Real-Time Web Intelligence for AI Agents
The Linkup Team
Sapiom embeds Linkup as its AI search layer, giving agents live web intelligence through one unified AP
At a Glance
Company. Sapiom is an access network for AI agents. Through a unified financial layer, agents can seamlessly purchase and access software, APIs, data, and compute.
The Problem. Agents building on Sapiom needed reliable, real-time web intelligence without forcing developers to manage a separate search vendor, API key, or billing relationship.
Implementation. Linkup's search API is embedded directly in Sapiom's access network. Agents call the Linkup endpoint and Linkup fulfills the query under the hood, with full access to control parameters.
Key Results
- Agents can query the live web in a single call with no additional vendor onboarding
- Developers building on Sapiom inherit Linkup's real-time results and source citations without writing any integration code
- Verifiable, source-cited context snippets support reliable downstream agent workflows
Introduction
Sapiom builds the execution engine for AI agents: a single API key that gives agents access to search, compute, authentication, and more, without a separate vendor account for each capability. Sapiom needed a web search layer their agents could call autonomously, at production volume, with results trustworthy enough to feed directly into agentic reasoning chains—leading them to choose Linkup.
The Challenge
Agents built on Sapiom's platform need access to real-time information. A campaign-writing agent needs to understand what competitors announced last week. A financial research agent generating a report needs live global context—not stale training data or outdated earnings reports. Before Linkup, getting agents access to real-time intelligence meant stitching together fragmented tooling, relying on slow manual research, or building and maintaining brittle search infrastructure from scratch.
Sapiom sought to give agents access to the world's information through a single key, with billing handled in the background. Before Linkup, their pain points were:
- Fragmented credentials: Each search vendor meant one more API key outside Sapiom's unified billing layer.
- Stale data risk: Agents relying on pre-indexed or cached content return outdated information into live workflows.
- Low trust in outputs: Teams lacked clear sourcing and verifiability, making it difficult to confidently use agent-generated insights downstream.
Why They Chose Linkup
Sapiom evaluated what a search integration needed to look like inside an execution engine. The results had to be structured well enough to feed into multi-step agent reasoning without additional parsing. The API had to be stateless and low-latency so agents could call it mid-task without stalling. And the pricing model had to be metered per query, so Sapiom users only pay for what their agents actually use.
Linkup met all three requirements. Further, Linkup enabled:
- Per-query pricing ($0.006) that fits a usage-based infrastructure model without subscriptions or minimums
- Structured results with source citations, ready for direct use in agentic reasoning chains
Implementation
Linkup's search API sits inside Sapiom's access network as the AI search capability. The flow involves:
- The agent issues a search call in Sapiom with a natural-language query during task execution.
- Sapiom routes the request to Linkup's search API and receives structured results with source citations.
- Results are returned to the agent in the same call response, billed at $0.006 per standard search through the agent's Sapiom wallet.
- Spend is tracked and controllable at the agent level through Sapiom's existing budget infrastructure.
Results
- Agents on Sapiom's platform can access live web results with a single tool call, with no additional vendor onboarding required from developers.
- Web search is now part of Sapiom's unified capability surface.
- Developers pay only for the queries their agents actually run.
- Linkup's source citations give agents verifiable grounding, helping them make better decisions in downstream workflows.
Conclusion
Sapiom's bet is that AI agents cannot reach their potential while access to real-world services remains fragmented, manual, and credential-heavy. Linkup gives agents direct access to real-time web intelligence through a unified, metered API directly in Sapiom's execution layer. Developers get real-time, verifiable context without managing separate search stacks, vendor relationships, or additional operational complexity.
Ready to give your agents the context they need? Get started on Sapiom or learn more about Linkup.
FAQ
What is Sapiom and how does it use Linkup?
Sapiom is a financial infrastructure and execution platform for AI agents. It uses Linkup as its AI search layer, so agents can query the live web through Sapiom's unified API without a separate search vendor account.
How does Linkup's pricing model fit into Sapiom's pay-as-you-go architecture?
Linkup charges per search query, which maps directly onto Sapiom's usage-based billing model. Developers building on Sapiom pay for the web searches their agents actually run, with no subscriptions or minimums.
Can agent spending on web search be controlled through Sapiom's budget features?
Yes. Search spend flows through the same Sapiom wallet and budget controls as every other capability on Sapiom's network. Developers can set spending limits or configure alerts at the agent level.
