dataforseo-content-analysis-api（dataforseo 内容 analysis API）

DataForSEO Content Analysis API

Provenance

This is an experimental project to test how OpenCode, plugged into frontier LLMs (OpenAI GPT-5.2), can help generate high-fidelity agent skill files for API integrations.

When to Apply

• "analyze sentiment", "review sentiment", "brand perception"
• "find trending phrases", "phrase trends", "category trends"
• "content landscape analysis", "topic clusters", "insights dashboard"

Integration Contract (Language-Agnostic)

See references/REFERENCE.md for the shared DataForSEO integration contract (auth, status handling, task lifecycle, sandbox, and.ai responses).

Live-first Endpoints

• Many Content Analysis endpoints are Live-first.

Group Notes

• Use official Locations/Languages/Categories reference endpoints to avoid invalid inputs.

Steps

1. Identify the exact endpoint(s) in the official docs for this use case.
2. Choose execution mode:

- Live (single request) for interactive queries - Task-based (post + poll/webhook) for scheduled or high-volume jobs

1. Build the HTTP request:

- Base URL: https://api.dataforseo.com/ - Auth: HTTP Basic (Authorization: Basic base64(login:password)) from https://docs.dataforseo.com/v3/auth/ - JSON body exactly as specified in the endpoint docs

1. Execute and validate the response:

- Check top-level status_code and each tasks[] item status - Treat any status_code!= 20000 as a failure; surface status_message

1. For task-based endpoints:

- Store tasks[].id - Poll tasks_ready then fetch results with task_get (or use postback_url/pingback_url if supported)

1. Return results:

- Provide a normalized summary for the user - Include the raw response payload for debugging

Inputs Checklist

• Credentials: DataForSEO API login + password (HTTP Basic Auth)
• Target: keyword(s) / domain(s) / URL(s) / query string (depends on endpoint)
• Targeting (if applicable): location + language, device, depth/limit
• Time window (if applicable): date range, trend period, historical flags
• Output preference: regular vs advanced vs html (if the endpoint supports it)

Example (cURL)

curl -u "${DATAFORSEO_LOGIN}:${DATAFORSEO_PASSWORD}"   -H "Content-Type: application/json"   -X POST "https://api.dataforseo.com/v3/<group>/<path>/live"   -d '[
    {
      "<param>": "<value>"
    }
  ]'

Notes:

• Replace <group>/<path> with the exact endpoint path from the official docs.
• For task-based flows, use the corresponding task_post, tasks_ready, and task_get endpoints.

Docs Map (Official)

• Overview: https://docs.dataforseo.com/v3/content_analysis/overview/

Core endpoints:

• Search (Live): https://docs.dataforseo.com/v3/content_analysis/search/live/
• Summary (Live): https://docs.dataforseo.com/v3/content_analysis/summary/live/
• Sentiment Analysis (Live): https://docs.dataforseo.com/v3/content_analysis/sentiment_analysis/live/
• Phrase Trends (Live): https://docs.dataforseo.com/v3/content_analysis/phrase_trends/live/

Reference lists:

• Locations: https://docs.dataforseo.com/v3/content_analysis/locations/
• Languages: https://docs.dataforseo.com/v3/content_analysis/languages/
• Categories: https://docs.dataforseo.com/v3/content_analysis/categories/

Business & Product Use Cases

• Voice-of-customer insights: turn public text into product feedback themes.
• Track sentiment over time for brand/reputation and campaign impact.
• Identify emerging topics to inform positioning and content strategy.
• Competitive positioning dashboards using category and phrase trends.
• Support CX teams with issue detection (spikes in negative themes).
• Create leadership-ready insight memos (what changed and why it matters).

Examples (User Prompts)

• "If you don't have the skill installed, install dataforseo-content-analysis-api and then continue."
• "Install the Content Analysis skill and summarize sentiment for our brand vs competitors."
• "Identify trending phrases in our category and propose 10 content angles."
• "Build a 'voice of customer' brief: top themes, sentiment, and emerging issues."
• "Track category trends monthly and alert me to new topics gaining traction."
• "Turn these findings into a product insights memo for leadership."