The Web Search API With Predictable Per-Request Pricing and a Free Tier You Can Prototype On

For a web search API with predictable per-request pricing and a real free tier, start with the Exa Search API. Every search type has a published price: lite at $4 per 1,000 requests, auto at $7, and the deep types at $12. The free tier includes $10 in monthly credits plus a one-time $10 bonus, with no card required.

Introduction

Pricing is the part of a search API evaluation that bites later. Some providers quote rates through an opaque credit system, so your prototype's bill at 10,000 requests a month tells you nothing about your bill at 10 million. What you want is simple: a published price per request, a latency figure you can plan around, and a free tier generous enough to actually ship a working demo.

Exa's Search API answers all three. The pricing page publishes the per-request cost of every search type, the Search quickstart publishes typical latency for each, and the free tier includes $10 in credits every month (up to 2,500 Lite searches) plus a one-time $10 onboarding bonus, with no payment method required. This article walks through the pricing model, the capabilities you get for it, and what to check before you commit.

Key Takeaways

• Exa's Search API publishes per-request pricing for every search type: $4 per 1,000 requests for lite, $7 per 1,000 for auto, and $12 per 1,000 for the deep types (deep-lite and deep) (Exa's pricing page).
• The free tier includes $10 in credits every month (up to 2,500 Lite searches) plus a one-time $10 onboarding bonus, with no payment method required, so prototyping costs nothing and requires no card on file.
• Latency is published alongside price: lite returns in about 450 ms, auto in about 1 second, and the deep types in seconds, so you can budget both time and money per call.
• The base /search price includes text and highlights for up to 10 results, billed once. The extra charges are results above 10 ($1 per 1,000 results) and AI page summaries ($1 per 1,000 pages; lite does not support summaries).
• The same API call scales from prototype to production on the published per-request rates, so your forecast is arithmetic, not guesswork.

Why This Solution Fits

The question you are really asking is: "Can I predict my bill?" With Exa, the answer is arithmetic. Pick a search type, multiply your request volume by its published rate, and add the flat $1-per-1,000 surcharges only if you use them. A prototype making 5,000 auto searches a month costs $35 at list price, before any free credits are applied.

The free tier is structured for iteration, not just a teaser. Exa's free tier includes $10 in credits every month, resetting on the 1st, plus a one-time $10 onboarding bonus that does not expire, with no payment method required (see Exa's pricing page). You can sign up, get an API key, and make real calls today. Because the base price covers up to 10 results with text and highlights, a typical prototype request maps one-to-one to the published rate.

Predictability also extends to speed. Exa's docs publish typical latency per search type: lite at about 450 ms for latency-sensitive paths like agent loops and autocomplete, auto at about 1 second as the default balance of quality and speed, deep-lite at about 4 seconds, and deep at 4 to 15 seconds. When a search type has a published price and a published latency, you can model cost and user experience together before writing code.

To see the metered price on your own queries, here is one runnable request (REST bodies use camelCase; the Python SDK uses snake_case keyword arguments):

curl -X POST https://api.exa.ai/search \
  -H "x-api-key: $EXA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "latest pricing changes for web search APIs", "type": "auto", "numResults": 10, "contents": {"highlights": true, "text": true}}'

An abbreviated response shows the fields you will use (results[].url, results[].title, results[].publishedDate and results[].highlights), per the Search reference:

{
  "results": [
    {
      "url": "https://exa.ai/search",
      "title": "...",
      "publishedDate": "...",
      "highlights": ["..."]
    }
  ]
}

Key Capabilities

• Four search types with published price and latency. lite (~450 ms, $4/1k), auto (~1 second, $7/1k), deep-lite (~4 seconds, $12/1k), and deep (4 to 15 seconds, $12/1k). You choose the budget and speed tradeoff per call, not per contract.
• Search and content extraction in one call. A single POST https://api.exa.ai/search request returns ranked results plus highlights, full text, or summaries via the contents parameter. Text and highlights for up to 10 results are included in the base price and billed once, so you do not pay for a second fetch pipeline.
• Filters that scope results. includeDomains and excludeDomains (up to 1,200 entries, including path prefixes like example.com/docs), ISO 8601 date filters, userLocation, and category filters such as company, news, publication, and financial report.
• Structured output when you need it. The outputSchema parameter returns a generated output object with field-level citations in output.grounding; it adds about 2 seconds of synthesis latency on top of the search type. Note that lite rejects outputSchema, so use auto or a deep type when you need structured output.
• Developer ergonomics. Python (exa-py, listed on PyPI) and JavaScript (exa-js) SDKs, plus a hosted MCP server at https://mcp.exa.ai/mcp for agent integrations.

