vs Exa
vs Tavily
vs Perplexity Sonar API
vs SerpApiShowcase
Verified integrations
Connections to other tracked products — hover a chip for the verbatim evidence quote behind it.
By theme — the product's score on each story themeBy theme
Agenticness — how well agents can access and operate the productAgenticnessevidence →
How well agents can access and operate the product
Automation depth — how much of the product can run unattendedAutomation depthevidence →
How much of the product can run unattended
Citations trust — stories about citations trust in this arenaCitations trustevidence →
Stories about citations trust in this arena
Content extraction — stories about content extraction in this arenaContent extractionevidence →
Stories about content extraction in this arena
Filters controls — stories about filters controls in this arenaFilters controlsevidence →
Stories about filters controls in this arena
Freshness coverage — stories about freshness coverage in this arenaFreshness coverageevidence →
Stories about freshness coverage in this arena
Openness — open source, data portability, and self-hosting storiesOpennessevidence →
Open source, data portability, and self-hosting stories
Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limitsevidence →
Free-tier ceilings, usage caps, and rate limits before you have to pay
Privacy posture — data-handling and privacy storiesPrivacy postureevidence →
Data-handling and privacy stories
Search quality — stories about search quality in this arenaSearch qualityevidence →
Stories about search quality in this arena
Story verdicts — every judged story with its evidenceStory verdicts
What’s free: 10 free · 5 paid · 0 enterprise · 2 not stated in evidence
Follow the green: where the map greys out is where Brave Search API stops today. ✓ full · ~ partial · ! disputed · — none · n/a not applicable.
Agenticness — how well agents can access and operate the productAgenticness
How well agents can access and operate the product
API surface
Drive the product through a documented public API
✓8/10
unlocks → Webhooks · Scoped API keys · Machine-readable spec · Versioning policy · Official CLI
Subscribe to events via webhooks
—–
Build against official SDKs
~4/10
Issue scoped/least-privilege API credentials for an agent
—0/10
Connect an agent via an official MCP server
~7/10
Download a machine-readable API spec (OpenAPI or equivalent)
—0/10
Rely on versioned APIs with a documented deprecation policy
—–
Test against a sandbox environment without touching production data
n/an/a
Explore an interactive API reference with runnable examples
~3/10
Docs for agents
Point an agent at llms.txt or agent-oriented docs
✓8/10
Agentic features
Delegate tasks to a built-in AI assistant inside the product
n/an/a
Operate the product with natural-language commands
✓8/10
Plug MCP servers into this product so it can use their tools
n/an/a
Get AI-generated insights and suggestions from my data inside the product
✓7/10
Set up automations that run autonomously in the background
n/an/a
Automation depth — how much of the product can run unattendedAutomation depth
How much of the product can run unattended
Citations trust — stories about citations trust in this arenaCitations trust
Stories about citations trust in this arena
Content extraction — stories about content extraction in this arenaContent extraction
Stories about content extraction in this arena
Filters controls — stories about filters controls in this arenaFilters controls
Stories about filters controls in this arena
Freshness coverage — stories about freshness coverage in this arenaFreshness coverage
Stories about freshness coverage in this arena
Openness — open source, data portability, and self-hosting storiesOpenness
Open source, data portability, and self-hosting stories
Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits
Free-tier ceilings, usage caps, and rate limits before you have to pay
Privacy posture — data-handling and privacy storiesPrivacy posture
Data-handling and privacy stories
Search quality — stories about search quality in this arenaSearch quality
Stories about search quality in this arena
Sorted by importance (agentic first) (high → low) · 50/50 stories · click a row’s chevron for the rationale and evidence
Drive the product through a documented public API G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | fullfree | 8/10 | Tprobed | |
Connect an agent via an official MCP server G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | partialpaid | 7/10 | Tprobed | |
Delegate tasks to a built-in AI assistant inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | n/a | untested | none yet | |
Plug MCP servers into this product so it can use their tools G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 3 | n/a | untested | none yet | |
Operate the product with natural-language commands G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | fullfree | 8/10 | Xcommunity | |
