BigPanda
BigPanda is an agentic IT operations (AIOps) platform that ingests alerts from monitoring and observability tools, correlates them into a small number of actionable incidents, links those incidents to the deployment and configuration changes that caused them, and increasingly acts on them through AI agents. Its public API is large and current: 263 operations across 165 paths, published as OpenAPI 3.0.1 on BigPanda's own API reference, covering alert ingestion and enrichment, correlation patterns, incidents, environments, changes and root cause, maintenance plans, topology, outbound webhooks, SCIM 2.0 user provisioning, SSO, roles and API keys, plus a Biggy assistant surface with a remote Model Context Protocol server and an A2A agent endpoint.
Reference-quality API operations across every facet — a rich contract, published governance, transparent operations, and machine-readable commercial terms.
API Evangelist profiles BigPanda the way a machine reads it — 109 machine-readable artifacts across 27 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 — BigPanda scores 70.3/100 (exemplar), with a separate agent-readiness read of 41/100 (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.
Put this on your own site. The badge is drawn live from BigPanda's current Kin Score — paste it once and it updates itself every time the score is recomputed. It follows your visitor's light or dark setting, and it links back here so anyone who sees it can read the full breakdown.
<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/bigpanda/"
title="BigPanda on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/bigpanda.svg"
alt="BigPanda Kin Score — API readiness rating by API Evangelist" width="150" height="150" loading="lazy">
</a>
[](https://providers.apievangelist.com/providers/bigpanda/)
<!-- Kin Score · API Evangelist -->
<a href="https://providers.apievangelist.com/providers/bigpanda/"
title="BigPanda on API Evangelist — API profile and Kin Score">
<img src="https://apis.io/badge/bigpanda/card.svg"
alt="BigPanda 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 BigPanda
Each block below is one kind of artifact we hold for BigPanda. 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 27
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.
BigPanda Agents API (MCP & A2A)
The three agent-facing endpoints: the MCP server, the A2A JSON-RPC endpoint and the agent-card retrieval operation.
BigPanda AI Settings API
AI analysis configurations and on-demand AI analysis generation.
BigPanda Alert Tags & Enrichment API
Alert tags, enrichment items, mapping enrichment schemas and tables — the largest single resource group, and the one that decides what context an incident carries.
BigPanda Alert Filters API
Alert filters and filter schedules, in current and v1 routes, for suppressing alerts before correlation.
BigPanda Alert Ingestion (OIM) API
Open Integration Hub ingestion — send raw tool payloads for normalization and processing, with 23 documented tool reference payloads.
BigPanda Alerts API
Inbound alert ingestion and batch alert resolution — the write path monitoring tools use to push events into BigPanda.
BigPanda API Keys API
Create, read, update and revoke the User API Keys that authenticate every other call.
BigPanda Audit API
Search the organization audit log.
BigPanda Biggy Query API
Send a natural-language question to Biggy and retrieve the response, synchronously or as an async job.
BigPanda Change Risk API
Request and retrieve AI-powered risk ratings for ServiceNow change requests.
BigPanda Changes & Root Cause API
Ingest deployment and configuration changes and link them to incidents as Root Cause Changes.
BigPanda Correlation Patterns API
The rules that turn alerts into incidents, including their evaluation order.
BigPanda Data Connectors API
Data connectors and their authentication.
BigPanda Email Parser Configuration API
Versioned email-parser integration configuration, mirroring the OIM configuration lifecycle.
BigPanda Environments API
BPQL-defined environments and environment groups that scope every incident operation.
BigPanda Incidents API
Search, read, assign, comment, tag, snooze, merge, split and resolve correlated incidents.
BigPanda Maintenance Plans API
Schedule maintenance windows to suppress alerts during planned work, and stop a running window early.
BigPanda Meetings & Transcripts API
Add the Biggy transcription bot to a call, then list transcripts, read raw text and generate AI summaries.
BigPanda Major Incident Management API
Execute a major-incident workflow from a template, then list, inspect, cancel or resolve the execution.
BigPanda Notifications & Webhooks API
Configure Notifications Webhook v2 destinations and discover the dynamic variables a webhook template can interpolate.
BigPanda OIM Configuration API
Versioned Open Integration Hub configuration with list, retrieve, diff and restore — the only versioned object in the BigPanda surface.
BigPanda Reporting API
Troubleshooting logs and multi-context report generation.
BigPanda Roles & Permissions API
Roles, role membership and the permission catalog that decides what a User API Key can do.
BigPanda Service Accounts API
Machine identities and the API keys attached to them.
BigPanda SSO & JIT Provisioning API
SAML SSO configuration, a SAML debug endpoint, and just-in-time domain and role provisioning.
