# AskNews vs Serpex

AskNews records 11,607 monthly visits with +97.3% month-over-month growth and Freemium, Paid, Contact for Pricing pricing. Serpex records 2,405 monthly visits with -34.3% growth and Freemium, Free Trial, Paid pricing.

| Metric | [AskNews](https://openaitools.app/tool/asknews) | [Serpex](https://openaitools.app/tool/serpex-dev) |
| :--- | :--- | :--- |
| Website URL | https://asknews.app | https://www.serpex.dev |
| Categories | AI News, AI API, Large Language Models (LLMs), AI Chatbot | AI API, AI Web Scraping, AI Developer Tools, AI Search Engine |
| Pricing Model | Freemium, Paid, Contact for Pricing | Freemium, Free Trial, Paid |
| Monthly Visits | 11,607 | 2,405 |
| MoM Growth Rate | +97.3% | -34.3% |
| Primary Market | United States | India |
| Direct Visits | 4,667 | 936 |
| Review Score | 4.6 | 4.3 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## AskNews

AskNews is a licensed news infrastructure platform designed for teams that need trustworthy news data inside their AI systems. Instead of scraping pages that break behind paywalls, AskNews resolves articles from hundreds of thousands of web sources and thousands of licensed news outlets into structured context that models can reason over directly. Every data point can arrive with enrichments such as Wikidata entities, geo-coordinates, sentiment, bias scores and key points, and real-time responses are delivered in under 100 milliseconds.

The platform is organized into a single toolbox that spans paywalled news, the open web, X, Wikipedia, Google, Reddit and podcasts, so developers avoid stitching together many separate integrations. Core capabilities include a real-time and historical News API, DeepNews (a multi-step self-learning research agent that iterates and verifies across sources), Alerts for scheduled monitoring and recurring reports, Storylines for tracking how narratives develop, and a knowledge graph that connects people, places and organizations over time.

AskNews is built for developers with REST APIs, Python, TypeScript and PHP SDKs, a CLI, and an MCP server that plugs the same tools into assistants and agent frameworks. Its site states it is used by organizations including the UK Cabinet Office, frontier AI labs, insurance, intelligence, private equity and hedge fund teams, and Ivy League institutions. The company advertises a 99.9% service SLA, roughly 500,000 new articles indexed daily, and more than 200 million historical articles in its archive. Plans range from free and self-serve tiers to enterprise pricing available on request.

**Pricing & Plans:** Freemium with paid tiers; a free tier and API access are available, and enterprise pricing is available by contacting sales. Check the pricing page for current limits and usage-based rates.

- **Real-Time and Historical News API:** Query breaking news in under 100 ms or search archived coverage across years and decades through one consistent API.
- **DeepNews Research Agent:** A multi-step, self-learning agent that iterates, branches and verifies across paywalled news, the open web, X, Wikipedia and more for deep research questions.
- **Alerts and Storylines:** Schedule monitoring of topics, companies and events, receive recurring reports, and follow how narratives evolve with analytics and change logs.
- **AI-Ready Enrichments and Knowledge Graph:** Each data point arrives with entities, geo-coordinates, sentiment, bias scores and key points, linked into a graph of relationships over time.
- **Developer Tooling: SDKs, CLI and MCP:** Python, TypeScript and PHP SDKs, a command-line tool, and an MCP server that connect AskNews directly to agents and assistants.

**Strengths:** Licensed news access plus open web sources in one API, avoiding per-source scrapers; Low-latency structured output with entities, sentiment and bias enrichments; Broad developer support: REST, SDKs, CLI and MCP for agent workflows; Free and self-serve tiers lower the barrier before enterprise commitments

**Limitations:** Licensed news coverage depends on publisher agreements and may vary by region; Pricing and usage limits are not fully transparent without checking the pricing page or sales; Deep research features can consume credits quickly for high-volume users

[Profile (Markdown)](https://openaitools.app/tool/asknews.md)

## Serpex

Serpex provides two core endpoints behind a single API key: a Search endpoint that returns live web results as structured JSON, and an Extract endpoint that converts any URL into clean, readable markdown for AI ingestion. A standard search consumes one credit, and pulling page content along with results lets teams go from discovery to ingestion without juggling a second scraping vendor.

The service is positioned around affordability and throughput. Its published tiers scale from roughly $0.80 per 1,000 requests on small top-ups down to around $0.50 per 1,000 on the $500 tier, with custom pricing for very high volume. Serpex advertises automatic fallback across multiple underlying search sources, so if one source returns nothing the request fails over to another, along with retries and per-source health monitoring.

