post database directly from Claude, Cursor, or any MCP-compatible AI client. Awario has no MCP integration or equivalent AI-native interface.
- Awario covers ten source types including news, blogs, forums, and reviews. Xpoz covers four consumer social platforms only: Twitter, Instagram, TikTok, and Reddit.
- Xpoz has a permanent Free tier with 2,500 monthly credits. Awario's free access is a time-limited trial, not an ongoing free plan.
- Awario offers white-label reports starting on its Pro plan at €89/month. Xpoz has no white-label or client-sharing tier at any price.
- Awario is built for continuous, persistent monitoring with real-time alerts. Xpoz is built for on-demand, credit-metered queries and has no equivalent to persistent alerting.
Awario and Xpoz approach brand monitoring from opposite directions. Awario runs a persistent crawl across ten source types, tags every mention for sentiment, and alerts you as things happen, priced from €29 a month with a free trial. Xpoz drops the persistent-crawl model entirely: you ask a question in plain English, spend credits to get an answer from its 1.5-billion-post database, and the results are queryable directly inside Claude or Cursor through an MCP server. Xpoz has a genuinely free tier and covers Twitter, Instagram, TikTok, and Reddit; it does not do continuous alerting, white-label delivery, or news and review monitoring the way Awario does. Which one fits depends on whether your team needs to be told the moment something happens, or just needs an answer when it asks.
The tools at a glance
Awario
Brand monitoring and social listening across social media, news, blogs, forums, and reviews.
Awario tracks a brand, keyword, or competitor across X, Facebook, Instagram, Reddit, YouTube, Vimeo, news sites, blogs, forums, and review platforms continuously, organized by topic in a single dashboard. The roughly 13-billion-page-per-day crawl means new mentions show up within minutes of publication, each one tagged for sentiment and scored for reach.
Filtering out noise from a common brand name is a Boolean-search job here: AND, OR, NOT, and exact-phrase matching are all supported, and once a topic is configured it keeps running without further input. Pro and Enterprise plans add white-label reports and API access, useful for agencies delivering monitoring as an ongoing client service.
Awario has no natural-language query interface and no way to pull its data into an AI coding environment. Every interaction happens through its own dashboard, exported reports, or a paid API. For a team that wants to ask a question and get an answer without learning the platform, that is a real friction point next to Xpoz's approach.
| Feature | Starter €29/mo (annual) / €49/mo | Pro €89/mo (annual) / €149/mo | Enterprise €249/mo (annual) / €399/mo |
|---|---|---|---|
| Topics | 3 | 15 | 100 |
| New mentions / mo | 30,000 | 300,000 | 1,000,000 |
| Team members | 1 | 10 | Unlimited |
| White-label reports | No | Yes | Yes |
| API access | No | Yes | Yes |
| Free trial | 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 by typing a question in plain English rather than constructing a Boolean search. Ask what people are saying about a competitor or a category pain point, and it returns relevant posts with sentiment, engagement data, and context attached, ranked by relevance rather than recency.
The feature that sets it apart is the MCP server: it exposes Xpoz's query capability as a tool inside Claude, Cursor, or any other MCP-compatible AI environment, so a product manager can pull social data into a research conversation without switching to a separate dashboard. Billing runs on credits consumed per query, starting with a genuinely free tier of 2,500 credits before paid plans kick in at $20 a month.
What Xpoz gives up for that flexibility is persistence. There is no continuous background monitoring in the sense Awario or a dedicated alerting tool provides, no white-label option for agencies, and no coverage beyond its four platforms, so GitHub, Hacker News, news sites, and review platforms are all outside its reach. It is built for research sprints, not always-on monitoring.
