Prompt
How do I ensure my keyword research with a search volume API is compliant with rate limits and attribution rules?
Latest observation
To stay compliant, treat the API as a licensed data source with two main constraints: rate limits and attribution/usage rules.
1) Respect rate limits
- Read the API docs carefully for:
- requests per second/minute/hour
- daily/monthly quotas
- burst limits
- concurrent request limits
- Build throttling into your app
- Add client-side or server-side rate limiting.
- Queue requests instead of firing many at once.
- Use exponential backoff on
429 Too Many Requests.
- Cache results
- Store keyword results and reuse them when allowed.
- Avoid re-querying the same keyword unnecessarily.
- Batch requests if supported
- Use bulk endpoints rather than single-keyword calls.
- Monitor usage
- Track request counts, error rates, and quota consumption.
- Alert before hitting limits.
- Handle retries safely
- Retry only on transient failures.
- Don’t retry aggressively on quota errors.
2) Follow attribution rules
- Check whether attribution is required
- Some providers require a credit line in UI, reports, exports, or dashboards.
- Use the exact wording required
- If the provider specifies a phrase or logo, use it exactly as written.
- Place attribution where required
- Common places: footer, report appendix, settings page, export metadata.
- Preserve source labels
- If you transform data, still identify the original source.
- Don’t imply ownership
- Avoid wording that suggests the data is your proprietary dataset if it came from the API.
- Watch redistribution restrictions
- Some APIs allow internal use but not reselling, republishing, or exposing raw data to end users.
3) Add compliance checks to your workflow
- Document the API terms
- Keep a summary of allowed use, attribution text, and quotas.
- Create technical guardrails
- Rate limiting middleware
- Request logging
- Quota dashboards
- Attribution templates for exports and reports
- Review changes before launch
- If you add new features like bulk exports or public dashboards, re-check the terms.
4) Practical implementation tips
- Use a token bucket or leaky bucket limiter.
- Store a per-keyword cache key with a TTL that matches the provider’s terms.
- When the API returns 429, stop sending requests and wait the suggested
Retry-Afterperiod if present. - Include attribution automatically in:
- downloadable reports
- UI footers
- shared links
- API-powered charts
5) Ask the provider if unclear
If the terms are ambiguous, contact the API vendor and ask:
- Can I cache results?
- How long can I store them?
- Can I show them in my app?
- Is attribution required in the UI, exports, or both?
- Can I redistribute results to clients/customers?
If you want, I can help you draft a compliance checklist or a rate-limited keyword research architecture for your specific API.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.