Point an agent at llms.txt or agent-oriented docs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 8/10 | Tprobed | |
Run the product headlessly / in CI for automation G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | fullfree | 8/10 | Tprobed | |
Get AI-generated insights and suggestions from my data inside the product G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | full | 7/10 | Xcommunity | |
Build against official SDKs G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 4/10 | Tprobed | |
Explore an interactive API reference with runnable examples G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | partial | 3/10 | Tprobed | |
Download a machine-readable API spec (OpenAPI or equivalent) G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Issue scoped/least-privilege API credentials for an agent G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | 0/10 | ||
Rely on versioned APIs with a documented deprecation policy G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Set up automations that run autonomously in the background G Agentic features | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | n/a | untested | none yet | |
Subscribe to events via webhooks G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Use an official CLI G Agent access | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 2 | none | untested | none yet | |
Test against a sandbox environment without touching production data G Api quality | ai-native user | Agenticness — how well agents can access and operate the productAgenticness | 1 | n/a | untested | none yet | |
Get fresh results with date-range and recency filters backed by a frequently updated index C Freshness | data engineer | Freshness coverage — stories about freshness coverage in this arenaFreshness coverage | 3 | fullfree | 8/10 | Cclaimed | |
Get results sized and ranked for direct use as LLM context in a RAG pipeline C Llm ready results | developer | Search quality — stories about search quality in this arenaSearch quality | 3 | partialpaid | 7/10 | Xcommunity | |
Plug the API into an agent as a ready-made tool, with function-calling schemas and agent-framework integrations designed for direct tool-call consumption C Ai consumption | ai-native user | Search quality — stories about search quality in this arenaSearch quality | 3 | partialpaid | 7/10 | Tprobed | |
Retrieve full page text or markdown for results, not just snippets C Page contents | developer | Content extraction — stories about content extraction in this arenaContent extraction | 3 | fullfree | 7/10 | Cclaimed | |
Rely on results carrying canonical URLs, titles, and published dates so my app can cite sources accurately C Citation fidelity | developer | Citations trust — stories about citations trust in this arenaCitations trust | 3 | partialfree | 6/10 | Cclaimed | |
Run meaning-based semantic search that finds results keyword engines miss C Retrieval modes | developer | Search quality — stories about search quality in this arenaSearch quality | 3 | none | 0/10 | ||
See clear per-request or per-credit pricing without talking to sales G Pricing clarity | developer | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 3 | none | 0/10 | ||
Define rules that trigger actions automatically on events G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 3 | n/a | untested | none yet | |
Export all of my data in open formats and leave G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | n/a | untested | none yet | |
Prevent my data from being used to train AI models G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 3 | none | untested | none yet | |
Self-host the core product G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 3 | n/a | untested | none yet | |
Query dedicated verticals like news, images, or finance through specific endpoints or category filters C Freshness | data engineer | Freshness coverage — stories about freshness coverage in this arenaFreshness coverage | 2 | fullfree | 8/10 | Tprobed | |
Have an agent run a multi-step research flow — search, extract contents, and synthesize — through one API C Ai consumption | ai-native user | Content extraction — stories about content extraction in this arenaContent extraction | 2 | partialpaid | 7/10 | Xcommunity | |
Restrict or exclude specific domains from my search results C Query filters | developer | Filters controls — stories about filters controls in this arenaFilters controls | 2 | fullfree | 7/10 | Cclaimed | |
Do everything through the API that I can do in the UI G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | partial | 6/10 | Tprobed | |
Get a sourced, LLM-generated answer to a query in a single API call C Llm ready results | developer | Search quality — stories about search quality in this arenaSearch quality | 2 | partialpaid | 6/10 | Xcommunity | |
