Definition
Agent failed to fetch is an error state where an AI agent's attempt to retrieve web data (search results, page content, API responses) fails silently or with a generic error, typically caused by rate limiting (429), authentication failure, provider outage, or network timeout.
In Depth
The 'failed to fetch' error is one of the most common failure modes in production AI agents. Root causes by frequency: (1) Rate limiting (429 errors) -- the agent sends too many requests too quickly. Fix: implement exponential backoff or switch to a provider with higher rate limits. (2) Auth expiry -- API keys rotated or tokens expired. Fix: check credentials, implement key rotation alerts. (3) Provider outage -- the search provider is temporarily down. Fix: implement a fallback chain with 2-3 providers. (4) Timeout -- the search provider is slow (>10s) and the agent's HTTP client times out. Fix: increase timeout or use async search with polling. (5) CORS/network -- the agent runs in a browser context where CORS blocks the request. Fix: proxy through a backend. For agents using built-in LLM search (Gemini grounding, Perplexity), 429 errors have been particularly common in 2026 during peak usage. External search APIs like Scavio ($0.005/query), SerpAPI ($25-$150/mo), or TinyFish AI (free tier) provide a reliable fallback that the agent controls directly. Implementation pattern: wrap the primary search call in try/catch, on failure retry once with backoff, on second failure route to fallback provider, log the failure for monitoring.
Example Usage
A customer-support agent using Gemini's built-in grounding fails 12% of searches during business hours due to 429 rate limits. The team adds Scavio as a fallback: on Gemini 429, the agent calls Scavio instead. Failure rate drops to 0.3% (only when both providers are down simultaneously). Monthly fallback cost: $18 for the 3,600 queries that hit the fallback.
Platforms
Agent Failed to Fetch is relevant across the following platforms, all accessible through Scavio's unified API: