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openapi: 3.2.0
info:
title: SerpKite SERP Extract API
version: 1.12.4
description: 'Public search API (api.serpkite.com). Google results as clean JSON or Markdown
for AI agents, plus a Google Custom Search–compatible endpoint. Official SDKs:
`serpkite` on npm and PyPI, `github.com/serpkite/serpkite-go`. **Auth:** `Authorization: Bearer skt_live_…`. A bare `Authorization: skt_live_…`
(no scheme) is also accepted, for MCP hosts that can''t add one. GET requests
may pass `?api_key=` instead. `/customsearch/v1` also accepts Google''s `?key=`. **Bodies:** every vertical accepts `POST` with a JSON object or `GET` with the
same parameters in the query string (only `GET /v1/search` is spelled out
here). Unknown parameters are rejected with 400, and so is a parameter the
endpoint would ignore (e.g. `time` on `/v1/scholar`, `ll` on `/v1/search`). To run many queries at once,
use `POST /v1/batches`. **Formats:** `format=json` (default) returns the schemas below. `format=markdown` returns `text/markdown` for every vertical. `format=compact` and `fields=` return a reduced JSON object (same top-level
keys, fewer item fields, `meta` always kept), so required item fields may be
absent there. **Responses** share one envelope: `request` (the normalised request),
`results` (the vertical''s primary list), vertical-specific extras and `meta`. All keys are snake_case. **Credits** are decimal numbers (e.g. `0.5`). Failed, empty and blocked
responses are refunded. Every billed response carries `X-Credits-Used`,
`X-Credits-Remaining`, `X-Cost-USD`, `X-Cache` (`HIT`|`MISS`), `X-Latency-Ms`,
`X-Tokens-Estimate` and `X-Request-Id`. **Errors** share one body: `{"error":{"code","message","request_id"}}`. Upstream failures (`upstream_error`, `upstream_blocked`, `upstream_timeout`)
are `503` with `Retry-After`, never billed and safe to retry. The API never
returns `502` or `504`. `429` also carries `Retry-After`: `rate_limited` is
the per-second limit; `daily_limit_reached` is the free daily limit of an
account that never bought a pack, which resets at 00:00 UTC (the message
names the limit and the billing page; buying any pack removes it). `403 account_restricted` means the account''s free use is paused because it
appears to be one of several accounts run by the same person (same device
or network, or requests in step with other accounts) or uses a disposable
email address; buying any pack lifts it. **CORS:** `Access-Control-Allow-Origin: *` without credentials; the `X-*`
headers above are exposed, so a browser playground can call the API with a key. The keyless `/playground/search` is the exception: it only answers serpkite.com
and app.serpkite.com (other `Origin`s get 403). Credit table: search/news/images/videos/maps/places/shopping/scholar/patents/
webpage/customsearch = 1 per page; place details = 1; `num=100` depth bundle = 7; reviews = 1 per 10;
autocomplete = 0.5; `include_content` = +1 per fetched page;
batches ×0.5 (from 2026-11-23 a batch depth request is 0.5 per page with
results, without the bundle cap: `num=100` = 5); cache hit via `max_age` ×0.5. `engine=consensus` (search only) =
the sum of one page per provider that returned results. **AI** (Claude writes, OpenAI''s Decisions API runs typed checks; a failed
model step is never billed): an answer (`include_answer` on `/v1/search` and
`/v1/news`, the model part of `/v1/answer`) = +2 over the result page, +4
when it read pages (`include_content`, `/v1/answer` depth=standard);
`/v1/extract` `summary` = +4 and `output_schema` = +4 per page;
`/v1/research` = lite 30, standard 75, deep 200. Responses that used a
model carry `meta.llm`. **AI assistants** (`/v1/chatgpt`, `/v1/gemini`, `/v1/copilot`,
`/v1/ai_mode`, `/v1/brave_ai`): a `prompt` sent to the public assistant
as a logged-out user; the response is its answer
(`text`, `markdown`) with the `sources` it cited or listed,
`search_queries`, `products` and `places` where the assistant shows them,
and `mentions` for the brands and domains in `track`.'
servers:
- url: https://api.serpkite.com
- url: http://localhost:8080
security:
- bearer: []
tags:
- name: Extract
paths:
/v1/extract:
post:
summary: Up to 20 URLs (HTML or PDF) as Markdown, text or HTML, with query-ranked…
operationId: extract
description: 'Every URL is billed only when it comes back: 1 credit, 0.5 from cache. URLs that
fail are listed in `failed` and cost nothing. The response is `200` even when every
URL failed. Highlights are ranked with BM25 (lexical, no model).
