
What Is Data Residency for a Search API? A Practical Guide
TLDR: Data residency is the question of where your data physically lives when you call an API: where the request travels, where it is processed, and where any logs or copies are stored afterward. For search APIs the stakes are higher than most integrations, because queries carry intent and results get cached. This guide covers what residency means for a search call, the questions to ask any vendor, what you control on your side, and how zero data retention options work.
Most teams treat a search API as a stateless lookup. It is not. The moment you send a query, your data exists in at least three places: in transit, on the vendor's processing infrastructure, and in whatever logs, caches, or debugging stores the vendor maintains. If your organization has rules about where data may live, and many regulated and enterprise teams do, a search integration inherits those rules. You.com publishes its data-handling options in the Web Search API documentation, and this guide tells you what to look for in any vendor, including ours.
What Does Data Residency Mean for an API Call?
Residency for an API integration covers three distinct stages, and vendors may treat each differently.
- In transit: the request and response moving between your system and the provider. TLS is standard, but transit residency is about the network path, and most providers document little about it.
- In processing: the moment the query is handled, ranked against an index, and assembled into a response. This is where the "where" question bites, because processing infrastructure has a physical location even when nothing is stored.
- At rest: logs, caches, debugging stores, and analytics the provider keeps after your call completes. This is usually where residency commitments are won or lost, because it is data you no longer control on a machine you cannot audit.
A vendor can be perfectly honest and still surprise you: the processing may be in one region while the logging pipeline ships data to another for operational analytics. That is why residency conversations need to cover all three stages explicitly, not just "where are your servers."
Why Do Search APIs Warrant Extra Scrutiny?
Because queries are content, not just traffic. A search query tells the provider what your users are working on, what your product is about to build, and sometimes what they are worried about. Teams that would never email a vendor their roadmap happily stream thousands of query strings to a search endpoint, and agents amplify this: an agent that searches before every answer sends every task through the API.
Results are content too. Cached responses, extraction modes that return full page contents, and any derived analytics all extend how long your request data persists somewhere you do not manage. The practical consequence is the same for both directions of the call: the search integration is a data flow, and it belongs in your data inventory like any other.
What Should You Ask a Search API Vendor?
Five questions cover the ground. Bring them to any vendor, including us.
- Where is my request processed? Not where the company is headquartered, where the compute that handles your calls is located, for every region you operate in.
- What exactly is logged, and for how long? The useful answer names the fields: query text, response bodies, timestamps, identifiers. "We log minimally" is not an answer you can put in a policy document.
- Can retention be switched off? Some vendors offer a zero data retention option. Ask what it covers, request and response content, metadata, or one of them, and what it costs in integration changes.
- Who are the subprocessors, and where do they sit? Search infrastructure usually has upstream providers. Their locations are part of your residency answer.
- What agreements are available? A data processing agreement and the vendor's security documentation are the artifacts your review process will actually need.
This checklist is the decision framework: a vendor who answers all five in writing is workable, and a vendor who answers three is a risk you are choosing to carry.
What Can You Control on Your Side?
Residency is not only the vendor's problem. Three habits reduce what leaves your perimeter in the first place.
Strip what you can from queries. Agent pipelines often paste user text, identifiers, or internal context into search queries. Redact or trim before the call, because a query you never sent is a residency question you never have to answer.
Keep your own logging tight. Your side of the integration can leak too. If you log queries and responses locally, put them under the same retention rules as other regulated data, because moving the log from the vendor to you does not remove it from the audit.
Separate keys by environment. Distinct API keys for dev, staging, and production let you scope any incident and prove which traffic was real. It also lets production keys carry production handling rules without dragging test traffic into scope.
What Does Zero Data Retention Look Like in Practice?
The strongest retention control in the market is an explicit zero data retention option, where the provider restricts retention of request and response content. You.com offers this for the Web Search API as an option added to an enterprise agreement: it restricts retention of Web Search API request and response content account-wide and requires no changes to your integration, as documented on the Zero Data Retention page in our docs. The detail worth noticing is the last one: a retention option that forces integration changes usually ships late or never, because every week of migration is a week of risk. An option you can turn on without touching code is one you will actually use.
What Failure Modes Show Up in Audits?
The unasked question. The integration was reviewed at the API level but nobody asked where logs live, and the first audit finding quotes the vendor's log retention policy back to you. Detection: run the five-question checklist above before signing, and file the written answers with the integration record.
Scope drift. A retention or residency agreement covers one product, then the team adds another endpoint from the same vendor assuming the coverage follows. Detection: enumerate every endpoint in use per vendor, and re-check coverage when a new one enters production.
Query content surprises. Six months in, someone greps logged queries and finds user-identifiable content that engineering never meant to send. Detection: sample production queries monthly for PII-shaped content, and fix the pipeline at the source when you find it.
Related Guides
- Web Search API: Programmatic Access to Real-Time Web Data
- 7 Things Enterprises Need in a Web Search API
- What Is a Web Search API? The Foundation for AI That Knows the Live Web
- You.com vs. Glean: A Guide for Orgs Exploring Glean Alternatives
FAQ
Is data residency the same thing as compliance? No. Residency is about where data lives. Compliance is a claim about meeting a specific standard, and compliance claims belong in vendor trust documentation, not in a blog post. Residency is a question you can answer factually about any vendor.
Does the You.com Web Search API store my queries by default? What is documented publicly is the Zero Data Retention option: organizations can add it to an enterprise agreement, and it restricts retention of Web Search API request and response content account-wide with no integration changes. For default retention details outside that option, the docs page and our team are the authoritative source.
Can I control residency purely from my own code? Partially. You control what you send, so redaction and query hygiene are fully yours. Where the provider processes and stores data is theirs, which is why the vendor questions matter before you build.
What is the single best question to ask a vendor? "What exactly do you log from a search request, where does it live, and for how long?" It forces the three-part answer every other residency question depends on.
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