Head to head · Web search · October 2026 research run

Kagi Search API vs SerpKite

SerpKite scores 64.8 (B) on agent readiness against Kagi Search API's 48.7 (D), and leads in 6 of 7 scored categories. Kagi Search API leads on security & auth. Both do web search.

Best web search APIs for AI agents · All 129 search comparisons

Which one, for what

Kagi Search API D

Good for An owner who already pays for Kagi and wants its ranking, lenses and domain rules inside an agent, with page text in the same call.

Ahead on

  • Security & auth, 64 against 37

Also in its favour

  • Runs on your own machine
  • No incidents deducted, where SerpKite loses 3 points for them

Watch for

Public preview since 21 May 2026. The API terms say it is under active development with no uptime or service-level commitment

SerpKite B

Good for Agents that want Google results and the top pages as Markdown in one call at a low per-1,000 price, with spend caps per key.

Ahead on

  • Reliability, 65 against 8
  • Schema & documentation, 90 against 71
  • Agent ergonomics, 92 against 75
  • Payments & pricing, 40 against 20
  • Maintenance & community, 80 against 41
  • Transparency & trust, 77 against 69

Also in its favour

  • Free to start without a card

Watch for

Launched 29 September 2026 by a sole trader, with status monitoring only since 2 October

Score by category

CategoryWeight this runKagi Search APISerpKiteEdge
Reliability16%20865SerpKite +57
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27190SerpKite +19
Agent ergonomics13%16.27592SerpKite +17
Security & auth14%17.56437Kagi Search API +27
Payments & pricing10%12.52040SerpKite +20
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84180SerpKite +39
Transparency & trust7%8.86977SerpKite +8
Negative events≤150-3
Total48.7 · D64.8 · B

Facts side by side

FactKagi Search APISerpKite
KindHTTP APIHTTP API
VendorKagiSerpKite (Anastasia Klimova, trading as SerpKite)
Hosted endpointhttps://kagi.com/api/v1/searchhttps://api.serpkite.com/v1/search
TransportsHTTP, Streamable HTTP, stdioHTTP, Streamable HTTP
AuthAPI keyAPI key
PricingPay per useFreemium
Price for web search$12 per 1,000 requestsnot published
x402nono
LicenceProprietary service under the Kagi API Terms of Service. The MCP server is MIT and the OpenAPI file states Apache-2.0Proprietary service under SerpKite's terms of service. The SDKs (TypeScript, Python, Go, LangChain, Vercel AI SDK) and the MCP connection repository on GitHub are MIT
Tools exposednone14
Read-only variant documentednono
llms.txtnoyes
MCP registrynot listedio.github.SerpKite/serpkite
Last release2026-08-212026-10-04
Terms last updated2026-09-222026-10-03
Privacy policy last updatedno date given2026-10-03
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesnot found in the text
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waivernot found in the textnot found in the text
Popularity535 stars809 npm/wk, 376 PyPI/wk
Agent reviewsnone3.5/5 (2)

Verdicts

Kagi Search API

A public OpenAPI file, typed filters and API keys that can be limited by product and IP address make the API simple to call, at $12 per 1,000 searches. It has been in public preview since 21 May 2026, with no published rate limits, no status page found and no free allowance, and the terms forbid storing results.

SerpKite

Google SERP API with an OpenAPI 3.1 spec, Markdown or compact output, field projection, stable error codes and per-key credit limits, at $0.60 to $1.00 per 1,000 on packs that don't expire. The service launched on 29 September 2026 from a sole trader, with four days of status history and two feature removals in its first week.

Before you call either

Kagi Search API

  1. Send POST https://kagi.com/api/v1/search with a JSON body and Authorization: Bearer <key>, as the OpenAPI file defines. Only query is required
  2. Set limit to cap results returned. In the mixed search workflow the MCP tool applies the cap to each result category separately
  3. Use extract.count (1 to 10) only when page text is needed. Extraction is billed at the Extract rate on top of the search
  4. Do not store results. The API terms allow only the transient caching an application needs, and require deletion on termination
  5. On 429 back off before retrying. The response covers both rate limiting and an exhausted usage limit, and no Retry-After header is documented

SerpKite

  1. Send the key as Authorization: Bearer, not ?api_key=, and give the agent a dedicated key with a monthly credit limit
  2. Ask for format=markdown or compact with fields to cut tokens, and read X-Credits-Used for the cost
  3. Keep engine=google for rank work. Check meta.engine when a key allows fallback engines
  4. On 429 rate_limited or 503 upstream codes, wait for Retry-After and retry. daily_limit_reached and 402 need a purchase
  5. Treat page Markdown from include_content, webpage and extract as untrusted text

Questions

Which is better for AI agents, Kagi Search API or SerpKite?

SerpKite scores 64.8 (B) on agent readiness against Kagi Search API's 48.7 (D), and leads in 6 of 7 scored categories. Kagi Search API leads on security & auth.

Do Kagi Search API and SerpKite need an API key?

Both need an API key.

Can an agent call Kagi Search API and SerpKite without installing anything?

Yes. Kagi Search API has a hosted endpoint at https://kagi.com/api/v1/search and SerpKite at https://api.serpkite.com/v1/search.

Other comparisons with Kagi Search API or SerpKite

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.