**AI:** `summary: true` adds a 3–6 sentence summary of each page (+4 credits per
page); `output_schema` (a JSON Schema, at most 16 KB, optionally guided by
`prompt`) returns each page''s data as JSON in `output` (+4 credits per page).
Claude Haiku writes both; a schema whose fields are all booleans or enums is
answered by a decision model instead (always valid against the schema). A
summary or extraction that fails is reported in `summary_error` /
`output_error` and not charged. With either, `timeout` defaults to 75 seconds
and the last 25 are kept for the model.'
requestBody:
required: true
content:
application/json:
schema:
$ref: '#/components/schemas/ExtractRequest'
example:
urls:
- https://example.com/pricing
- https://example.com/docs/limits.pdf
query: enterprise price
highlights: 2
responses:
'200':
$ref: '#/components/responses/ExtractOK'
'400':
$ref: '#/components/responses/Error'
'401':
$ref: '#/components/responses/Error'
'402':
$ref: '#/components/responses/Error'
'403':
$ref: '#/components/responses/Error'
'429':
$ref: '#/components/responses/Error'
'503':
$ref: '#/components/responses/Unavailable'
tags:
- Extract
components:
headers:
RetryAfter:
description: Seconds to wait before retrying
schema:
type: integer
CreditsRemaining:
schema:
type: number
TokensEstimate:
schema:
type: integer
LatencyMs:
schema:
type: integer
CreditsUsed:
schema:
type: number
CostUSD:
schema:
type: number
Cache:
schema:
type: string
enum:
- HIT
- MISS
schemas:
Highlight:
type: object
description: A query-relevant passage of a page, verbatim
required:
- text
- score
properties:
text:
type: string
score:
type: number
description: Relevance to the query (BM25; higher is better
comparable within one response): null
heading:
type: string
description: The section heading path the passage sits under
PageLink:
type: object
required:
- url
properties:
url:
type: string
description: Absolute URL
text:
type: string
description: Anchor text
ExtractResult:
type: object
required:
- url
- cached
properties:
url:
type: string
description: Final URL after redirects
status_code:
type: integer
title:
type: string
published_at:
type: string
description: The page's published time as ISO 8601, when it has one
metadata:
$ref: '#/components/schemas/PageMetadata'
cached:
type: boolean
markdown:
type: string
description: format=markdown
text:
type: string
description: format=text
html:
type:
- string
- 'null'
description: format=html (null for a PDF); at most 2 MiB per page
links:
type: array
items:
$ref: '#/components/schemas/PageLink'
description: include_links=true only
images:
type: array
items:
type: string
description: include_images=true only
highlights:
type: array
items:
$ref: '#/components/schemas/Highlight'
description: highlights > 0 only
summary:
type:
- string
- 'null'
description: summary=true only (null when it failed)
summary_error:
type: string
output:
description: 'output_schema only: the JSON value matching the schema (null when it failed)'
output_error:
type: string
PageMetadata:
type: object
properties:
title:
type: string
description:
type: string
language:
type: string
canonical:
type: string
site_name:
type: string
image:
type: string
published_time:
type: string
author:
type: string
content_type:
type: string
description: The page's media type
examples:
- text/html
- application/pdf
pages:
type: integer
description: Page count of a PDF
ExtractResponse:
type: object
required:
- request
- results
- failed
- meta
properties:
request:
type: object
additionalProperties: true
properties:
endpoint:
type: string
const: extract
urls:
type: array
items:
type: string
format:
type: string
query:
type: string
results:
type: array
items:
$ref: '#/components/schemas/ExtractResult'
failed:
type: array
items:
$ref: '#/components/schemas/ExtractFailure'
meta:
type: object
required:
- request_id
- credits_used
- succeeded
- failed
properties:
request_id:
type: string
credits_used:
type: number
latency_ms:
type: integer
succeeded:
type: integer
failed:
type: integer
llm:
$ref: '#/components/schemas/LLMUsage'
ExtractRequest:
type: object
required:
- urls
properties:
urls:
type: array
items:
type: string
format: uri
minItems: 1
maxItems: 20
description: HTML pages or PDFs (duplicates are dropped)
format:
type: string
enum:
- markdown
- text
- html
default: markdown
query:
type: string
maxLength: 4096
description: What highlights are ranked against
highlights:
type: integer
minimum: 0
maximum: 10
default: 0
description: Query-ranked passages per page (BM25; needs query)
max_tokens:
type: integer
minimum: 100
maximum: 100000
description: Trim each page's markdown or text to about this many tokens
