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Get Started Free →hashgraph-online/seo-dataforseo
Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed.
Passed 16 of 19 test cases with the skill, and 4 of 19 without it.
and 17 more in the full report
14 fixed5 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
What specific slash command retrieves today's spending breakdown for DataForSEO usage?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies /seo dataforseo costs today as the command for daily spending breakdown | Missed | Passed |
The instructions your model reads when the skill loads.
Live search data via DataForSEO API credentials. Provides real-time SERP results (organic + images), keyword metrics, backlink profiles, on-page analysis, content analysis, business listings, AI visibility checking, and LLM mention tracking across 10 API modules. MCP tools may be used when already configured, but are not required.
Set credentials in the selected project .env:
DATAFORSEO_USERNAME=your-login
DATAFORSEO_PASSWORD=your-password
DATAFORSEO_LOGIN is also accepted as an alias for DATAFORSEO_USERNAME.
The extension installer and MCP server are optional for users who already
prefer MCP.
Check availability: First check for DATAFORSEO_USERNAME or DATAFORSEO_LOGIN plus DATAFORSEO_PASSWORD in the selected project environment. Use python scripts/dataforseo_api.py ... or specialized scripts for direct API calls. If an optional DataForSEO adapter is already available, you may use it quietly, but do not require MCP setup or spend context inventorying MCP servers unless the user asks.
DataForSEO charges per API call. Be efficient:
Before every DataForSEO API call, run cost estimation:
python3 scripts/dataforseo_costs.py check <endpoint> [--count N]
"status": "approved" → proceed with the API call"status": "needs_approval" → show the cost estimate to the user and ask for confirmation before proceeding"status": "blocked" → inform the user that the daily budget limit would be exceeded; do NOT proceedtest cases passed, vs 4 / 19 without
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