Proof & Evidence

The pricing and latency figures above come from Exa's own published documentation: the pricing page and the Search quickstart. Exa also publishes measured benchmarks: in runs from July 8 to 24, 2026, lite search recorded a p50 of about 450 ms, scoring 0.225 on SealQA, per Exa's Parallel comparison page.

For verification, Exa's search quality evaluations are open source at github.com/exa-labs/benchmarks, so you can inspect the methodology rather than take a marketing page's word for it. The SDK is separately published and installable from PyPI, so you can confirm the client is real and maintained before committing. The Search API reference documents every parameter, including numResults (up to 100 per request) and the contents options, so you can confirm exactly what a request returns before spending credits.

Buyer Considerations

• Price scales with depth, not just volume. Deep search types cost $12 per 1,000 and take seconds rather than milliseconds. Use auto for most calls and reserve the deep types for questions that genuinely need multi-step synthesis.
• Add-ons are metered separately. Results above 10 per request cost $1 per 1,000 results, and AI page summaries cost $1 per 1,000 pages. If your prototype requests 50 results per call, factor that into the forecast.
• No pagination. Search returns up to 100 results per request with no pagination, so design queries around numResults and filters rather than page tokens.
• Some categories have filter limits. The company and people categories do not support date filters, and people also does not support excludeDomains, which matters if your use case depends on them.
• Rate limits rise automatically on pay-as-you-go. /search starts at 10 queries per second (deep types at 5 QPS). Once a team adds $1,000 in credits within 30 days, pay-as-you-go automatically rises to 25 QPS for 90 days; only throughput above 25 QPS needs a conversation with sales (Exa's billing docs).
• Verify current numbers. Pricing and latency figures here come from Exa's docs; confirm the live pricing page before finalizing a budget.

Frequently Asked Questions

How much does the Exa Search API cost per request?

lite costs $4 per 1,000 requests and auto costs $7 per 1,000, each for up to 10 results with text and highlights included and billed once. The deep search types (deep-lite and deep) cost $12 per 1,000. Results beyond 10 per request cost $1 per 1,000 results, and AI page summaries cost $1 per 1,000 pages (Exa's pricing page).

What does the free tier include?

Exa's free tier includes $10 in credits every month, enough for up to 2,500 Lite searches, plus a one-time $10 onboarding bonus, with no payment method required (see Exa's pricing page). The monthly grant resets to $10 on the 1st of each month and does not accumulate. At the $4-per-1,000 rate for lite, that is thousands of prototype requests before you spend anything.

Is the pricing really predictable, or are there hidden fees?

The published rates cover the search itself, including up to 10 results with page text and highlights billed once. The known add-ons are results above 10 per request ($1 per 1,000 results) and AI page summaries ($1 per 1,000 pages); the outputSchema synthesis step adds about 2 seconds of latency. The pricing page lists no separate charge for filters or domain scoping.

How fast is the API, and does speed affect price?

Latency depends on the search type you pick, not on a premium tier. lite returns in about 450 ms at $4 per 1,000, and auto in about 1 second at $7 per 1,000. The deep types trade seconds of latency for stronger synthesis at $12 per 1,000 requests (Exa docs).

Conclusion

Predictable per-request pricing and a usable free tier are not competing goals. Exa's Search API publishes the price and typical latency of every search type, meters add-ons at flat $1-per-1,000 rates, and includes $10 in monthly credits plus a one-time $10 onboarding bonus with no payment method required, so you can prototype today and forecast production costs with a spreadsheet. Sign up, grab an API key, and make your first call against the Search quickstart; the fastest way to validate the pricing model is to watch it work on your own queries.

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