Search API used by AI agents, the data layer for retrieval-augmented LLM apps.
No published price. Every plan starts with a sales call.
Fetch covers url content extraction, sub-2 second latency, synchronous, 4,000 complimentary queries for new accounts.
The top tier is quoted by sales, so there is no published ceiling.
Per-request pricing makes monthly cost hard to forecast for high-volume agents
6 recurring complaints show up in public reviews, and 0 of them come up often.
Praise is just as consistent: built specifically as an api for ai agents and llms, not retrofitted from a consumer search product.
Sales led, so the price depends on the conversation.
The most frequently raised complaint: per-request pricing makes monthly cost hard to forecast for high-volume agents.
It reports where you stand. Turning that into published pages and earned citations is still work somebody has to do.
| Included | Fetch$0.001 - $0.005 per requestusage-based | Search$0.005 - $0.006 per requestusage-based | Research$0.25 - $2.50 per requestusage-based | EnterpriseCustomannual |
|---|---|---|---|---|
| 1 | URL content extraction | Web search tool calls for AI agents | Asynchronous deep research over the web | Personalized indexes |
| 2 | Sub-2 second latency, synchronous | Fast, Standard and Deep variants | 1-10 minute latency | Dedicated index refresh rates |
| 3 | 4,000 complimentary queries for new accounts | 1-3 second synchronous latency | Multi-step reasoning with citations | Private environments and bring-your-own-cloud |
| 4 | · | Sourced, cited answers with full-text snippets | · | IP whitelisting, ZDR, SOC 2 Type II, SLA |
| 5 | · | · | · | Dedicated support |
Built specifically as an API for AI agents and LLMs, not retrofitted from a consumer search product
Licenses content from publishers and pays them on usage, so results are legal and citation-safe
Sub-second search latency is fast enough for real-time agent tool calls
Free tier ships 4,000 queries and startups can apply for $5,000 in credits
Per-request pricing makes monthly cost hard to forecast for high-volume agents
Deep Research mode can cost up to $2.50 per call, expensive at scale
Not a visibility, SEO or content product, it is a raw search API and you build the workflow yourself
No G2 or Capterra reviews yet, the company only launched its API in late 2024
Fetch API
Synchronous URL content extraction in under 2 seconds, returns clean markdown
Search API
Web search tool calls with sourced, cited answers and full-text snippets in 1-3 seconds
Research API
Asynchronous deep research that runs multi-step reasoning over the web and returns a cited report
Tunable index
Filter by source allowlist, freshness window and content type
Private index
Deploy Linkup over your own proprietary documents
Bring Your Own Cloud
Run the Linkup runtime inside your own AWS, GCP or Azure account
Buy Linkup
Right when in-house team to run it. You get the measurement, and the work of turning it into published pages and earned citations stays with your team.
Hire someone to run it
Right when nobody to act on it. Disclosure: this is what we sell, which is a reason to read us critically. It is also why every figure here carries the date we checked it, and every judgement carries the quote it came from.
Search API used by AI agents, the data layer for retrieval-augmented LLM apps.
Linkup does not publish list pricing; plans are quoted on request. Checked 7 June 2026.
Yes. Linkup offers a free tier or trial.
The most frequently raised issue is: Per-request pricing makes monthly cost hard to forecast for high-volume agents
Sales led, so the price depends on the conversation. Buy the tool if in-house team to run it. A managed service is the better fit when nobody in-house has hours each week to act on what it reports.
Thirty minutes. We show you the buyer questions where an engine names a competitor instead of you, and say plainly whether a tool or a managed programme fits your situation.
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