How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

Need help?

Contact us
Pypestream

Pypestream Annotations API

The Annotations API from Pypestream — 2 operation(s) for annotations.

Documentation Provider Profile APIs.io OpenAPI GitHub

Pypestream Annotations API is one of 27 APIs that Pypestream publishes on the APIs.io network, described by a machine-readable OpenAPI specification and an AsyncAPI event-driven specification.

Tagged areas include Annotations. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and an AsyncAPI specification.

This API exposes 2 operations across 2 paths, and defines 3 schemas. It is described by OpenAPI 3.2.0, at version 1.0.0.

Requests are made against a single base URL, https://analytics.pypestream.com/.

2 operations 2 paths 3 schemas 2 GET

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
1.0.0
Base URL
https://reporting.pypestream.com/api/v2/
Authentication
HTTP Bearer
Resource Areas
1

Authentication & Security 1

Pypestream Annotations API declares 1 security scheme for authenticating requests. It accepts HTTP bearer tokens (APIKey). By default, every request must be authenticated.

Paths & Operations 2

Across 2 paths, the API surfaces 2 operations — 2 GET. Each is listed below with its method, path, parameters, and response codes.

Annotations 2
GET
/api/datasets/{dataset_id}/annotations/
Annotations: Dated notes or comments attached to timelines or Insight charts to provide shared context about specific events (e.g., feature releases, marketing campaigns) that might influence metrics…
annotations_list 4 params → 200
GET
/api/datasets/{dataset_id}/annotations/{id}/
Annotations: Dated notes or comments attached to timelines or Insight charts to provide shared context about specific events (e.g., feature releases, marketing campaigns) that might influence metrics…
annotations_retrieve 2 params → 200

Schemas 3

The contract defines 3 schemas that model the data the API accepts and returns. The most detailed are Annotation (12 properties), UserBasic (6 properties), PaginatedAnnotationList (4 properties). Each schema is shown below with its type and property counts.

UserBasic
object
6 properties 3 required
Annotation
object
12 properties 6 required
PaginatedAnnotationList
object
4 properties

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

pypestream-annotations-api-openapi.yml Raw ↑

Other APIs Pypestream publishes across the network.

Pypestream Actions API
AE Profile APIs.io
Pypestream Advanced API
AE Profile APIs.io
Pypestream Agent API
AE Profile APIs.io
Pypestream Batch Exports API
AE Profile APIs.io
Pypestream Cohorts API
AE Profile APIs.io
Pypestream Configuration API
AE Profile APIs.io
Pypestream Conversations API
AE Profile APIs.io
Pypestream Dashboards API
AE Profile APIs.io
Pypestream Datasets API
AE Profile APIs.io
Pypestream Display Control API
AE Profile APIs.io
Pypestream Endpoints API
AE Profile APIs.io
Pypestream Event Definitions API
AE Profile APIs.io
#Annotations
← Back to P APIs
API Details
ID
pypestream:pypestream-annotations-api
Base URL
https://reporting.pypestream.com/api/v2/
Docs
https://developers.pypestream.com/reference/reporting-api-overview
Provider
Pypestream
APIs.io →  GitHub →
Explore more
All APIs Providers APIs.io Network
Work with this as data

Every API here is available over the API and to AI agents over MCP. APIs is not yet its own endpoint on the v1 API. Reach this content through network search and the tag graph, or the MCP server below.

Installs https://mcp.apievangelist.com/mcp in Claude, Cursor, VS Code and the rest — one button, every client.

MCP tools for apis
4 tools reach this content
  • search_api_evangelistSearch every content type across the network at once.
  • find_relatedThe shared-tag relevance graph — what else covers this.
  • get_tagEverything one tag labels, across all content types.
  • guide_topicPRO — a curated bundle for a topic: area, guidance, rules, papers, stories, services.
All tools & prompts
Call it yourself
curl for this page
Search the network for this 
curl "https://api.apievangelist.com/v1/search?q=pypestream-annotations-api&limit=10"
Everything under a tag 
curl "https://api.apievangelist.com/v1/tags/pypestream-annotations-api"

Discovery needs no key. Full bodies and the synthesis endpoints are Pro.

Get an API key

Free tier, no email required. Sign in with whichever identity you already have.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have. Your account

Where this information came from

This is an independent, third-party profile of Pypestream Annotations API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.