Localize results by country, language, or location parameters C Targeting | data engineer | Freshness coverage — stories about freshness coverage in this arenaFreshness coverage | 2 | partialfree | 6/10 | Cclaimed | |
Prototype against the API on a free tier or free credits G Pricing clarity | developer | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 2 | disputed | 5/10 | Dcontradicted | |
Perform bulk operations across many items at once G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | partialfree | 3/10 | Cclaimed | |
Read a documented stance on robots.txt, content licensing, and permitted use of results C Citation fidelity | data engineer | Citations trust — stories about citations trust in this arenaCitations trust | 2 | disputed | 3/10 | Dcontradicted | |
Get structured output matching a JSON schema I define C Page contents | developer | Content extraction — stories about content extraction in this arenaContent extraction | 2 | none | 0/10 | ||
Choose between keyword, neural, or hybrid retrieval modes per query C Retrieval modes | developer | Search quality — stories about search quality in this arenaSearch quality | 2 | none | untested | none yet | |
Choose where my data is stored (region/residency) G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Control data retention and deletion G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Opt out of telemetry and usage tracking G | ai-native user | Privacy posture — data-handling and privacy storiesPrivacy posture | 2 | none | untested | none yet | |
Read documented rate limits and concurrency caps with a self-serve upgrade path G Pricing clarity | developer | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 2 | none | untested | none yet | |
Read the product's source under an open license G | ai-native user | Openness — open source, data portability, and self-hosting storiesOpenness | 2 | none | untested | none yet | |
Schedule recurring jobs or workflows G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 2 | n/a | untested | none yet | |
Submit batched or asynchronous jobs for high-volume query workloads C Scale throughput | data engineer | Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits | 2 | none | untested | none yet | |
Crawl subpages or entire sites starting from a search result C Page contents | data engineer | Content extraction — stories about content extraction in this arenaContent extraction | 1 | none | 0/10 | ||
Find pages similar to a URL I already have C Retrieval modes | developer | Search quality — stories about search quality in this arenaSearch quality | 1 | none | untested | none yet | |
Read per-result relevance scores to threshold what enters my pipeline C Query filters | developer | Filters controls — stories about filters controls in this arenaFilters controls | 1 | none | untested | none yet | |
Version, review, and roll back my automations G | ai-native user | Automation depth — how much of the product can run unattendedAutomation depth | 1 | n/a | untested | none yet |
Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 30 stories with headroom
What would move Brave Search API’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.
Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models
nonemoves PA Scoreimpact 30
No evidence pack item addresses a user-facing control or policy for preventing personal data from being used to train AI models; the closest evidence (comm-1, comm-2) discusses ToS restrictions on using API *responses* for AI inference and a separate 'AI Inference' plan, not data-training opt-out.
Search quality — stories about search quality in this arenaRun meaning-based semantic search that finds results keyword engines miss
nonemoves PA Scoreimpact 30
The evidence describes Brave Search API as a keyword/index-based crawler service (crawls and indexes billions of pages, supports site:, quotes, exclusion operators) plus AI-generated summaries/answers layered on top of search results — nothing describes vector/embedding-based semantic retrieval that surfaces results a keyword engine would miss.
Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to paySee clear per-request or per-credit pricing without talking to sales
nonemoves PA Scoreimpact 30
The evidence pack contains no docs or pages showing actual per-request or per-credit pricing figures, tiers, or a self-serve pricing table; the only related mentions are community references to a 'free tier' and a separate 'AI Inference plan' (brave-search-api-comm-1, brave-search-api-comm-2) that imply multiple plans exist but give no concrete pricing numbers or confirmation that pricing is disclosed without contacting sales.
Agenticness — how well agents can access and operate the productUse an official CLI
nonemoves agent-readyimpact 30
The evidence pack documents an official MCP server, various integration guides, and 'Skills' for third-party CLIs (e.g., Gemini CLI, Claude Code) but no dedicated first-party Brave Search API CLI tool is mentioned anywhere.