BigPanda Topology API
Service and infrastructure topology used to relate alerts across systems.
BigPanda Users & SCIM API
User management plus a standards-based SCIM 2.0 provisioning surface for Users and Groups.
Scroll within the panel for all 27 ·
Postman Collections 6
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
Open Collections 8
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
API Collection
OPEN COLLECTIONBigPanda Alerts API
OPEN COLLECTIONBigPanda Alerts Audit API
OPEN COLLECTIONBigPanda Alerts Changes API
OPEN COLLECTIONBigPanda Alerts Environments API
OPEN COLLECTIONBigPanda Alerts Incidents API
OPEN COLLECTIONBigPanda Alerts Maintenance Plans API
OPEN COLLECTIONBigPanda API
OPEN COLLECTIONScroll within the panel for all 8 ·
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.
BigPanda MCP Server
BigPanda ships two distinct remote Model Context Protocol surfaces. The product one is the Biggy action-plan server at https://api.biggy.io/mcp, documented in BigPanda's own API...
MCP SERVERPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.
Published pricing tiers and plan structures.
Rate 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.
Bigpanda Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Bigpanda Finops
FINOPSFeatures 8
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
AI Alert Correlation
ML-powered correlation of alerts from 200+ monitoring tools into actionable incidents.
Incident Management
Triage, acknowledge, and resolve correlated incidents with full audit trail.
Root Cause Analysis
Automatically identify root causes by correlating alerts with change events.
Maintenance Plans
Schedule maintenance windows to suppress expected alerts during planned work.
Change Correlation
Ingest deployment and config changes to correlate with alert spikes.
Environments
Define DSL-based environments to group incidents by source, severity, or host.
Enrichments
Enrich alerts with contextual tags from CMDB and other data sources.
AIOps Automation
Automate incident response workflows with AI-driven insights and routing.
Scroll within the panel for all 8 ·
Event Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Bigpanda Webhooks
ASYNCAPISemantic 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.
Bigpanda Context
JSON-LDSpectral Rules 2
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.
BigPanda API Rules
SPECTRALBigPanda API Rules
SPECTRALJSON Schema 14
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.
AlertRequest
JSON SCHEMAAlertResponse
JSON SCHEMAAuditLogEntry
JSON SCHEMAAuditLogsResponse
JSON SCHEMAChangeRequest
JSON SCHEMAChangeResponse
JSON SCHEMAEnvironmentRequest
JSON SCHEMAEnvironment
JSON SCHEMAEnvironmentsResponse
JSON SCHEMAIncident
JSON SCHEMAIncidentsResponse
JSON SCHEMAMaintenancePlanRequest
JSON SCHEMAMaintenancePlan
JSON SCHEMAMaintenancePlansResponse
JSON SCHEMAScroll within the panel for all 14 ·
JSON Structure 14
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Bigpanda Alert Request Structure
JSON STRUCTUREBigpanda Alert Response Structure
JSON STRUCTUREBigpanda Audit Log Entry Structure
JSON STRUCTUREBigpanda Audit Logs Response Structure
JSON STRUCTUREBigpanda Change Request Structure
JSON STRUCTUREBigpanda Change Response Structure
JSON STRUCTUREBigpanda Environment Request Structure
JSON STRUCTUREBigpanda Environment Structure
JSON STRUCTUREBigpanda Environments Response Structure
JSON STRUCTUREBigpanda Incident Structure
JSON STRUCTUREBigpanda Incidents Response Structure
JSON STRUCTUREBigpanda Maintenance Plan Request Structure
JSON STRUCTUREBigpanda Maintenance Plan Structure
JSON STRUCTUREBigpanda Maintenance Plans Response Structure
JSON STRUCTUREScroll within the panel for all 14 ·
Examples 14
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Bigpanda Environment Example
EXAMPLEBigpanda Incident Example
EXAMPLEScroll within the panel for all 14 ·
Security Posture 3
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.
Scopes 1
OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.
OAuth scopes governing access to this provider's APIs.
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.
Use Cases 5
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
Alert Noise Reduction
Reduce alert fatigue by correlating thousands of alerts into a handful of incidents.
Change Impact Analysis
Automatically link deployment changes to alert spikes for faster root cause identification.
On-Call Automation
Route correlated incidents to the right on-call team with full context.
Maintenance Scheduling
Suppress alerts during planned maintenance to prevent false incident creation.
ITSM Integration
Automatically create and update tickets in ServiceNow or Jira from correlated incidents.
Resources
Every other property we hold for BigPanda — 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 5
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 6
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 8
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 8 ·
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 6
Status, limits, changes, and where to get help
Commercial 5
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/bigpanda · machine-readable index on apis.io
This is an independent, third-party profile of BigPanda, 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.