| 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 |
| White-label / client sharing | No | No | No |
Head-to-head feature comparison
| Feature | Awario | Xpoz |
|---|---|---|
| Sources / platforms covered | X, Facebook, Instagram, Reddit, YouTube, Vimeo, news, blogs, forums, reviews | Twitter/X, Instagram, TikTok, Reddit |
| Query interface | Boolean search (AND, OR, NOT), saved topics | Natural language queries, no Boolean syntax required |
| MCP / AI-client integration | No | Yes, MCP server works with Claude, Cursor, and other MCP-compatible clients |
| Continuous real-time alerting | Yes, continuous crawl surfaces mentions within minutes | No, built for on-demand queries rather than persistent alerting |
| Sentiment analysis | Yes, positive/negative/neutral tagging | Yes, sentiment and relevance scoring on results |
| Competitor tracking | Yes, topic slots pointed at competitors | Yes, brand and competitor queries ranked by relevance |
| API access | Yes, Pro plan (€89/mo annual) and above | Yes, REST API on every tier including Free |
| White-label / client sharing | Yes, Pro plan (€89/mo annual) and above | No white-label or client-sharing tier at any level |
| Free tier | Free trial, no credit card, not a permanent free plan | Yes, permanent Free tier with 2,500 credits |
| Pricing model | Flat monthly fee per workspace, tiered by topics and mention volume | Credit-based, consumption scales with query volume |
| Team seats | 1 (Starter) up to unlimited (Enterprise) | Not seat-limited, credit-limited instead |
| Starting price | €29/mo (annual) | $0 (Free tier, 2,500 credits) |
Which should you choose?
AwarioXpozAwarioXpozAwarioXpozAwarioThe honest way to frame this is continuous versus on-demand. Awario is always running in the background, watching ten source types and pushing sentiment-tagged mentions into a dashboard whether or not anyone is looking. Xpoz sits idle until you ask it something, then spends credits to answer that one question well, in plain English, and lets that answer flow straight into an AI coding or research workflow through its MCP server. Neither model is wrong, but picking the wrong one wastes money: paying for Awario's continuous crawl when you only research sporadically is overkill, and trying to run always-on brand monitoring through Xpoz's credit meter will get expensive and still miss the persistent-alerting piece it was never built for.
Bottom line
Pick Xpoz if your team researches in bursts, wants a natural-language interface with no query syntax to learn, and is already working inside Claude or Cursor where the MCP server actually saves time; the free 2,500-credit tier is enough to validate that before spending anything. Pick Awario if you need to know about a mention the moment it happens, want sentiment and reach data without asking for it, or need coverage of news, blogs, and reviews that Xpoz's four-platform scope does not reach. Agencies should default to Awario regardless of workflow preference, since Xpoz has no white-label option at any tier and cannot support client-facing delivery.
Frequently asked questions
Can Xpoz replace Awario for continuous brand monitoring?
Not really, Xpoz is built for on-demand queries rather than persistent alerting, so it lacks the always-on monitoring that Awario provides by default. You can run recurring searches manually, but there is no equivalent to Awario's continuous crawl that pushes new mentions to you as they happen.
What can I do with the Xpoz MCP server that I cannot do with Awario?
The MCP server lets you query Xpoz's 1.5 billion post database directly from inside Claude, Cursor, or any MCP-compatible AI client, so a question like "what are people saying about this competitor on Reddit" returns structured results inside your existing conversation. Awario has no MCP integration; every interaction with its data happens through its own dashboard, exported reports, or a separate paid API call.
Is Xpoz's free tier actually usable, or just a limited trial like Awario's?
Xpoz's Free tier is a genuinely ongoing plan with 2,500 monthly credits, not a time-boxed trial, so you can keep using it at low volume indefinitely. Awario's free access, by contrast, is a trial period with no credit card required but is not structured as a permanent free plan.
Does Awario cover more platforms than Xpoz?
Yes, Awario covers ten source types including news sites, blogs, forums, and reviews alongside social media, while Xpoz is limited to four platforms: Twitter, Instagram, TikTok, and Reddit. If your monitoring needs include press coverage or review sites, Xpoz's scope will not reach them.
Which tool is better for an agency that needs to deliver white-label reports to clients?
Awario is the only option between the two, offering white-label reports starting on its Pro plan at €89/month annual. Xpoz has no white-label or client-sharing tier at any price point, which rules it out for agency delivery regardless of how useful its query interface is internally.
How does Xpoz's credit pricing compare to Awario's flat monthly fee for a heavy monitoring workload?
Xpoz's credit model gets expensive fast under continuous high-volume monitoring since every query and data pull consumes credits, which its own product documentation flags as a limitation. Awario's flat monthly fee per workspace is more predictable for sustained, high-volume monitoring, since the cost does not scale with how often you check for new mentions.