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SerpAPI

Fast, zero-error live web search for agents, with stable mid-pack retrieval and snippet outputs.

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0 errors51.1% top-395% agreementSnippet outputs
TL;DR — our verdictUpdated August 2026 · 4 test artifacts

Reliable baseline, but not the strongest retrieval choice.

Where it wins
  • you want a free-tier baseline for live web lookups in an agent
  • you can work from SERP snippets plus published-date metadata
  • you need a fast retriever that stayed error-free across two runs
Main limitation
  • you need strong multi-source retrieval
Pricing (verified plans)
Free $0/moStarter $25/moDeveloper $75/moProduction $150/mo
Strongest test artifacts
Per-query output notes →Scored search run →Raw search response →

Feature scores on this page: 73.0/100 (2 scored features)

Our take

SerpAPI is a dependable free-tier baseline for agent web search: it ran twice without errors, held 95% rerun agreement, and returns snippet results with published dates. But recall is still mid-pack, multi-source and freshness performance are weak, and the first paid tier is expensive enough that the free plan is the most attractive entry point.

Benchmark participation

Explore SerpAPI in our public benchmarks.

In-Depth Review

Our detailed analysis of SerpAPI — features, performance, and real-world testing.

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AI Demos Team
Expert Reviewer
Verified Review

Feature-by-Feature Breakdown

Live Web Search Retrieval
51.1/100
▾
Test Summary
Feature tested: Live Web Search Retrieval
Result: Partial (51.1/100)

Feature tested: Live Web Search Retrieval

Result: Partial (51.1/100)

Expected behavior: Takes plain-text queries and returns ranked live-web search results with snippet and date metadata, as exercised on the benchmark query set and lookup-style queries. The two cards describe the same retriever behavior under slightly different naming.

Test case: Text/code file → Text/code file

Input type: Text/code file

Input used: Input artifact (Text/code file): Same benchmark set; this feature reflects the response format and metadata returned by the search call. — QUERY-SET-ground-truth.csv

Observed output: Output artifact (Text/code file): The per-query output confirms snippet-style results rather than full extracted pages. The run reported a 162-character median snippet length and published dates on 85% of results. — SERPAPI-per-query-output.md

Input artifact: Input artifact (Text/code file): Same benchmark set; this feature reflects the response format and metadata returned by the search call. — QUERY-SET-ground-truth.csv

Output artifact: Output artifact (Text/code file): The per-query output confirms snippet-style results rather than full extracted pages. The run reported a 162-character median snippet length and published dates on 85% of results. — SERPAPI-per-query-output.md

What changed: Text/code file transformed into Text/code file

Test case: Text/code file → Text/code file

Input type: Text/code file

Input used: Input artifact (Text/code file): The fixed benchmark set used for the live-web comparison, spanning current-fact, freshness, ambiguity, multi-source, and content-depth queries. — QUERY-SET-ground-truth.csv

Observed output: Output artifact (Text/code file): Across the 47 answerable queries, SerpAPI reached 32% top-1, 51.1% top-3, and 60% top-10. It was strongest on ambiguity (71% top-3), weaker on content-depth (67% top-3, ranking not extraction), and weak on multi-source (17%) and freshness (33%). — SERPAPI-scored-run-export.csv

Input artifact: Input artifact (Text/code file): The fixed benchmark set used for the live-web comparison, spanning current-fact, freshness, ambiguity, multi-source, and content-depth queries. — QUERY-SET-ground-truth.csv

Output artifact: Output artifact (Text/code file): Across the 47 answerable queries, SerpAPI reached 32% top-1, 51.1% top-3, and 60% top-10. It was strongest on ambiguity (71% top-3), weaker on content-depth (67% top-3, ranking not extraction), and weak on multi-source (17%) and freshness (33%). — SERPAPI-scored-run-export.csv

What changed: Text/code file transformed into Text/code file

Test case: Text/code file → Text/code file

Input type: Text/code file

Input used: Input artifact (Text/code file): Raw search response captured for one benchmark query. — QUERY-SET-ground-truth.csv

Observed output: Output artifact (Text/code file): The raw search response shows `credits_reported` and `tokens_reported` as null, so quota is not visible in the search payload itself. — SERPAPI-Q01-raw-response.json

Input artifact: Input artifact (Text/code file): Raw search response captured for one benchmark query. — QUERY-SET-ground-truth.csv

Output artifact: Output artifact (Text/code file): The raw search response shows `credits_reported` and `tokens_reported` as null, so quota is not visible in the search payload itself. — SERPAPI-Q01-raw-response.json

What changed: Text/code file transformed into Text/code file

Why it matters / Conclusion: A solid mid-pack retriever that finds the supporting page more often than not, but not often enough to trust blindly; rerun drift was small (95% agreement and a -4.3 top-3 point move).

