September 28, 2026

# Parallel Search vs. SerpApi vs. Brave vs. Bing for AI agents

If you’re looking for a SerpApi alternative, a Brave Search API comparison, or a Bing Search API replacement for an AI agent, you’re choosing between four different product shapes that share one label. This guide covers what each returns per call, published pricing and limits, the independent benchmark evidence, a worked cost example, and how to choose and migrate.

Tags:Comparison

Reading time: 10 min

## The short answer

Pick SerpApi when your product needs the Google results page itself, pick Brave when you want an independent index with an LLM-ready endpoint and high burst throughput, and consider Grounding with Bing only if your agents already run inside Microsoft Foundry. Pick Parallel when an agent needs ranked excerpts from page bodies in one call at $1 per 1,000 requests (Turbo or Fast) or $5 per 1,000 (Basic or Advanced).

SerpApi scrapes search engines and returns structured copies of their results pages. Brave runs its own crawler and index, with a web endpoint for people and an LLM Context endpoint for models. Bing no longer has a general search API: Microsoft retired the Bing Search APIs on August 11, 2025, and what remains is a grounding tool that works only inside Microsoft’s agent products. Parallel runs its own index built for agents, and the Search API returns compressed excerpts sized for a context window.

## The four compared

This table uses each vendor’s published pages as of September 28, 2026. Benchmark rows name who ran the test.

Dimension	Parallel Search	SerpApi	Brave Search API	Grounding with Bing Search
Status	Generally available (/v1)	Generally available	Generally available	Bing Search APIs retired Aug 11, 2025; grounding tool available
Index source	Parallel’s own index	Scrapes Google, Bing, and other engines (100+ APIs)	Brave’s own index (30B+ pages, per Brave)	Bing
Output shape	Ranked URLs with excerpts from page bodies	SERP JSON or Markdown (positions, snippets, rich features)	Web: URLs and snippets. LLM Context: extracted page chunks	A model answer with citations; no raw results
What an agent gets per call	Up to 10 results with excerpts, no fetch step	Titles, links, and short snippets; page text needs your own fetch	LLM Context: page chunks within a token budget	A grounded model response, inside Foundry Agent Service
Published price	$1 per 1K (Turbo, Fast); $5 per 1K (Basic, Advanced)	$25/mo for 1,000 up to $2,750/mo for 500,000; Cloud 1M at $3,750/mo	$5 per 1K requests (Search plan)	$14 per 1K transactions
Free tier	$5 in credits monthly (up to 5,000 Turbo or Fast searches)	250 searches a month	$5 in credits monthly (1,000 requests)	None; free-credit Azure subscriptions aren’t eligible
Rate limits	600 requests/min	50 to 100,000 searches/hr by plan	50 requests/sec	150 transactions/sec, 1M/day
Latency evidence (Openbenchmarks, mean)	Turbo 348ms, Fast 942ms	Not tested	LLM Context 601ms, web 630ms	Not tested
Accuracy evidence (AA Search Index)	Advanced 75, Basic 73	Not listed	LLM Context 75	Not listed
Terms to check	ZDR on Enterprise plans	Legal Shield from Production up; Google lawsuit pending	Storing results needs a storage-rights plan	Must display citations and Bing query link; DPA doesn’t apply

Neither SerpApi nor Bing appears in our own /benchmarks[/benchmarks] runs (September 2026), which test Parallel against Exa, Tavily, and Perplexity, so we have no in-house head-to-head for them.

## What the independent benchmarks show

Two third parties cover Brave and Parallel, and neither covers SerpApi or Bing.

On the Artificial Analysis Search Index[Artificial Analysis Search Index] (data dated September 22, 2026), Parallel Search (advanced) and Brave Search (LLM context) tie at 75, behind Perplexity Search (medium) at 80, Perplexity Search (high) at 79, and Octen Search at 77. AA puts Parallel Advanced’s search cost at $47.93 per 1,000 benchmark tasks against Brave’s $61.96, and Brave finishes tasks faster, at 21.8 seconds against 40.5. They measure spend across whole benchmark tasks and don’t map to per-call prices. AA lists 25 products from 12 providers; SerpApi and Bing aren’t on the board.

Openbenchmarks’ fastest search API board[Openbenchmarks’ fastest search API board] (300 questions, last measured September 12, 2026) reports mean latency from its own client. Parallel Turbo ranks first at 348ms, and Brave’s LLM Context and web endpoints come in at 601ms and 630ms. The same board also scores accuracy, and there Brave leads our faster modes: Brave LLM Context 94.0% and Brave web 93.3%, against Parallel Turbo 71.3%, Fast 86.0%, and Basic 93.3%. On its 100-question developer search board, Parallel Turbo reached 64.7 task completion at 333ms average search time, and Brave LLM Context reached 38.0 at 523ms. The “SERP (RapidAPI)” row on these boards is a Google search API resold on RapidAPI, and it isn’t SerpApi.

Our docs quote ~200ms for Turbo and ~700ms for Fast. Openbenchmarks measures a client-side mean over its own queries and network path, so its figures run higher.

