# AlphAI vs Consensus

AlphAI records 232 monthly visits with 0% month-over-month growth and Freemium pricing. Consensus records 6,014,388 monthly visits with -1.2% growth and Freemium pricing.

| Metric | [AlphAI](https://openaitools.app/tool/alphaai) | [Consensus](https://openaitools.app/tool/consensus) |
| :--- | :--- | :--- |
| Website URL | https://alphai.io/developers | https://consensus.app |
| Categories | AI For Finance | AI Search Engine, AI Research Tool, AI Papers, AI Article Summarizer |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 232 | 6,014,388 |
| MoM Growth Rate | 0% | -1.2% |
| Primary Market | Global | United States |
| Direct Visits | 90 | 2,918,713 |
| Review Score | 4.1 | 4.7 |
| Saved Count | 0 | 31 |
| Supported Platforms | Website | Website |

## AlphAI

AlphAI sits between the global financial press and whatever consumes it — a trading bot, an internal dashboard, or an LLM agent that needs market context. Rather than handing over a raw news firehose, the service runs a four-stage pipeline: a GDELT-driven monitor and a SEC EDGAR tailer collect stories, an LLM pass scores each one 1-10 for relevance and writes per-ticker sentiment with reasoning, tickers are validated against active symbol lists, and only articles clearing the relevance floor are served. According to the vendor, fewer than one in five stories makes the cut.

The output is deliberately machine-readable. A single GET request to the news endpoint returns plain JSON with cursor pagination, and filters like symbol, category and min_relevance are applied server-side so irrelevant rows never cost you tokens. An official MCP server exposes the same feed as agent tools — news search, ticker feed, trending names, insider activity, economic calendar, macro and alerts — which makes it straightforward to wire into Claude Desktop, Cursor or a custom agent backend. Typed Python and TypeScript SDKs handle pagination, retries on 429/5xx and rate-limit inspection.

Pricing is tiered. The free plan includes the full website feed with unlimited daily reads plus a starter API and MCP allotment (20 requests per minute, 100 per day, one key) for non-commercial use. Basic and Pro subscriptions lift those limits, remove ads, extend archive depth and unlock commercial licensing, while an Enterprise tier covers custom volume, full-archive exports, data-syndication licensing and self-hosted deployments. Payments are handled by Stripe.

**Pricing & Plans:** Freemium. Free forever tier with the full website feed, a starter API/MCP allotment (20/min, 100/day) and a 30-day archive for personal, non-commercial use. Basic is listed at $2.99/month early-access ($7.99 standard) and Pro at $9.99/month early-access ($24.99 standard), each raising rate limits, extending archive depth and adding commercial-use rights. Enterprise covers custom volume, syndication licensing and self-hosting via contact.

- **Relevance scoring on every article:** An LLM pass assigns each story a 1-10 relevance score and a topic category, so you can filter at request time with the min_relevance parameter instead of post-processing noise.
- **Per-ticker sentiment with reasoning:** Stories are linked to the tickers they affect and annotated with sentiment, confidence and a written explanation — structured context an agent can hand straight to a model.
- **MCP server for agents:** An official Model Context Protocol endpoint exposes news search, ticker feeds, trending, insider activity, calendar, macro and alerts as callable tools for Claude Desktop, Cursor or custom agents.
- **SEC filing ingestion:** A worker tails SEC EDGAR for Form 4, 8-K and 6-K filings, turning insider trades and corporate events into feed rows within minutes rather than hours.
- **Official Python and TypeScript SDKs:** Typed clients cover pagination, 429/5xx retries, typed errors and rate-limit inspection, or you can stay with plain JSON over HTTPS and any HTTP client.

**Strengths:** Stories arrive pre-scored and ticker-linked, so the filtering work happens before your code or your token budget sees them; Both REST and MCP surfaces are served from the same feed, which suits traditional backends and LLM agents equally; Free tier is genuinely usable for evaluation, with no credit card required to get a key; Typed Python and TypeScript SDKs plus an OpenAPI 3.1 spec reduce integration friction

**Limitations:** Free plan is licensed for non-commercial use only, so any production or in-product deployment needs a paid tier; Requires sign-up and an API key even for the free allotment, and the API is server-side only with no CORS support; Coverage skews to US-listed tickers and mainstream financial press, which may not fit every market

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

## Consensus

Consensus works like a scholarly search engine supercharged by AI. Instead of returning a flat list of PDFs, you ask a natural-language research question and Consensus extracts claims from relevant papers, then shows you what the studies actually find. A Consensus Meter summarizes the weight of evidence for yes/no questions, so you can see at a glance whether scientists largely agree, disagree, or remain divided.

The platform indexes hundreds of millions of peer-reviewed papers spanning medicine, biology, psychology, economics and more. Answers link straight back to the source studies, and you can filter by study design, journal quality, sample size and publication year to separate stronger evidence from weaker signals. Features like Deep Search, Topic Synthesis and Skills let researchers build a working knowledge base over time rather than starting from scratch on every query.

