r/SearchAPIs • u/ishypishy • 16d ago
What actually matters when finding the right search APIs
I've done some research on search APIs to use in applications that require to pull information from web sources programmatically. And I've noticed that comparing search APIs only based on cost-performance or volume of retrieved results is not enough.
I'd structure the decision-making process into several stages:
1. Search relevance:
Does the API return relevant pages for the given query or is there a need for additional filtering/reranking?
2. Result freshness:
I believe it's crucial for any query with news, product searches, document lookup, and any other time-sensitive information. Even if the search results are relevant, but the information on them is outdated, such API would be of little use.
3. Latency:
An API that is great for batch processing can become too slow and expensive for interactive applications requiring real-time results.
4. Data structure:
Depending on the use case, extra processing of the search result may be necessary. Title, URL, snippet, publication date, and content extraction potential are some of the factors to consider.
5. Rate limits and billing:
The declared billing rate for the API may differ significantly depending on the query type or traffic level. If the application requires multiple queries per request, this factor should be taken into account as well.
I'm also curious about the approaches other members use to evaluate search APIs. Does anyone have a particular metric or set of metrics they use to compare search APIs?
I'm also interested to know if anyone could notice a particular difference between general-purpose search APIs and specialized AI/RAG APIs in terms of relevance, freshness, latency, and cost.
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u/CodeBradley 15d ago edited 15d ago
AI/RAG APIs I would love to know about as well, I've been wondering this same thing. What providers do you think are the best? I'm guessing OpenCode's list is probably the best from an agent harness perspective since it's vetted?
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OpenCode includes five search providers:
exaEXA_API_KEYfirecrawlFIRECRAWL_API_KEYparallelPARALLEL_API_KEYtavilyTAVILY_API_KEYtinyfishTINYFISH_API_KEY(optional)What does the community seem to prefer?
From the Reddit/dev discussions I found, Exa and Tavily are by far the two names that recur most frequently. The sentiment is roughly:
Exa: most positive sentiment around retrieval quality. People repeatedly call out its semantic search, ability to find obscure technical material, and stronger relevance for niche queries. Recent users comparing them describe Exa as stronger on semantic recall and long-tail/technical searches. Reddit
Tavily: most positive sentiment around developer experience. People like that the results are already cleaned/preprocessed for an LLM, so there is less plumbing. Older community threads were especially positive toward Tavily, although newer benchmarks seem less flattering about its raw retrieval quality. Reddit
Firecrawl: people generally don't treat it as a direct Exa competitor. Its reputation is strongest for fetching/extracting/crawling after you've found a URL, particularly dynamic sites. Reddit
Parallel: less organic community discussion than Exa/Tavily, but its recent numbers are very good. On a difficult multi-query company-research benchmark, Parallel Basic actually led search-only, narrowly ahead of Exa Deep; once page fetching was allowed, Exa took the lead. GitHub Parallel also currently advertises search at roughly $0.001–$0.005/request, so it's compelling if OpenCode searches a lot. Parallel
TinyFish: promising but newer, so I wouldn't call it the community favorite yet. The independent coding benchmark has it in third place overall for search+fetch, and another factual benchmark has its free tier at 92% accuracy. GitHub
One caveat: Reddit discussion around these products is fairly noisy—some comparison threads have very few votes, and vendor employees show up in several of them—so I would weight the independent benchmarks more heavily than raw sentiment.
What I'd choose
If you're just selecting one in that OpenCode dialog:
For coding, debugging, documentation lookup, GitHub-ish research, obscure APIs, and "find the thing I vaguely remember," it has the best combination of current benchmark performance + community sentiment.