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APIs / Developer Tools / Bugfender API
Bugfender API logo

Bugfender API

63
AI ReadinessAI-Aware (B)63/100
See full scorecard
Agent-ready OpenAPI document · curated by JenticDeveloper ToolsMonitoring Observabilitybearer9 EndpointsREST

Know of an official OpenAPI document? Contribute it →

For Agents

Pull mobile and web app logs, crash issues, and user feedback from Bugfender, and update issue status across your registered applications.

Use for: I need to fetch the latest crash logs for a specific device in my mobile app, List all applications registered with my Bugfender account, Retrieve user feedback submitted through my mobile app this week, Mark a Bugfender issue as resolved after deploying a fix

Not supported: Does not handle log ingestion from SDKs, billing, or team member management - use for reading mobile app logs, issues, and feedback only.

Jentic publishes the only available OpenAPI specification for Bugfender API, keeping it validated and agent-ready. Bugfender is a remote logging service for mobile and web applications that collects device logs, crash reports, and user feedback so engineering teams can debug issues from real user sessions. The API exposes read access to applications, devices, log streams, and issue records, plus the ability to mark issues as resolved or reopen them. Use it to pull device-level logs into your own observability stack, surface user feedback inside support tools, or programmatically triage crash issues across mobile fleets.

Jentic One on GithubView OpenAPI Document

Install Jentic One Beta

Connect the Bugfender API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Bugfender API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

1

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fbugfender.com%2Fbugfender" | sh
2

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fbugfender.com%2Fbugfender" | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Bugfender API.

List every application registered to the Bugfender account and read its metadata

Retrieve the device roster for an application and inspect individual device profiles

Pull raw log entries for a specific device to debug a real user session

Browse and filter the issue list for an application to triage crashes

Mark a Bugfender issue as resolved, in-progress, or reopened by updating its status

Read user feedback submissions tied to an application for support workflows

Use Cases

Patterns agents use Bugfender API for, with concrete tasks.

★ Crash Triage Automation

Automatically pull the open issue list for a mobile application, inspect issue details, and route them to the right engineer. Bugfender exposes per-application issue endpoints with status, occurrence counts, and links back to underlying device logs, making it straightforward to feed crashes into a triage bot. A nightly job can list issues, filter by severity, and update status to acknowledged once an engineer is assigned.

List all open issues for app_id 1234, fetch details for each, and update any older than 30 days to status resolved if no new occurrences.

Support Ticket Enrichment

When a user files a support ticket, fetch their Bugfender device logs and feedback records to attach real diagnostic context to the case. The API returns logs scoped to a specific device, so an agent can grab the last session for the affected user and append a summary to the helpdesk ticket. This eliminates back-and-forth requesting reproduction steps.

Given device_id D-789 reported in Zendesk ticket 4521, retrieve the latest device logs from Bugfender and post a summarised log excerpt as an internal note.

Release Health Dashboard

Build a release health view by polling applications and issue lists across your Bugfender account after each deploy. The API gives you device counts, issue counts, and feedback volume per application so you can compare crash rates between versions. Combine it with your CI metadata to flag regressions within the first hours of rollout.

For each application in the account, count open issues opened in the last 24 hours and post a summary to a Slack release channel.

AI Agent Debug Assistant via Jentic

A coding agent built on Jentic can reach for Bugfender when a developer asks why a mobile build is crashing. The agent searches Jentic for log retrieval, loads the device logs operation schema, and executes against the developer's vault-stored Bugfender token. It returns a summarised log trace without exposing the raw API key or requiring the developer to copy logs from the dashboard.

Search Jentic for retrieve device logs, load the GET /apps/{app_id}/devices/{device_id}/logs schema, and fetch logs for the device referenced in the developer's prompt.

Key Endpoints

9 endpoints — jentic publishes the only available openapi specification for bugfender api, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

GET

/apps

List applications registered to the account

GET

/apps/{app_id}/devices

List devices for an application

GET

/apps/{app_id}/devices/{device_id}/logs

Get logs for a specific device

GET

/apps/{app_id}/issues

List issues for an application

PUT

/apps/{app_id}/issues/{issue_id}

Update issue status

GET

/apps/{app_id}/feedback

List user feedback submissions

GET

/apps

List applications registered to the account

GET

/apps/{app_id}/devices

List devices for an application

GET

/apps/{app_id}/devices/{device_id}/logs

Get logs for a specific device

GET

/apps/{app_id}/issues

List issues for an application

PUT

/apps/{app_id}/issues/{issue_id}

Update issue status

GET

/apps/{app_id}/feedback

List user feedback submissions

Jentic AI Readiness Score

This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.

B

Bugfender API

- AI-Aware (B)
63/100
100
Foundational Compliance
63
Developer Experience & Jentic Compatibility
43
AI-Readiness & Agent Experience
94
Agent Usability
60
Security
63
AI Discoverability
Powered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
100

Foundational Compliance

Base layer of spec validity and structural soundness.

Grade: A+Signals: 4
98%

Lint Results

Aggregated quality score from linter diagnostics, weighted by severity.

100%

Resolution Completeness

Percentage of `$ref` references that resolve successfully.

100%

Specification Validity

Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).

100%

Structural Integrity

Structural correctness score based on schema issues using logarithmic dampening.

63

Developer Experience & Jentic Compatibility

Clarity, completeness, and ingestion readiness for developers and tooling.

