Trend data API pricing is rarely what it appears. SerpApi charges per request with expiring credits. Meltwater and Brandwatch require enterprise contracts with no public pricing. Exploding Topics locks the API behind higher-tier plans. This page breaks down the true cost of each major trend data option in 2026 - including what you get per dollar, what expires, and what the hidden costs are.
Most trend data tools obscure their true cost - per-request models with expiring credits, enterprise tiers requiring annual contracts, free tiers limited to browser usage with no API access. This comparison lays out actual pricing for the most commonly used options in 2026, with specific attention to where costs scale unexpectedly.
Price: $0.
Model: Open-source Python library, no commercial product.
What you get: Google Search trend data (relative 0-100), related queries, geographic breakdowns. Weekly or daily data going back 5 years.
Hidden costs: Developer time. pytrends breaks when Google changes its frontend - typically 1-4 times per year. Fixing a broken pipeline or waiting for a community patch has a real time cost. Rate limiting (429 errors) at moderate volumes requires exponential backoff logic and delays. Data is relative-only, so calibration to absolute volume requires additional data sources and engineering.
Rollover: N/A (no credits).
Verdict: Genuinely free, but not free of cost. The engineering overhead and reliability risk have a real price that grows with usage volume and business criticality.
Price:
- $25/month - 1,000 searches/month
- $75/month - 5,000 searches/month
- $150/month - 15,000 searches/month
- $250/month - 30,000 searches/month
Note: "searches" applies across all of SerpApi's endpoints. Google Trends queries use the same credit pool as Google Search, Shopping, etc.
Model: Per-request credits, billed monthly. No rollover - unused credits expire each billing cycle.
What you get: Google Trends data only (interest over time, interest by region, related topics, related queries). Same relative 0-100 data as the native Google Trends interface. No absolute volume. Clean JSON output.
Hidden costs: The no-rollover policy. A team running 500 queries one month and 1,200 the next either overpays on the 500-query month or overages on the 1,200-query month. Variable-volume workflows consistently pay more than the nominal tier cost. The 100-credit free trial requires a credit card and expires - it is not an ongoing free tier.
Effective cost per Google Trends query: ~$0.015 at the $75/month tier, rising to ~$0.025+ for variable-usage teams due to expired credits.
Rollover: None.
Verdict: Reliable and well-maintained. Worth the price for production REST pipelines that need consistent Google Trends JSON. The no-rollover policy significantly raises effective cost for research teams with variable query volumes.
Price:
- Free plan - limited weekly searches (typically 5-10)
- Pro plan - $49/month
- Team plan - $99/month
Model: Subscription. No API access on any public plan as of 2026.
What you get: Browser extension that adds absolute volume overlays to Google Trends. No programmatic access - data is displayed in the browser and can be exported manually from Pro plans.
Hidden costs: Entirely browser-based. No API means no automation - every query is a manual interaction in Chrome. Not usable for pipelines, notebooks, or AI agents.
Rollover: N/A (subscription, not credits).
Verdict: Good value at $49/month for SEO and content teams who live in Google Trends. Zero value for any programmatic or AI-native use case - the lack of API access is a hard constraint.
Price:
- Free plan - limited topic browsing
- Entrepreneur - $39/month
- Investor - $99/month
- API access - available on Investor plan and above
Model: Subscription. API access on higher tiers.
What you get: Curated database of trending topics. API on $99+ plans returns data from the curated dataset - no arbitrary keyword queries. Google Search-centric with limited additional sources.
Hidden costs: The curated model means you can only get trends for topics the Exploding Topics editorial team has identified. High-specificity keyword queries (niche products, regional terms, emerging jargon) are unlikely to be in the dataset. API access requires the $99/month Investor plan - the $39/month plan has no programmatic access.
Effective cost per trend data point: $99+/month for API access to a curated set of topics. No per-query pricing.
Rollover: N/A (subscription).
Verdict: Best for trend discovery (finding topics you did not know to search for). Not designed for arbitrary keyword research. API access is expensive relative to what you get if your primary need is querying specific keywords.
Price: Enterprise contracts, no public pricing. Estimated $15,000-$120,000/year depending on tier and negotiation.
Model: Annual contracts with volume-based licensing. Require sales process.
What you get: Full social media monitoring and trend analytics platforms - news monitoring, social listening, audience analytics, and trend tracking as a component. Meltwater includes Google Search trend proxies; Brandwatch focuses on social signals.
Hidden costs: Annual commitment. Implementation and onboarding time (weeks, not days). These are enterprise platforms, not trend data APIs - the price includes features most users do not need.
Rollover: N/A (annual contract).
Verdict: Appropriate for enterprise media monitoring teams that need the full platform. Significantly overpriced for teams whose primary need is trend data queries.
Price:
- Free tier - 100 requests/day, permanently, no credit card
- Paid plans - subscription, see trendsmcp.ai for current tiers
Model: Subscription with daily or monthly request allocations. Free tier is permanent, not a trial.
What you get: Live trend data from 15+ sources (Google Search, TikTok, YouTube, Reddit, Amazon, Wikipedia, news, web traffic, app downloads, npm, Steam) via MCP or HTTP. Four tools: get_trends, get_growth, get_ranked_trends, get_top_trends. Absolute volume estimates. Data quality scores.
Hidden costs: None on the free tier. Paid plan pricing is subscription-based, not per-query with expiry.
Effective cost per data point: The get_growth tool with source='all' returns growth metrics across all 15+ platforms in one API call. One request delivers what would require 15+ separate SerpApi-equivalent calls. Effective cost per platform data point is substantially lower than single-source APIs.
Rollover: Free tier resets daily. Paid plan structure is subscription-based.
Verdict: Lowest true cost for multi-platform trend research. The only option with a permanent free tier that includes programmatic API access and MCP integration for AI agents.
| Tool | Starting price | Free tier | Credit expiry | Sources | API/MCP |
|---|---|---|---|---|---|
| pytrends | $0 | Yes (open-source) | N/A | Google only | Python lib |
| SerpApi | $25/month | Trial (100 credits, expires) | Monthly, no rollover | Google only | REST |
| Glimpse | $49/month | Limited (browser only) | N/A | Google only | None |
| Exploding Topics | $99/month (API) | Browse only | N/A | Primarily Google | REST |
| Meltwater | ~$15k+/year | No | N/A | Multi-platform | Enterprise |
| Brandwatch | ~$40k+/year | No | N/A | Multi-platform | Enterprise |
| Trends MCP | $0 (100 req/day) | Yes, permanent | N/A | 15+ sources | MCP + REST |
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