For developers, there are SDKs and integrations for Python, JavaScript, MCP and LangChain, plus a REST API. New accounts receive free trial credits without a card, and credits are described as non-expiring with a short money-back window on purchases.

**Pricing & Plans:** Pay-as-you-go credit model with a free trial (200 free credits, no card). Published tiers: Starter ~$0.80 per 1,000 requests ($5 top-up), Standard ~$0.65 per 1,000 ($50 top-up) and Scale ~$0.50 per 1,000 ($500 top-up); enterprise volume from ~$0.20 per 1,000. Credits are non-expiring and only successful requests are billed.

- **Search API returning structured JSON:** Send a query and receive live web results as clean, structured JSON that is ready for parsing, ranking or feeding into a model.
- **Built-in content extraction:** Convert any URL into clean, readable markdown in the same API key, removing boilerplate so retrieved text is directly usable for RAG and summarization.
- **Automatic source fallback:** Requests are routed across multiple underlying search sources with health monitoring and automatic retries, so a single empty source does not break your pipeline.
- **Developer SDKs and integrations:** Official libraries and snippets for Python, JavaScript, MCP and LangChain make it a few lines of code to add live search to an agent or app.
- **Pay-as-you-go credits:** Only successful requests consume credits, credits do not expire, and volume discounts scale from small top-ups up to high-throughput plans.

**Strengths:** Search and extraction in one API key, reducing vendor sprawl; Competitive pay-as-you-go pricing with volume discounts; Credits never expire and failed requests are not billed; Automatic fallback and retries reduce pipeline fragility

**Limitations:** No ability to pin a specific search engine source; engine selection is handled automatically; Free tier is a credit-based trial rather than an unlimited free plan

[Profile (Markdown)](https://openaitools.app/tool/serpex-dev.md)

## Frequently Asked Questions

### How do AskNews and Serpex compare in monthly traffic?

AskNews has 11,607 monthly visits, while Serpex has 2,405. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AskNews has a month-over-month growth rate of +97.3%; Serpex has -34.3%.

### How does pricing compare?

AskNews: Freemium, Paid, Contact for Pricing. Freemium with paid tiers; a free tier and API access are available, and enterprise pricing is available by contacting sales. Check the pricing page for current limits and usage-based rates. Serpex: Freemium, Free Trial, Paid. Pay-as-you-go credit model with a free trial (200 free credits, no card). Published tiers: Starter ~$0.80 per 1,000 requests ($5 top-up), Standard ~$0.65 per 1,000 ($50 top-up) and Scale ~$0.50 per 1,000 ($500 top-up); enterprise volume from ~$0.20 per 1,000. Credits are non-expiring and only successful requests are billed.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Web data API that turns any site into clean, AI-ready content | [.md](https://openaitools.app/tool/firecrawl-dev.md) |
| 2 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | One API key for agent-grade web search, fetch, browsing and automation | [.md](https://openaitools.app/tool/tinyfish.md) |
| 3 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) |
| 4 | [Tavily](https://openaitools.app/tool/gpt-researcher) | 989,998 | -0.8% | Contact for Pricing | The real-time web access layer for AI agents and deep research | [.md](https://openaitools.app/tool/gpt-researcher.md) |
| 5 | [You.com](https://openaitools.app/tool/you) | 948,349 | +7% | Freemium | Search and inference APIs that give AI models real-time web data | [.md](https://openaitools.app/tool/you.md) |
| 6 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Web data infrastructure for scraping, proxies, and AI-ready datasets | [.md](https://openaitools.app/tool/bright-data.md) |
| 7 | [SERP API (Bright Data)](https://openaitools.app/tool/serp-api) | 802,752 | -5.9% | Paid, Contact for Pricing | Real-time search engine scraping API with structured JSON, HTML, or Markdown output | [.md](https://openaitools.app/tool/serp-api.md) |
| 8 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Search foundation built from embeddings, rerankers, and reader APIs | [.md](https://openaitools.app/tool/jina-ai.md) |
| 9 | [Thor Data](https://openaitools.app/tool/thor-data) | 181,966 | -3.5% | Free Trial, Paid | Proxies and web data APIs for scraping and AI pipelines | [.md](https://openaitools.app/tool/thor-data.md) |
| 10 | [Yep.com](https://openaitools.app/tool/yep-com) | 155,834 | +6.2% | Free | Independent web search and agent grounding API built on the Ahrefs index | [.md](https://openaitools.app/tool/yep-com.md) |

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Source: https://openaitools.app/compare/asknews-vs-serpex-dev

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)