Agenticness — how well agents can access and operate the productIssue scoped/least-privilege API credentials for an agent
nonemoves agent-readyimpact 30
The evidence shows only basic API key retrieval and general dashboard docs; there is no mention of scoped, role-based, or least-privilege credential issuance, key permissions, or agent-specific access controls.
Agenticness — how well agents can access and operate the productSubscribe to events via webhooks
nonemoves agent-readyimpact 30
Brave Search API is a request/response search API with an MCP server for agent tool use, but no evidence anywhere in the pack of a webhook/event subscription mechanism.
Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)
nonemoves API qualityimpact 30
Direct probes for an OpenAPI/Swagger spec at all standard locations (openapi.json, swagger.json, etc.) returned 404, and no evidence item links to a downloadable machine-readable spec file; only a documentation site and an llms.txt summary page exist, not a formal API spec.
Agenticness — how well agents can access and operate the productRely on versioned APIs with a documented deprecation policy
nonemoves API qualityimpact 30
The evidence pack contains extensive documentation of endpoints, features, and integrations, but nothing about API versioning scheme, version numbers, changelog, or a documented deprecation/sunset policy — a fair and applicable axis for any developer-facing API.
Showing the top 8 of 30 — every none/partial verdict in the story verdicts table is headroom.
Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.
Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map8 surfaces · 22 covered stories
Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.
App docs19 stories
- Point an agent at llms.txt or agent-oriented docs
- Run the product headlessly / in CI for automation
- Drive the product through a documented public API
- Get AI-generated insights and suggestions from my data inside the product
- Operate the product with natural-language commands
- Explore an interactive API reference with runnable examples
- Perform bulk operations across many items at once
- Rely on results carrying canonical URLs, titles, and published dates so my app can cite sources accurately
- Have an agent run a multi-step research flow — search, extract contents, and synthesize — through one API
- Retrieve full page text or markdown for results, not just snippets
- Restrict or exclude specific domains from my search results
- Get fresh results with date-range and recency filters backed by a frequently updated index
- Query dedicated verticals like news, images, or finance through specific endpoints or category filters
- Localize results by country, language, or location parameters
- Do everything through the API that I can do in the UI
- Prototype against the API on a free tier or free credits
- Plug the API into an agent as a ready-made tool, with function-calling schemas and agent-framework integrations designed for direct tool-call consumption
- Get a sourced, LLM-generated answer to a query in a single API call
- Get results sized and ranked for direct use as LLM context in a RAG pipeline
Hacker News11 stories
- Connect an agent via an official MCP server
- Drive the product through a documented public API
- Get AI-generated insights and suggestions from my data inside the product
- Operate the product with natural-language commands
- Read a documented stance on robots.txt, content licensing, and permitted use of results
- Have an agent run a multi-step research flow — search, extract contents, and synthesize — through one API
- Do everything through the API that I can do in the UI
- Prototype against the API on a free tier or free credits
- Plug the API into an agent as a ready-made tool, with function-calling schemas and agent-framework integrations designed for direct tool-call consumption
- Get a sourced, LLM-generated answer to a query in a single API call
- Get results sized and ranked for direct use as LLM context in a RAG pipeline
Documentation docs11 stories
- Point an agent at llms.txt or agent-oriented docs
- Build against official SDKs
- Get AI-generated insights and suggestions from my data inside the product
- Operate the product with natural-language commands
- Have an agent run a multi-step research flow — search, extract contents, and synthesize — through one API
- Retrieve full page text or markdown for results, not just snippets
- Query dedicated verticals like news, images, or finance through specific endpoints or category filters
- Do everything through the API that I can do in the UI
- Plug the API into an agent as a ready-made tool, with function-calling schemas and agent-framework integrations designed for direct tool-call consumption
