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POST /v1/research

Deep research

Some questions need ten searches and thirty pages. Hand them to a research task: it plans the searches, reads the sources, fills the gaps and returns a report where every claim cites a numbered source.

How it works

Async research tasks that end in a cited report.

POST /v1/research starts a background task and returns 202. Claude Haiku 5.5 plans the Google queries; the pages they find are read and ranked against the task; a decision model checks coverage and drops off-topic sources; Claude reviews what is missing and plans follow-up rounds; then it writes the report.

Pick the effort: lite (3 queries, 1 round) for 30 credits, standard (5 queries, 2 rounds) for 75, or deep (8 queries, 3 rounds) for 200. The price is flat, reserved at enqueue and charged only when the report is written.

Poll GET /v1/research/{id} or take the signed research.completed webhook. The result has the Markdown report, the citations, every source with the query that found it, every query run, and with output_schema a JSON value too.

curl https://api.serpkite.com/v1/research \
  -H "Authorization: Bearer $SERPKITE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input":"compare espresso machines under $500 for a small office","effort":"standard"}'

Effort levels

Effort levels
EffortFirst-round queriesRoundsPages per queryCredits
lite31230
standard52375
deep834200

Why it matters

What you get

01

Real Google searches

Every query and the source it found are in the result, so you can check the work.

02

Numbered citations

The report cites [n] sources, with title, link, domain and published date.

03

Flat price, paid on success

No token math. A failed task is refunded; a canceled one pays only for searches run.

04

Built for agents

MCP research and research_result tools, a signed webhook, and JSON via output_schema.

FAQ

Deep research: common questions

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