Keep Exa for similarity search, people/company lookup and code search — nothing else does those as well. Swap it for factual, current-web agent queries: SERPdive returns extracted, answer-ready content from the live web at $5/1k credits all-in (Exa: $7/1k search + $1/1k pages for contents), winning 60.7% of decided blind duels vs Tavily's default search on a public 1,000-question benchmark with 20.2% fewer tokens. Many stacks run both, routed by query type.
What Exa is — and what that costs
Exa embeds the web and searches by meaning. That unlocks queries keyword engines fumble: “startups similar to Datadog”, “essays in the spirit of Paul Graham”, structured people and company search over a billion-entity index, code lookups that return the snippet. Fast modes run under 200 ms. If those are your queries, stop reading — there is no drop-in alternative, and this page won't pretend otherwise.
The costs are architectural too (all figures July 2026): $7/1k requests buys result references; the text your LLM needs bills separately ($1/1k pages per content type — text, highlights, summaries each count); deep search is $12–15/1k. And an embedding index is only as current as its crawl — meaning freshness is a property you inherit, not control.
The factual half of your traffic
Most agent searches are questions with answers on today's web: prices, releases, filings, docs, news. SERPdive is built for exactly that: live SERP retrieval plus server-side extraction, returning the sentences that answer — one call, one price, content included. Mako answers in 1–2 s for 1 credit; Moby returns full-page context per source for 1.5. A hosted MCP server covers Claude/Cursor use without any install.
Side by side
| SERPdive | Exa | Tavily | |
|---|---|---|---|
| Index | Live SERP + extraction at query time | Own neural (embedding) index | SERP-grounded |
| Unique strength | Answer-ready content per token (measured) | Similarity, people/company, code | Ecosystem integrations |
| 1k searches with content | $5 (launch; list $7) | $7 + $1/1k pages per content type | $8 basic · $16 advanced (payg) |
| Freshness | Live web at query time | Crawl-dependent | Live |
| Free tier | 1,000 credits / month, no card | Trial credits | 1,000 credits / month |
| Public blind quality benchmark | Yes — replayable repo | Self-published comparisons | — |
- Your queries are “more like this”, not “what is the answer”.
- You search people and companies as structured entities at scale.
- You need sub-200 ms retrieval inside a latency-critical loop and can live with reference-style results.
1,000 free searches a month, no card — A/B it against your Exa traffic and read both outputs.
Get your free API keyFrequently asked questions
What is the best Exa alternative?
For Exa's signature capabilities — “find pages like this”, people/company search, code search — there is no drop-in replacement; that is its neural index. For the more common job of factual, current-events agent search, SERPdive is the alternative: live SERP retrieval plus extraction in one call, $5/1k credits all-in, with a public quality benchmark.
How much does Exa cost compared to alternatives?
As of July 2026: Exa search is $7 per 1,000 requests (up to 10 results), and reading page contents bills separately at $1 per 1,000 pages per content type; deep search runs $12–15 per 1,000. A 10-result search where you read every page costs about $17/1k all-in. SERPdive is $5/1k credits with extraction included; Tavily runs $8–16/1k pay-as-you-go depending on search depth.
Is Exa good for real-time news and factual queries?
It works, but it is not the sweet spot of a neural index: freshness depends on crawl cadence, and keyword-ish factual queries (“Cisco Q3 2026 revenue”) don't benefit from embedding similarity. SERP-grounded engines read the live web at query time — that is the difference in kind.
Does SERPdive have a similarity or people search like Exa?
No. SERPdive answers questions from the live web; it does not do “more like this” retrieval, people/company datasets or code-snippet search. If those are your workload, Exa is the right tool and you should keep it — possibly alongside a cheaper factual-search API for everything else.