## SerpApi: where it wins

SerpApi is the right tool when the results page is the data. It returns positions, sitelinks, knowledge graph panels, local packs, ads, and prices, and it covers Google Maps, Shopping, Flights, Hotels, Scholar, News, and Trends along with Bing, YouTube, Amazon, and others. Rank tracking, ad monitoring, travel price tracking, and geo-specific result sets have no equivalent on Parallel or Brave. In August 2026 SerpApi added Markdown output[Markdown output] (`output=md`) at no extra cost, which it says cuts tokens by about half against JSON.

Its limits for agents come from the same design. Markdown makes the snippets cheaper to read, but the agent still gets snippets. Page text needs a fetcher you build and run, including retries for sites that block you. Pricing is a monthly allowance ($150 for 15,000 searches, $725 for 100,000, $2,750 for 500,000), and throughput scales with the plan, from 200 searches an hour on Starter to 100,000 on Infrastructure.

The legal picture matters too. Google sued SerpApi in December 2025 under the DMCA, alleging it bypassed Google’s SearchGuard anti-bot system. On July 20, 2026 the court dismissed those claims, permanently for results with no copyrighted content and with leave to amend for the rest. Google filed an amended complaint on August 10, SerpApi moved to dismiss again on August 24, and the docket[docket] sets the hearing for October 13, 2026. SerpApi’s U.S. Legal Shield offers up to $2 million in coverage on Production plans and above. Our explainers on whether scraping Google is legal[whether scraping Google is legal] and why AI agents can’t just use Google Search[why AI agents can’t just use Google Search] cover the full timeline.

## Brave: where it wins

Brave is the only provider here besides Parallel that runs its own index and sells general API access to it. It crawls and ranks the web itself, so it doesn’t depend on another engine’s terms or blocking. The LLM Context endpoint[LLM Context endpoint], launched in February 2026, returns extracted page chunks with token budgets you set (up to 8,192 tokens per URL), which puts it in the same product category as Parallel Search. AA scores it level with Parallel Advanced, and Openbenchmarks measures it ahead of our Turbo and Fast modes on factual-lookup accuracy.

Brave also wins on burst capacity. The Search plan allows 50 requests per second, or 3,000 a minute, against Parallel’s default of 600 a minute. Goggles lets you re-rank and filter results with your own source rules.

The price sits at parity with our Basic and Advanced modes and five times our Turbo and Fast. And Brave’s terms of service[terms of service] bar storing or caching results beyond transient use, so vector-store caching, audit logs of what an agent saw, or eval sets built from production traffic need a plan that grants storage rights. Our Brave vs. Parallel[Brave vs. Parallel] comparison goes deeper.

## Bing: an option only for Azure agents

Grounding with Bing Search is worth considering only if you already build agents in Foundry Agent Service. Microsoft’s pricing page[pricing page] says the plan “can only be used for Azure AI Foundry” or as a Web Knowledge Source in Azure AI Search and Foundry Knowledge, at $14 per 1,000 transactions, 150 transactions per second, and 1 million per day. Microsoft counts transactions per tool call in a run, so one agent turn that searches three times bills three transactions.

The restrictions are specific. Per Microsoft’s tool documentation[tool documentation], developers and end users can’t see the raw content Bing returns, only the model’s response, with citations and a link to the Bing query. Microsoft’s terms of use[terms of use] require you to retain and display both “in the exact form provided by Microsoft,” forbid training models on the output, and exclude the service from Microsoft’s Data Protection Addendum. Queries leave the Azure compliance and geographic boundary, and subscriptions running on free credits can’t deploy it.

Outside Microsoft’s stack it isn’t an option; our Bing API alternatives[Bing API alternatives] guide covers the replacements.

## Parallel: where it wins

We built the Search API for the call an agent makes mid-task: you send keyword `search_queries` and an optional natural-language `objective`, and you get ranked URLs with excerpts pulled from page bodies. Four modes set the trade-off: Turbo at ~200ms and Fast at ~700ms, both $1 per 1,000 requests, then Basic at ~1s and Advanced at ~3s, both $5 per 1,000. Each request includes 10 results. When the agent needs a whole page, the Extract API costs $1 per 1,000 URLs.

On parallel.ai/benchmarks[parallel.ai/benchmarks] (September 2026), with a GPT-5.6 Sol agent, Advanced scored 97% on SimpleQA Verified and 74% on BrowseComp, level with Perplexity on BrowseComp.

We don’t cover SERP features, local packs, or Google verticals. Turbo supports English and Japanese queries only, and Brave’s 50 requests per second beats our default limit without negotiation.

## Cost per agent task: a worked example

This example uses list prices only. Assume one agent task makes 5 searches and needs the text of 3 pages. Model tokens are excluded for every provider, and so is your own fetching infrastructure.

