Your team is building internal AI workflows to assess tenders. The Tenderlake Monitor API gives those workflows their input: a clean, structured, deduplicated stream of relevant notices – with a SaaS interface to configure exactly what flows in.
If you're planning an internal tender assessment pipeline, the AI part is the interesting work. But before your models see a single notice, you need:
That is months of engineering before your actual objective starts – and a permanent operational burden after.
Tenderlake Monitor is that entire layer, already running. You consume the output through the API: structured JSON, one notice per opportunity, deduplicated, translated, and matched to your interests.
And here is the part organisations tell us is better than what they had planned to build: the input side is configured, not coded. Your bid or market team defines AI Searches – plain-language descriptions of what the organisation delivers – in the Tenderlake Monitor interface. The API then delivers what those searches match. Changing what flows into your pipeline is an edit in a UI, not a deployment.
You keep full control of the downstream: your models, your scoring, your workflow, your systems.
An abridged item from GET /v1/foldernotices – the API reference documents the full schema:
{
"noticeId": "b75f6c9f-1664-454b-a349-…",
"PublishedDate": "2026-08-20T00:00:00",
"DeadlineDate": "2026-09-19T12:00:00",
"OrganisationName": "…",
"AlternativeTitle": "Occupational health
services framework",
"NoticeSummary": "Four-year framework for
occupational health assessments and
workplace advisory services …",
"HasTranslation": true,
"LGs": ["da", "en"],
"ValueLow": 2400000,
"Currency": "DKK",
"CpvCodes": ["85147000"],
"NutsCodes": ["DK042"],
"AIsearchResults": [
{ "AIsearchTitle": "Occupational health",
"AssessmentScore": 9 }
],
"TenderlakeLink": "https://…"
}The details you would check before deciding this is easier than building it.
A full OpenAPI 3 specification and an interactive reference cover every endpoint, parameter and schema – talk to us and we will walk your engineers through it.
API-key authentication over HTTPS via a request header – the right shape for a scheduled pipeline job. No OAuth dance, no token refresh logic to maintain.
Stable notice ids, paged responses, and date-window filters mean "everything new since our last run" is one request – the natural shape for a polling pipeline.
A summary mode drops the per-notice detail arrays and shrinks the payload by roughly 90% – for scans, counts and table views where only the card fields matter.
Your pipeline's verdicts flow back: endpoints add, copy and remove notices in shared folders, so what your models select shows up for the team inside Tenderlake Monitor.
Documented rate limits, a response header reporting your remaining daily notice allocation on every call, and unauthenticated health and version endpoints for your monitoring.
If your pipeline is agent-based, Tenderlake Analyst is available today as a remote MCP server: your agents can search notices, examine buyers, frameworks, awards and call-offs, run and read AI Searches, and pull notice details on demand. It connects to Claude, ChatGPT, Gemini, Copilot or any other MCP-capable assistant or agent framework – users authorise it by signing in with their Tenderlake account, with no keys to copy around. REST API access to Tenderlake Analyst is available on request – tell us what your workflow needs.
Read about Tenderlake AnalystTell us what you're planning – we'll show you the API and the configuration layer, and you can judge whether it beats building your own.
Talk to us about API accessYes. Tenderlake Monitor delivers matched tender notices as structured JSON over a REST API. You configure what the API delivers using AI Searches in the Tenderlake Monitor interface.
Yes – that is exactly what the API is for. Organisations use it as the ingestion layer for internal tender assessment pipelines, keeping their own models and workflow downstream.
Coverage is the UK, all EU countries and the EEA, with full, continuous above-threshold coverage back to 2012 and below-threshold coverage where a national regime publishes it. World Bank tenders and notices from EU and UK international development agencies are included. Federal procurement in the United States and Canada is available as a paid add-on.
Notices are translated so your workflow assesses every opportunity in one language, with the original preserved.
No. Many teams only open the interface to configure or refine their AI Searches. The pipeline itself runs entirely against the API.
A filtered stream. Your AI Searches determine what the API delivers, so your pipeline processes relevant opportunities rather than every notice published.
Yes. A full OpenAPI 3 specification and an interactive reference cover every endpoint, parameter and schema. Contact us and we will walk your engineers through it against your planned pipeline.
Yes. The API includes endpoints to add, copy and remove notices in shared folders, so the opportunities your models select appear for the rest of the team inside Tenderlake Monitor.
Yes. Tenderlake Analyst is available as an MCP server, so agents can search notices, examine buyers, frameworks and awards, and pull notice details on demand. REST API access to Tenderlake Analyst is available on request.
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