- Get a sourced, LLM-generated answer to a query in a single API call
- Get results sized and ranked for direct use as LLM context in a RAG pipeline
GitHub README10 stories
- Point an agent at llms.txt or agent-oriented docs
- Run the product headlessly / in CI for automation
- Connect an agent via an official MCP server
- Build against official SDKs
- Get AI-generated insights and suggestions from my data inside the product
- Operate the product with natural-language commands
- Have an agent run a multi-step research flow — search, extract contents, and synthesize — through one API
- Plug the API into an agent as a ready-made tool, with function-calling schemas and agent-framework integrations designed for direct tool-call consumption
- Get a sourced, LLM-generated answer to a query in a single API call
- Get results sized and ranked for direct use as LLM context in a RAG pipeline
Search docs7 stories
- Run the product headlessly / in CI for automation
- Connect an agent via an official MCP server
- Operate the product with natural-language commands
- Rely on results carrying canonical URLs, titles, and published dates so my app can cite sources accurately
- Read a documented stance on robots.txt, content licensing, and permitted use of results
- Restrict or exclude specific domains from my search results
- Plug the API into an agent as a ready-made tool, with function-calling schemas and agent-framework integrations designed for direct tool-call consumption
API reference6 stories
- Get AI-generated insights and suggestions from my data inside the product
- Operate the product with natural-language commands
- Explore an interactive API reference with runnable examples
- Perform bulk operations across many items at once
- Localize results by country, language, or location parameters
- Do everything through the API that I can do in the UI
OpenAPI spec5 stories
- Drive the product through a documented public API
- Build against official SDKs
- Explore an interactive API reference with runnable examples
- Do everything through the API that I can do in the UI
- Plug the API into an agent as a ready-made tool, with function-calling schemas and agent-framework integrations designed for direct tool-call consumption
Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence
6 of 10 testable claims verified · 1 contradicted → integrity 40/100
30 distinct capability claims found in Brave Search API’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.
6
Verified
3
Unverified
1
Contradicted
11
Undersold
Verified (16)
“Quick onboarding: get an API key and make your first search request in minutes”
Drive the product through a documented public APIfullproof ↗
“Web search results are pre-extracted and optimized for AI agents, LLM grounding, and RAG pipelines”
Get results sized and ranked for direct use as LLM context in a RAG pipelinepartialproof ↗
“Extra snippets feature returns up to 5 additional excerpts per result for more context”
Get results sized and ranked for direct use as LLM context in a RAG pipelinepartialproof ↗
“Local Search API can fetch AI-generated descriptions for locations via a descriptions endpoint”
Query dedicated verticals like news, images, or finance through specific endpoints or category filtersfullproof ↗
“Rich Search API responses include real-time vertical data such as sports, stocks, and weather”
Query dedicated verticals like news, images, or finance through specific endpoints or category filtersfullproof ↗
“Guide to connect Brave Search as a tool in Claude desktop via Model Context Protocol (MCP)”
“MCP server implementation providing web, local business, place, image, video, news search, LLM context, and AI summarization”
“Generates AI-powered summaries from web search results via a dedicated summarization API/tool”
Get a sourced, LLM-generated answer to a query in a single API callpartialproof ↗
“Provides grounded answers based on one or multiple searches to improve accuracy and reduce hallucinations”
Get a sourced, LLM-generated answer to a query in a single API callpartialproof ↗
“Local Search API accepts up to 20 location IDs to fetch detailed POI information”
Query dedicated verticals like news, images, or finance through specific endpoints or category filtersfullproof ↗
“LLM Context endpoint is purpose-built for machine consumption by agents/chatbots, benchmarked as top Search API for AI”
Plug the API into an agent as a ready-made tool, with function-calling schemas and agent-framework integrations designed for direct tool-call consumptionpartialproof ↗
“Provides AI-generated answers backed by real-time web search with verifiable sources”
Get a sourced, LLM-generated answer to a query in a single API callpartialproof ↗