Consensus is designed for researchers, clinicians, students and analysts who need trustworthy signals from the scientific record without drowning in irrelevant results. A free tier gives limited AI-powered searches each month, while paid plans unlock unlimited use, advanced filters and deeper synthesis.

**Pricing & Plans:** Freemium. A free tier offers a limited number of AI-powered searches per month; paid individual plans unlock unlimited searches and advanced research features, with discounted student pricing and team/enterprise options.

- **Evidence-grounded answers:** Ask a research question in plain language and get answers synthesized from peer-reviewed studies, with each claim linked to its source paper.
- **Consensus Meter:** A visual summary shows how the scientific literature leans on a yes/no question, indicating agreement, disagreement or mixed evidence.
- **Powerful filters:** Narrow results by study design, sample size, journal quality, publication year and more to prioritize high-quality evidence.
- **Topic synthesis and Deep Search:** Aggregate findings across many studies into structured summaries that map what is known and where the gaps are.
- **Research workspace:** Save papers, organize sources and build a persistent knowledge base for literature reviews and ongoing projects.

**Strengths:** Answers cite real peer-reviewed papers, so claims are verifiable; Consensus Meter makes it easy to gauge scientific agreement at a glance; Rich filters help separate high-quality evidence from weaker studies; Fast, clean interface designed around research workflows

**Limitations:** Free tier caps the number of AI-assisted searches per month; Coverage is strongest for STEM and health fields, lighter for some humanities topics; It guides you toward sources but is not a substitute for reading full papers

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

## Frequently Asked Questions

### How do AlphAI and Consensus compare in monthly traffic?

AlphAI has 232 monthly visits, while Consensus has 6,014,388. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AlphAI has a month-over-month growth rate of 0%; Consensus has -1.2%.

### How does pricing compare?

AlphAI: Freemium. Freemium. Free forever tier with the full website feed, a starter API/MCP allotment (20/min, 100/day) and a 30-day archive for personal, non-commercial use. Basic is listed at $2.99/month early-access ($7.99 standard) and Pro at $9.99/month early-access ($24.99 standard), each raising rate limits, extending archive depth and adding commercial-use rights. Enterprise covers custom volume, syndication licensing and self-hosting via contact. Consensus: Freemium. Freemium. A free tier offers a limited number of AI-powered searches per month; paid individual plans unlock unlimited searches and advanced research features, with discounted student pricing and team/enterprise options.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Covers general web sources alongside academic papers, but lacks specialized scientific synthesis metrics and consensus ratings. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 2 | [Semantic Scholar](https://openaitools.app/tool/semantic-scholar) | 8,198,672 | +5.8% | Free | Completely free access to a massive scholarly index, but offers less automated natural-language evidence synthesis than Consensus. | [.md](https://openaitools.app/tool/semantic-scholar.md) |
| 3 | [Kagi Search](https://openaitools.app/tool/kagi-search) | 4,647,605 | +3.2% | Free Trial, Paid | A paid, ad-free search engine that answers to its users | [.md](https://openaitools.app/tool/kagi-search.md) |
| 4 | [SciSpace](https://openaitools.app/tool/scispace) | 4,464,111 | +8.6% | Freemium | Provides deeper PDF reading and interactive literature analysis tools, but is less focused on quick evidence aggregation. | [.md](https://openaitools.app/tool/scispace.md) |
| 5 | [Elicit](https://openaitools.app/tool/elicit) | 1,751,507 | +3.1% | Freemium | Performs advanced systematic review data extraction and evidence synthesis, but has a more complex interface than Consensus. | [.md](https://openaitools.app/tool/elicit.md) |
| 6 | [Jenni](https://openaitools.app/tool/jenni) | 1,498,133 | +5.2% | Freemium | The AI workspace where researchers read, write, and cite with every claim traceable to its source | [.md](https://openaitools.app/tool/jenni.md) |
| 7 | [Rayyan](https://openaitools.app/tool/rayyan) | 1,116,437 | +7.9% | Freemium | AI-assisted systematic review software for screening, extraction, and evidence synthesis at scale | [.md](https://openaitools.app/tool/rayyan.md) |
| 8 | [LuxAlgo](https://openaitools.app/tool/luxalgo) | 985,376 | +9.8% | Freemium, Free Trial, Paid | AI trading indicators, real-trade orderflow and charts in one platform | [.md](https://openaitools.app/tool/luxalgo.md) |
| 9 | [Scite](https://openaitools.app/tool/scite) | 841,974 | +1.1% | Free Trial, Contact for Pricing | Tracks how papers are cited with Smart Citations to gauge reliability, but features a less direct Q&A synthesis. | [.md](https://openaitools.app/tool/scite.md) |
| 10 | [ResearchRabbit](https://openaitools.app/tool/researchrabbit) | 831,571 | +3.1% | Free | Excellent for visual citation mapping and literature discovery, but lacks automated paper Q&A and evidence synthesis. | [.md](https://openaitools.app/tool/researchrabbit.md) |

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Source: https://openaitools.app/compare/alphaai-vs-consensus

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