Observe
Observe (Observe, Inc., now "Observe by Snowflake" following its acquisition by Snowflake; www.observeinc.com redirects to snowflake.com/en/product/observe) is an observability platform for logs, metrics, traces and APM built on a data lake and the OPAL query language. Its developer surface lives on docs.observeinc.com: a tenant-scoped REST API (https://{customerid}.observeinc.com/v1, bearer "
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Observe the way a machine reads it — 35 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Observe scores 61.6/100 (strong), with a separate agent-readiness read of 43/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.
Kin Score
How this is scored →scored 2026-10-17 · rubric v0.24.0
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title="Observe on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/observeinc/card.svg"
alt="Observe Kin Score — API readiness rating by API Evangelist" width="340" height="120" loading="lazy">
</a>More shapes, themes and sizes → · Score as JSON · How badges work
How we profile Observe
Each block below is one kind of artifact we hold for Observe. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 22
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Observe Apache Iceberg REST Catalog API
Read-only subset of the Apache Iceberg REST Catalog protocol served under /v1/iceberg/catalog on each Observe tenant, authenticated with the same Observe API token. Implements t...
Observe Alert API
Query monitor alerts. Learn more about [alerts](https://docs.observeinc.com/docs/work-with-alerts).
Observe APM API
The APM API from Observe — 3 operation(s) for apm.
Observe Dashboards API
The Dashboards API from Observe — 2 operation(s) for dashboards.
Observe Dataset API
Manage datasets. Learn more about [datasets](https://docs.observeinc.com/en/latest/content/reference/ObserveKeyConcepts.html#datasets)..
Observe Dataset Legacy API
Legacy dataset endpoints. Will be deprecated in the future.
Observe Dataset Query Filter API
Manage dataset query filters. Learn more about [dataset query filters](https://docs.observeinc.com/docs/dataset-query-filters).
Observe Documentation API
Semantic search across Observe's built-in documentation.
Observe Drop Filters API
Manage drop filters used to reduce ingest volume by dropping a configurable fraction of observations matching an OPAL predicate. Learn more about [drop filters](https://docs.obs...
Observe Export API
Export query results from Observe.
Observe Ingest Routes API
The Ingest Routes API from Observe — 2 operation(s) for ingest routes.
Observe Ingest Tokens API
The Ingest Tokens API from Observe — 2 operation(s) for ingest tokens.
Observe Login API
Manage api tokens. Learn more about [api tokens](https://docs.observeinc.com/en/latest/content/reference/ObserveAPIAuth.html).
Observe Metrics API
The Metrics API from Observe — 1 operation(s) for metrics.
Observe Monitor API
Manage monitors. Learn more about [monitors](https://docs.observeinc.com/en/latest/content/monitors/MonitorsIntro.html).
Observe Monitor Mute API
Manage monitor mute rules. Mute rules suppress alert notifications for one or more monitors during a defined time window. Learn more about [monitor mute rules](https://docs.obse...
Observe Object Tags API
Search for object tags on objects such as dashboards, datasets, worksheets, etc.
Observe Reference Tables API
Manage reference tables. Learn more about [reference tables](https://docs.observeinc.com/en/latest/content/reference/ReferenceTables.html).
Observe Skills API
Manage custom AI agent skills for the AI-SRE agent.
Observe Tags API
The Tags API from Observe — 1 operation(s) for tags.
Observe Service Accounts API
Manage service accounts and api tokens. Learn more about service accounts.
Observe Tag Values API
The Tag Values API from Observe — 1 operation(s) for tag values.
Scroll within the panel for all 22 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
Observe by Snowflake MCP Server
Tenant-hosted MCP server that lets AI agents investigate incidents, explore logs, metrics and traces, search Datasets, list alerts and monitors, generate OPAL queries and inspec...
MCP SERVERRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Observeinc Rate Limits
RATE LIMITSSemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Observeinc Context
JSON-LDSpectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Observe API Rules
SPECTRALJSON Schema 6
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
AlertResource
JSON SCHEMADatasetQueryFilter
JSON SCHEMADatasetResource
JSON SCHEMAIngestFiltersObject
JSON SCHEMAIngestRoutesObject
JSON SCHEMAMonitorResource
JSON SCHEMASecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Observe — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 7
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 7 ·
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 5
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 2
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/observeinc · machine-readable index on apis.io
This is an independent, third-party profile of Observe, 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.
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