Grade: B-Signals: 4
0%

Example Density

How richly the API is illustrated with examples.

100%

Example Validity

Percentage of examples that conform to their schemas.

50%

Response Coverage

Percentage of operations with complete response definitions (success, client error, server error).

100%

Tooling Readiness

Health of API ingestion, bundling, and resolution within Jentic pipelines.

43

AI-Readiness & Agent Experience

Semantic breadth, depth, and agent comprehension for AI systems.

Grade: DSignals: 4
23%

Description Coverage

Coverage of descriptions across API elements.

0%

Error Standardization

Coverage of RFC 9457 Problem Details for error responses.

100%

OperationId Quality

Coverage, uniqueness, and casing consistency of operationIds for AI inference.

50%

Summary Coverage

Coverage of summaries across operations/tags/info.

94

Agent Usability

Functional utility, complexity comfort, and AI orchestration readiness.

Grade: A+Signals: 1
94%

Complexity Comfort

Agent comfort level based on API operational and structural complexity.

60

Security

Trust, risk posture, and security compliance.

Grade: B-Signals: 1
60%

Authentication Strength

Average quality of security schemes based on authentication method strength (weakest link for OAuth2).

63

AI Discoverability

Findability, semantic richness, and reasoning readiness.

Grade: B-Signals: 1
62%

Descriptive Richness

Clarity and depth of descriptions across API elements.

View full reportHow the score is calculatedMore about the dimensions

Score it yourself

Every API in the directory is allowlisted, so you can re-score it with no key required.

Score your own APIScoring CLI agent skill
npx @jentic/api-scorecard-cli score <openapi-url>

Why Jentic?

What agents get from Jentic-routed access to this vendor.

Setup

Wiring Bugfender by hand means learning its bearer token auth against dashboard.bugfender.com/api and threading the app id through every device, log, and issue call yourself. Through Jentic you install once, import Bugfender from the API Directory, store the token once, and your agent calls it.

Permission scoping

Bugfender puts the app id in the URL path (/apps/{app_id}/...), so a rule can pin your agent to one app: it can read that app's devices, logs, issues, and feedback and nothing else. You choose the operations it may call, so it can read logs without being able to update an issue unless you add that.

Credential isolation

Your Bugfender bearer token is stored once, encrypted, by your own Jentic One instance and injected as the Authorization header at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'get crash logs' or 'list mobile issues', and Jentic returns the matching Bugfender operation with its input schema so the agent calls the right endpoint without browsing the reference docs.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Bugsnag API

→

Bugsnag focuses on stability monitoring and error grouping with deeper release tracking than Bugfender.

Choose Bugsnag when the priority is stability scoring and release-by-release error grouping rather than raw device log retrieval.

Complementary

BugHerd API

→

BugHerd captures user-reported visual bugs on web pages while Bugfender captures runtime logs on mobile clients.

Use BugHerd alongside Bugfender to combine pixel-level user reports with backend log evidence in a single triage workflow.

Complementary

Buildkite API

→

Buildkite handles CI/CD pipelines that ship the mobile builds Bugfender then monitors in the wild.

Use Buildkite to correlate a Bugfender issue spike with the specific build job and commit that introduced it.

FAQs

Specific to using Bugfender API through Jentic.

Why is there no official OpenAPI spec for Bugfender API?

Bugfender does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call Bugfender API via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.

What authentication does the Bugfender API use?

Bugfender uses HTTP bearer authentication. Each request must include an Authorization header with a token generated from your Bugfender dashboard settings. When called through Jentic, the token is stored in your Jentic One instance and never enters the agent's context - Jentic injects it at execution time.

Can I retrieve raw device logs through the Bugfender API?

Yes. The GET /apps/{app_id}/devices/{device_id}/logs endpoint returns log entries for a specific device under a given application. Use the application listing and device listing endpoints first to discover the IDs, then call the logs endpoint to pull the captured session output.

Can I mark a Bugfender issue as resolved through the API?

Yes. The PUT /apps/{app_id}/issues/{issue_id} endpoint accepts an updated status payload, so an agent can resolve, reopen, or change the state of an issue after a fix is deployed. Pair it with GET /apps/{app_id}/issues to discover open issues first.

What are the rate limits for the Bugfender API?

Bugfender does not document explicit rate limits in the OpenAPI spec. Their dashboard tier governs request throughput in practice, so production agents should add retry-with-backoff handling for HTTP 429 responses and avoid tight polling loops on the device logs endpoint.

How do I pull Bugfender logs from an AI agent through Jentic?

Run pip install jentic and authenticate with your ak_* key. Use a search query like fetch device logs from bugfender, then load the GET /apps/{app_id}/devices/{device_id}/logs operation and execute it with the relevant app_id and device_id. Jentic handles the bearer token injection and returns the structured response.

Can I limit what my agent is allowed to do with the Bugfender API?

Yes. Because you run Jentic One yourself, your own rules decide which Bugfender operations and which stored token your agent may use. Since Bugfender carries the app id in the URL path (/apps/{app_id}/...), you can pin the agent to a single application so it only reads that app's devices, logs, issues, and feedback and nothing else. You also choose the operations it can call, so it can read logs with GET /apps/{app_id}/devices/{device_id}/logs without being able to change an issue via PUT /apps/{app_id}/issues/{issue_id} unless you grant that.

GET STARTED

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View OpenAPI Document