Provider and setup	Searches	Page text	Per task	Per 1,000 tasks
Parallel Fast or Turbo	5 × $0.001 = $0.005	In excerpts; or Extract 3 × $0.001 = $0.003	$0.005 to $0.008	$5 to $8
Parallel Advanced	5 × $0.005 = $0.025	In excerpts; or Extract +$0.003	$0.025 to $0.028	$25 to $28
Brave LLM Context	5 × $0.005 = $0.025	In LLM Context chunks	$0.025	$25
SerpApi Production ($150 for 15,000)	5 × $0.010 = $0.050	Your own fetcher, not priced here	$0.050 plus fetching	$50 plus fetching
Grounding with Bing	5 × $0.014 = $0.070	No raw page text available	$0.070	$70

The SerpApi row assumes you use your whole monthly allowance; unused searches raise the effective rate. At 1,000 tasks a month (5,000 searches), SerpApi’s Developer plan costs $75, while Parallel Fast costs $5, which the monthly free credit covers.

With model tokens included, Openbenchmarks’ developer board measured a median task cost of $0.059 for Parallel Turbo and $0.082 for Brave LLM Context.

## Which to choose

Choose **SerpApi** for rank tracking, ads, local results, Shopping, Flights, or any job where you need what Google showed a user in a given city.

Choose **Brave** if you want an independent index with model-ready chunks and 50 requests per second, and you won’t store results or you’ll buy storage rights. Test its LLM Context endpoint for grounding, since its web endpoint returns human-oriented snippets.

Choose **Grounding with Bing** only if your agents run in Foundry Agent Service and you accept the display rules and the data boundary.

Choose **Parallel** if your agent needs page-body evidence in one call at the lowest per-request price here, with modes you can switch per call. Our Fast vs. Turbo guide[Fast vs. Turbo guide] helps you pick a mode, and how we evaluate web search APIs[how we evaluate web search APIs] shows how to test all four on your own queries before you commit.

## Migration notes

From SerpApi, pass your `q` string as one entry in `search_queries` and delete the fetch-and-chunk stage. Our docs’ migration guide[migration guide] maps SERP APIs to Turbo or Basic, and our Serper to Parallel guide[Serper to Parallel guide] walks through a comparable SERP API switch. From Brave, map `q` to `search_queries` and `count` to `advanced_settings.max_results`. From Bing grounding, you register Parallel Search as a function tool your own code executes. Parallel authenticates with an `x-api-key` header.

### Parallel Search with requests

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import os, requests

resp = requests.post(
    "https://api.parallel.ai/v1/search",
    headers={"x-api-key": os.environ["PARALLEL_API_KEY"]},
    json={
        "objective": "Current price per 1,000 requests for the Brave Search API",
        "search_queries": ["Brave Search API pricing"],
        "mode": "fast",
    },
    timeout=30,
)
resp.raise_for_status()
for r in resp.json()["results"][:3]:
    print(r["url"])
    print(r["excerpts"][0][:300], "\n")``` import os, requests
 
resp = requests.post(
    "https://api.parallel.ai/v1/search",
    headers={"x-api-key": os.environ["PARALLEL_API_KEY"]},
    json={
        "objective": "Current price per 1,000 requests for the Brave Search API",
        "search_queries": ["Brave Search API pricing"],
        "mode": "fast",
    },
    timeout=30,
)
resp.raise_for_status()
for r in resp.json()["results"][:3]:
    print(r["url"])
    print(r["excerpts"][0][:300], "\n")
```

## Get started

Create a key at platform.parallel.ai[platform.parallel.ai], where $5 in free credits every month covers up to 5,000 Turbo or Fast searches. To try it without an account, connect the free Search MCP at `https://search.parallel.ai/mcp` to Claude, Cursor, or another MCP client; our free web search MCP roundup[free web search MCP roundup] compares it with the alternatives.

## Frequently asked questions

### What is the best SerpApi alternative for AI agents?

For agents that need page content, an agent-native search API such as Parallel or Brave’s LLM Context endpoint replaces SerpApi’s search call plus your fetch-and-clean stage. If you need Google SERP features like positions, local packs, or Shopping, no agent-native API replaces SerpApi.

### Is the Bing Search API still available?

No. Microsoft retired the Bing Search APIs on August 11, 2025. Grounding with Bing Search, at $14 per 1,000 transactions, works only inside Microsoft Foundry and Azure AI Search, and it doesn’t expose raw results.

### How much does the Brave Search API cost?

Brave’s Search plan costs $5 per 1,000 requests and covers web, LLM Context, news, images, and video, with $5 in free credits each month and 50 requests per second. Answers costs $4 per 1,000 queries plus $5 per million input and output tokens.

### Is Brave or Parallel more accurate?

It depends on the test. The Artificial Analysis Search Index ties Brave LLM Context and Parallel Advanced at 75. On Openbenchmarks’ factual-lookup board, Brave LLM Context scored 94.0% against Parallel Turbo’s 71.3% and Fast’s 86.0%, while Parallel Turbo led its developer search board at 64.7 task completion against Brave’s 38.0.

### Is SerpApi legal to use?

SerpApi is operating, and Google’s DMCA case against it is still open: the court dismissed the original claims in July 2026, Google amended in August, and a hearing is set for October 13, 2026. SerpApi offers a U.S. Legal Shield of up to $2 million on Production plans and above.