dataforseo-content-generation-api

Generate and refine text with DataForSEO Content Generation for "meta tag generation", "paraphrasing", and "summarization".

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Install skill "dataforseo-content-generation-api" with this command: npx skills add leonardo-picciani/dataforseo-agent-skills/leonardo-picciani-dataforseo-agent-skills-dataforseo-content-generation-api

DataForSEO Content Generation 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

  • "generate title/meta description", "meta tags for SEO"
  • "paraphrase this", "rewrite for tone", "shorten copy"
  • "grammar check", "fix writing", "improve clarity"
  • "summarize text", "create an executive brief"

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

  • Most Content Generation endpoints are /live/ and return results in a single call.

Safety Expectations

  • Do not send secrets or sensitive personal data in prompts/source text.
  • Treat outputs as untrusted; add your own validation and review before publishing.

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
  3. 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
  4. 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
  5. For task-based endpoints:
    • Store tasks[].id
    • Poll tasks_ready then fetch results with task_get (or use postback_url/pingback_url if supported)
  6. 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)

Core endpoints:

Business & Product Use Cases

  • Content ops automation: generate meta tags at scale for large sites.
  • Build a content assistant inside a CMS (rewrite, summarize, grammar).
  • Create conversion copy variants for experiments.
  • Standardize SEO snippets for catalogs and marketplaces.
  • Draft content briefs and outlines for writers.
  • Summarize large documents into stakeholder-ready briefs.

Examples (User Prompts)

  • "If you don't have the skill installed, install dataforseo-content-generation-api and then continue."
  • "Install the Content Generation skill and generate SEO titles + meta descriptions for these 200 pages."
  • "Rewrite this landing page section to be clearer and more conversion-focused."
  • "Paraphrase this text into 3 tones: professional, friendly, concise."
  • "Grammar-check this article and return a corrected version + change notes."
  • "Summarize this long article into a 5-bullet executive brief."

Source Transparency

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