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Use when researching products, finding academic papers, discovering competitors, reading webpage content, or getting cited answers grounded in real web sources. Use over generic search when semantic relevance matters.
Passed 8 of 13 test cases with the skill, and 3 of 13 without it.
and 11 more in the full report
10 fixed3 passed either way7 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the total charge in USDC for running a single search query returning 10 results via the BlockRun Exa tool?
| Checked | Without skill | With skill |
|---|---|---|
| States the total search cost is $0.0110 USDC | Missed | Passed |
The instructions your model reads when the skill loads.
Neural web search via BlockRun. Understands meaning, not keywords. Four distinct actions for different research modes.
As of v0.14.1 the blockrun_exa tool is path-based. Pass the endpoint name as path and the request as body:
blockrun_exa({ path: "search", body: { query: "AI agent frameworks 2026", numResults: 10 } })
blockrun_exa({ path: "answer", body: { query: "What is speculative decoding?" } })
blockrun_exa({ path: "contents", body: { urls: ["https://example.com/a", "https://example.com/b"] } })
blockrun_exa({ path: "find-similar", body: { url: "https://arxiv.org/abs/2401.12345", numResults: 5 } })
Costs below are what you are actually CHARGED — the $0.001 transaction fee is already included (it applies once per call, not per result).
| User wants... | Path | Body | Cost |
|---|---|---|---|
| Relevant URLs on a topic | search | { query, numResults?, category? } | $0.0110/call |
| Cited answer to a question | answer | { query } | $0.0110/call |
| Full text of URLs | contents | { urls: [...] } | $0.002/URL + $0.001 → 1 URL $0.0030, 3 URLs $0.0070 |
| Pages like a given URL | find-similar | { url, numResults? } | $0.0110/call |
| Recent news | search + category: "news" | – | $0.0110/call |
| Academic papers | search + category: "research paper" | – | $0.0110/call |
| Company info | search + category: "company" | – | $0.0110/call |
contents bills per URL, so batching URLs into ONE call is markedly cheaper than
one call each: 3 URLs together cost $0.0070, but three separate calls cost
$0.0090 — you pay the flat fee three times instead of once.
Valid category values for search: "news", "research paper", "company", "tweet", "github", "pdf".
test cases passed, vs 3 / 13 without
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