“Delivers real-time news articles from thousands of trusted sources worldwide via a news vertical”
Query dedicated verticals like news, images, or finance through specific endpoints or category filtersfullproof ↗
“Image search across billions of images with advanced filtering and SafeSearch”
Query dedicated verticals like news, images, or finance through specific endpoints or category filtersfullproof ↗
“Guide to integrate Brave Search API with OpenClaw agents for enhanced web search context”
Plug the API into an agent as a ready-made tool, with function-calling schemas and agent-framework integrations designed for direct tool-call consumptionpartialproof ↗
“Guide to set up Brave Search API in Dify for real-time search within AI agent orchestration”
Plug the API into an agent as a ready-made tool, with function-calling schemas and agent-framework integrations designed for direct tool-call consumptionpartialproof ↗
Unverified (8)
“Filter results to only those from the last 24 hours for the most recent content”
Get fresh results with date-range and recency filters backed by a frequently updated indexfullproof ↗
“Target search results from specific countries using country codes”
Localize results by country, language, or location parameterspartialproof ↗
“Goggles let you apply custom re-ranking to boost or demote specific websites/domains”
Restrict or exclude specific domains from my search resultsfullproof ↗
“Supports site-specific search queries like site:github.com”
Restrict or exclude specific domains from my search resultsfullproof ↗
“Crawls and indexes billions of web pages to keep search results fresh and accurate”
Get fresh results with date-range and recency filters backed by a frequently updated indexfullproof ↗
“Offers powerful date-based filtering to surface the most relevant/recent content”
Get fresh results with date-range and recency filters backed by a frequently updated indexfullproof ↗
“Guide covers using an official CLI-like node/pipeline in n8n for automation (duplicate of Goggles feature)”
Restrict or exclude specific domains from my search resultsfullproof ↗
“Supports advanced query operators: exact phrase quotes, minus-term exclusion, and site-specific search”
Restrict or exclude specific domains from my search resultsfullproof ↗
Contradicted (1)
“Official community node lets you use Brave Search within n8n automation workflows”
Set up automations that run autonomously in the backgroundn/a
Undersold (11)
Point an agent at llms.txt or agent-oriented docsfullproof ↗
Run the product headlessly / in CI for automationfullproof ↗
Get AI-generated insights and suggestions from my data inside the productfullproof ↗
Operate the product with natural-language commandsfullproof ↗
Explore an interactive API reference with runnable examplespartialproof ↗
Perform bulk operations across many items at oncepartialproof ↗
Rely on results carrying canonical URLs, titles, and published dates so my app can cite sources accuratelypartialproof ↗
Have an agent run a multi-step research flow — search, extract contents, and synthesize — through one APIpartialproof ↗
Retrieve full page text or markdown for results, not just snippetsfullproof ↗
Do everything through the API that I can do in the UIpartialproof ↗
Claims outside our story set (5)
Real capability claims found in Brave Search API’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.
“API response includes a more_results_available flag to guide pagination and avoid unnecessary calls”
source ↗“SafeSearch parameter controls adult content filtering with off/moderate/strict levels”
source ↗“Guide to set Brave Search as the default search engine in Open WebUI”
source ↗“Recommends checking more_results_available field rather than blind offset iteration for pagination”
source ↗“Powered by Brave's own independent search index, the same one behind Brave Search”
source ↗
Pricing signals
- $5per 1k searchespay-as-you-goSearch plan pay-as-you-go rate per 1,000 requestssource ↗as of 2026-09-07
- $4per 1k searchespay-as-you-goAnswers plan rate per 1,000 requests (plus token costs not extracted)source ↗as of 2026-09-07
- freeper 1k searchesfree tierEvery account gets $5 in free credits each month, automatically appliedsource ↗as of 2026-09-07
Extracted verbatim from the vendor’s own pricing page — hover a figure for the exact quote.
Business model
Free plan with capped monthly queries, then metered per-1k-request pricing across Base and Pro tiers for web, news, image, and AI-grounding endpoints; custom enterprise terms.
pricing ↗Score trend
How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.
Flag
⚑ Flag a verdictThink a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.
For agents
Agent surface uptime llms.txt 100% (30d, checked every 6h since Sep 8 '26)