AI search API integration: build on evidence, scopes and durable states.
An AI-search API integration should expose stable resources for buyer questions, provider answers, citations, opportunities, approvals, publications and outcomes. Every response needs workspace scoping, literal status and durable identifiers. Write operations should be idempotent and asynchronous work should expose queued, running, blocked, failed and verified states instead of returning a generic success response.
Founder of Eli · Researched and reviewed · 10 August 2026
Crawl
Render
Understand
Index
Eligible for retrieval
The question this page answers
Integrate AI search evidence and execution through an API
Which resources form the core API?
Model companies, questions, runs, provider responses, citations, recommended work, approvals, publication receipts and outcome events. Keep raw evidence addressable so a score or recommendation can be audited later.
How should authentication and limits work?
Use scoped keys or OAuth, enforce workspace isolation and publish clear rate and plan limits. Avoid secrets in browser code and make revocation immediate. Return authorization errors distinctly from provider or validation failures.
- Workspace scope
- Least privilege
- Rate contract
- Revocable credentials
What makes automation dependable?
Provide idempotency keys, pagination, versioning, webhooks or polling states and verification receipts. Never mark a publication complete until the public destination has been independently checked.
Questions buyers ask next
Should the API return estimated data when a provider fails?
Not as observed evidence. Estimates must be explicitly labelled and kept separate from saved provider answers.
How should long-running checks respond?
Return a durable job identifier and a literal state that can be polled or delivered through an authenticated webhook.
Can API users bypass plan limits?
No. The API and dashboard should use the same entitlement and authorization engine.
Primary sources
Find the buyer question you are losing
Run the free scan to see the observed competitors and evidence behind your first AI search gap. No ranking is promised or invented.
Check this gap for your company