include_links:
type: boolean
default: false
include_images:
type: boolean
default: false
max_age:
type: integer
minimum: 0
maximum: 2592000
description: Accept a cached page up to this many seconds old (0.5 credit)
country:
type: string
description: Fetch the pages as seen from this country (ISO 3166-1 alpha-2)
timeout:
type: integer
minimum: 1
maximum: 90
default: 50
description: Seconds to wait for the pages; a page still loading is listed in `failed` (`upstream_timeout`, not charged). Default 75 with summary or output_schema
summary:
type: boolean
default: false
description: Add a 3-6 sentence AI summary of each page (+4 credits per page; focused on `query` when set)
output_schema:
type: object
additionalProperties: true
description: 'A JSON Schema (at most 16 KB): each page''s data is returned as JSON matching it in `output` (+4 credits per page)'
prompt:
type: string
maxLength: 4096
description: Guides output_schema extraction (what to pick, how to normalise); needs output_schema
ExtractFailure:
type: object
required:
- url
- error
properties:
url:
type: string
error:
type: object
required:
- code
- message
properties:
code:
type: string
examples:
- invalid_request
- upstream_error
- upstream_timeout
- empty_page
message:
type: string
LLMUsage:
type: object
description: The model that wrote this response's AI part and the tokens it used
properties:
provider:
type: string
examples:
- anthropic
- openai
model:
type: string
examples:
- claude-haiku-5-5
- gpt-6-luna
input_tokens:
type: integer
output_tokens:
type: integer
Error:
type: object
required:
- error
properties:
error:
type: object
required:
- code
- message
properties:
code:
type: string
description: '403: spend_cap_reached, key_limit_reached, account_restricted, forbidden. 409/422: idempotency_key_reused. 422: target_unavailable (the URL you asked for failed: its site answered 404, its domain doesn''t resolve; resending won''t help), no_pages. 429: rate_limited, daily_limit_reached. 503: upstream_error, upstream_blocked, upstream_timeout, unavailable (the API never sends 502 or 504)'
examples:
- unauthorized
- invalid_request
- insufficient_credits
- rate_limited
- daily_limit_reached
- spend_cap_reached
- key_limit_reached
- account_restricted
- idempotency_key_reused
- forbidden
- not_found
- upstream_error
- upstream_blocked
- upstream_timeout
- unavailable
- internal
message:
type: string
request_id:
type: string
responses:
Unavailable:
description: 'Temporarily unavailable, not billed, safe to retry after `Retry-After`.
Codes: `upstream_error` (the upstream page couldn''t be fetched or parsed),
`upstream_blocked` (the upstream is rate limiting us or refused the query), `upstream_timeout`
(the search took too long), `unavailable` (endpoint or dependency down).
The API never sends 502 or 504.
'
headers:
Retry-After:
$ref: '#/components/headers/RetryAfter'
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
ExtractOK:
description: OK
headers:
X-Credits-Used:
$ref: '#/components/headers/CreditsUsed'
X-Credits-Remaining:
$ref: '#/components/headers/CreditsRemaining'
X-Cost-USD:
$ref: '#/components/headers/CostUSD'
X-Cache:
$ref: '#/components/headers/Cache'
X-Latency-Ms:
$ref: '#/components/headers/LatencyMs'
X-Tokens-Estimate:
$ref: '#/components/headers/TokensEstimate'
content:
application/json:
schema:
$ref: '#/components/schemas/ExtractResponse'
example:
request:
endpoint: extract
urls:
- https://example.com/pricing
- https://example.com/missing
format: markdown
query: enterprise price
results:
- url: https://example.com/pricing
status_code: 200
title: Pricing
metadata:
title: Pricing
content_type: text/html
cached: false
markdown: '# Pricing
…'
highlights:
- text: 'Enterprise: $499 per month …'
score: 4.83
heading: Plans
failed:
- url: https://example.com/missing
error:
code: target_unavailable
message: 'could not fetch the page: the site answered 404; you were not charged'
meta:
request_id: req_01J9
credits_used: 1
latency_ms: 2210
succeeded: 1
failed: 1
Error:
description: Error
content:
application/json:
schema:
$ref: '#/components/schemas/Error'
securitySchemes:
bearer:
type: http
scheme: bearer
oauth:
type: oauth2
description: OAuth 2.1 for the remote MCP server only (authorization code + PKCE S256; app-api.serpkite.com is the authorization server).
flows:
authorizationCode:
authorizationUrl: https://app-api.serpkite.com/oauth/authorize
tokenUrl: https://app-api.serpkite.com/oauth/token
refreshUrl: https://app-api.serpkite.com/oauth/token
scopes:
mcp: Use the SerpKite MCP tools, billed to your account
offline_access: Stay connected with refresh tokens