Takes plain-text queries and returns ranked live-web search results with snippet and date metadata, as exercised on the benchmark query set and lookup-style queries. The two cards describe the same retriever behavior under slightly different naming.

csv
QUERY-SET-ground-truth.csv
Loading file...
Same benchmark set; this feature reflects the response format and metadata returned by the search call.
↓
md
SERPAPI-per-query-output.md
Loading file...
The per-query output confirms snippet-style results rather than full extracted pages. The run reported a 162-character median snippet length and published dates on 85% of results.
csv
QUERY-SET-ground-truth.csv
Loading file...
The fixed benchmark set used for the live-web comparison, spanning current-fact, freshness, ambiguity, multi-source, and content-depth queries.
↓
csv
SERPAPI-scored-run-export.csv
Loading file...
Across the 47 answerable queries, SerpAPI reached 32% top-1, 51.1% top-3, and 60% top-10. It was strongest on ambiguity (71% top-3), weaker on content-depth (67% top-3, ranking not extraction), and weak on multi-source (17%) and freshness (33%).
file
QUERY-SET-ground-truth.csv
Loading file...
Raw search response captured for one benchmark query.
↓
json
SERPAPI-Q01-raw-response.json
Loading file...
The raw search response shows `credits_reported` and `tokens_reported` as null, so quota is not visible in the search payload itself.
Bottom Line
A solid mid-pack retriever that finds the supporting page more often than not, but not often enough to trust blindly; rerun drift was small (95% agreement and a -4.3 top-3 point move).
From our researchearlier researchSearch the Web From an Agent — Web Search & Answer APIs Compared
Repeatable Batch Query Execution
Stable reruns
95/100
▾
Test Summary
Feature tested: Repeatable Batch Query Execution
Result: Passed (95/100) — Stable reruns

Feature tested: Repeatable Batch Query Execution

Result: Passed (95/100)

Verdict: Stable reruns

Expected behavior: Runs the same query batch repeatedly on the free tier without errors and with stable rerun behavior, as shown by 52 successful calls and a close second-pass match to the first pass. This is the service’s ability to support dependable repeated benchmark runs.

Test case: Text/code file → Text/code file

Input type: Text/code file

Input used: Input artifact (Text/code file): The same fixed query set used for both runs. — QUERY-SET-ground-truth.csv

Observed output: Output artifact (Text/code file): The r1/r2 split in the scored export shows 51.1% top-3 in run 1 versus 46.8% in run 2, with 95% agreement and a -4.3 point move. The run completed with 0 errors. — SERPAPI-scored-run-export.csv

Input artifact: Input artifact (Text/code file): The same fixed query set used for both runs. — QUERY-SET-ground-truth.csv

Output artifact: Output artifact (Text/code file): The r1/r2 split in the scored export shows 51.1% top-3 in run 1 versus 46.8% in run 2, with 95% agreement and a -4.3 point move. The run completed with 0 errors. — SERPAPI-scored-run-export.csv

What changed: Text/code file transformed into Text/code file

Why it matters / Conclusion: A dependable free-tier evaluation option: it survived both full runs, stayed within normal rerun noise, and never errored.

Runs the same query batch repeatedly on the free tier without errors and with stable rerun behavior, as shown by 52 successful calls and a close second-pass match to the first pass. This is the service’s ability to support dependable repeated benchmark runs.

csv
QUERY-SET-ground-truth.csv
Loading file...
The same fixed query set used for both runs.
↓
csv
SERPAPI-scored-run-export.csv
Loading file...
The r1/r2 split in the scored export shows 51.1% top-3 in run 1 versus 46.8% in run 2, with 95% agreement and a -4.3 point move. The run completed with 0 errors.
Bottom Line
A dependable free-tier evaluation option: it survived both full runs, stayed within normal rerun noise, and never errored.
From our researchSearch the Web From an Agent — Web Search & Answer APIs Compared

Prepaid monthly buckets

Effective $/1k falls sharply at scale; the free tier was used in both benchmark runs.

TESTED
Free
$0/mo
250 searches/mo; used in both runs.
Starter
$25/mo
1,000 searches/mo.
Developer
$75/mo
5,000 searches/mo.
Production
$150/mo
15,000 searches/mo.
Big Data
$275/mo
30,000 searches/mo.
Searcher
$725/mo
100,000 searches/mo.
Volume
$1,475/mo
250,000 searches/mo.
Infrastructure
$2,750/mo
500,000 searches/mo.
Cloud 1M
$3,750/mo
1,000,000 searches/mo.
Cloud 2M
$5,675/mo
2,000,000 searches/mo.

Only successful searches count; cached and failed searches are not billed. The report does not state whether unused searches roll over.

✓ Use This If
●you want a free-tier baseline for live web lookups in an agent
●you can work from SERP snippets plus published-date metadata
●you need a fast retriever that stayed error-free across two runs
✕ Skip This If
●you need strong multi-source retrieval
●you need full-page extraction instead of snippets
●you need strong freshness on thinly covered recent items
●you need confirmed commercial-use terms and a cheap paid scale-up path
developer-toolsapistextOther
On the 47 answerable queries, SerpAPI reached 32% top-1, 51.1% top-3, and 60% top-10. It handled ambiguity best at 71% top-3, but multi-source queries were weak at 17% and freshness was only 33%.
In this test, it returned snippet-style results, not full extracted pages. The median result text was 162 characters, and 85% of results included a published date.
The run recorded a 2,762 ms median latency, 4,731 ms p95 latency, and 0 errors across 52 calls.
Yes. The second full run stayed close to the first: 51.1% top-3 in run 1 versus 46.8% in run 2, with 95% agreement and a -4.3 point move.
The report shows prepaid monthly buckets, starting with a free tier at 250 searches/month. The first paid tier is $25/month for 1,000 searches, and the ladder continues upward from there.
No. The raw search response showed `credits_reported` and `tokens_reported` as null, so billing and quota tracking require a separate account endpoint rather than the search payload.
The report says no explicit non-commercial-use restriction was found on the current pricing/terms pages, but the terms are still ambiguous enough that the recommendation is to confirm with SerpAPI support.

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