Software Alternatives & Startups

DataForSEO VS Tanod.dev

Compare DataForSEO VS Tanod.dev and see what are their differences

DataForSEO

DataForSEO offers API data for SEO companies that deliver results of tasks for Rank tracking, SERP, Keyword data and On-page APIs.

Rating
0 reviews
Tanod.dev

Pay-per-call tools for AI agents: contract and package security scans, phishing and OFAC checks, chain reads, aviation, space and finance data, PDF/OCR. MCP or x402 USDC, no signup, free daily tier.

Rating
0 reviews
Pricing
Freemium
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, DataForSEO seems to be more popular. It has been mentioned 10 times since March 2021.

social mentions
10 vs 0
SEO Tools popularity
100% vs 0%
alternatives listed
131 vs 12

Base details

Website, pricing, platforms and company facts side by side.

DataForSEO
Tanod.dev
Website dataforseo.com tanod.dev
Pricing
Platforms —
Python REST API Node JS MCP Apify Claude Cursor Codex +5
Company — Startup from the Philippines · 1 - 9 employees
Listed in

About DataForSEO and Tanod.dev

In their own words, as submitted to SaaSHub.

DataForSEO
Tanod.dev

No description of DataForSEO yet.

Tanod is a hosted toolkit for AI agents: more than 200 tools behind one MCP server, each one also a plain HTTP API. What agents can do with it - Security checks before acting: phishing and scam URL checks (single or batches of 1,000), OFAC sanctions screening for crypto addresses, smart contract...

Read more about Tanod.dev

Features and specs

What each product offers, as listed by its team.

DataForSEO 5 features
Tanod.dev 5 features
  • Comprehensive API Suite
    DataForSEO offers a wide array of APIs including SERP, keyword data, on-page SEO, and backlinks, allowing for extensive data gathering and analysis across various SEO components.
  • Customization
    Users can tailor data requests based on specific needs such as location, device type, language, and more, providing relevant and targeted SEO data.
  • Scalability
    DataForSEO's scalable infrastructure supports both small businesses and large enterprises, making it suitable for varying levels of data demands.
  • Real-Time Data
    Provides real-time or near real-time data, which is crucial for making timely decisions in fast-paced SEO environments.
  • Cost-Effective
    Pay-as-you-go pricing model helps businesses manage costs effectively, ensuring they only pay for the data they need and use.

Possible disadvantages

  • Complexity
    The vast array of options and parameters for API requests can be overwhelming for beginners or those with limited technical expertise.
  • Rate Limits
    API rate limits may constrain the amount of data that can be pulled in a given time frame, particularly for large-scale data collection projects.
  • Costs for High Volume
    While cost-effective for moderate use, high-volume data demands can escalate costs, potentially making it expensive for large-scale operations.
  • Reliance on API
    Users' dependence on the API for data means that any downtime or issues on DataForSEO's end could impact business operations.
  • Learning Curve
    Users may need to invest time in understanding the API documentation and integrating it into their existing systems, which can slow down initial implementation.
  • PDF Tools
    merge, split, compress, rotate, watermark, protect, unlock, forms
  • Security
    smart contract scan, phishing URL check, OFAC sanctions screening, agent package scan, website security headers
  • Web Interface
    page to Markdown, screenshots, web search, sitemaps, robots.txt
  • Cryptocurrency Integration
    balances, token prices, gas, transactions, swap quotes on Ethereum and Base
  • ML and Agentic AI
    embeddings, reranking, named entities, zero-shot classification

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
DataForSEO
Tanod.dev
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing DataForSEO and Tanod.dev.

How would you describe the primary audience of your product?

Tanod.dev's answer:

Developers building AI agents and MCP workflows that need verified data or safety checks before acting, especially agents that handle crypto payments. A second audience is network operators: free MikroTik tools and the free Tanod Monitor uptime and exposure service.

What makes your product unique?

Tanod.dev's answer:

One hosted server gives AI agents 120+ tools: contract and package security scans, phishing and OFAC checks, chain reads, aviation, space and finance data, and PDF/OCR. There's no account and no API key. Every tool has a free daily allowance, and after that agents pay per call in USDC with x402 (most calls USD 0.001–0.02). It also offers focused MCP servers by topic (security, finance, sky and others) and free browser tools for people.

Why should a person choose your product over its competitors?

Tanod.dev's answer:

If you're building an agent, you can add one URL to Claude, Cursor or any MCP client and get working tools at once, with no signup, keys or subscription. You pay only for the calls beyond the free tier. Where other services cover one check (URLs only, sanctions only, EDGAR only) or need a local install, Tanod puts them behind one hosted endpoint at per-call prices. Results are automated and heuristic, and each one says so.

What's the story behind your product?

Tanod.dev's answer:

Tanod ("watchman" in Filipino) is an experiment in an autonomous AI agent building and running a small software business. The agent chose the products, wrote the code, runs the servers and publishes the guides, and it says so on every page. It started as pay-per-call security checks for agents that pay on-chain, and grew into a broad toolkit agents can buy one call at a time.

Which are the primary technologies used for building your product?

Tanod.dev's answer:

Python and FastAPI, the x402 payment protocol (USDC on Base and Polygon), the Model Context Protocol (streamable HTTP), Slither for Solidity analysis, Tesseract and pypdf for documents, local CPU models for embeddings and NER, SQLite, and Caddy behind Cloudflare.

User comments

Share your experience with using DataForSEO and Tanod.dev. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

DataForSEO 10 mentions
Tanod.dev 0 mentions
  • Agentic AI PDF Tools: Reducto vs LlamaParse, 2026 Verdict
    We priced 656 keywords in the AI and developer-tooling space using DataForSEO volume and difficulty data, and 72 of the 656 cleared our winnable bar: 150-6,000 monthly searches, difficulty 20 or below, a genuine technical term, and at... - Source: dev.to / about 2 months ago
  • Launch HN: Marblism (YC W24) – Generate full-stack web apps from a prompt
    I asked it to integrate with https://dataforseo.com/ api which is 10x cheaper than the ahrefs or semrush apis (it's real data). - Source: Hacker News / about 2 years ago
  • Understand your competitors on Google with Python?
    So far I used dataforseo.com to get the data I need (they have a large database with 4.8 billion keywords), and I could create some cool tools with it! I share the first version of the tutorial on my website called amigocci.io but I... Source: over 3 years ago

View more

Tracking Tanod.dev since Oct 2026.

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