How is Altor different from a docs chatbot?

Docs chatbots answer 'how does this work?' from your knowledge base. Altor answers 'why is this broken for this customer right now?' by querying their actual API logs, checking your bug tracker, and verifying their billing status — across 6+ systems in under 2 minutes.

How is Altor different from our support platform?

Pylon, Plain, Zendesk — they route and manage tickets. Altor investigates them. We plug into your existing support tool as the investigation layer. You keep your workflows, we add the diagnosis.

Will Altor take actions without asking?

Not by default. Altor starts as a read-only investigator — it surfaces a diagnosis for your team to review. You control which action types graduate to auto-approval. Destructive actions are never automated.

What if our stack isn't listed?

If an API exists for your system, we can integrate it. The architecture composes tools — it doesn't hardcode connectors. We've yet to encounter a B2B stack we can't connect to.

What does Altor pricing look like?

Usage-based — you pay per investigation, not per seat. No minimum commitment. We'll scope pricing during the demo based on your ticket volume and systems.

Your developers expect root causes, not "we're looking into it."

When your API customers report latency spikes, webhook failures, or SDK errors, they expect a real diagnosis — not a link to your docs. Altor queries their actual API logs, checks your bug tracker, and verifies their billing to deliver root causes in 2 minutes.

What makes API-first support different

Your customers are developers. They've already read your docs, checked your status page, and tried debugging themselves before they open a ticket. When they reach out, they need the information they can't access: your internal logs, your bug tracker, your deployment history.

Typical tickets at API-first developer tools:

•"Email deliverability dropped from 98% to 72% this week" — reputation issue, DNS config change, or provider problem?
•"Database connections timeout intermittently under load" — connection pool exhaustion, query performance, or infrastructure scaling?
•"SDK v3.2.1 throws a type error on the batch endpoint" — known bug in this version, or an API contract change?
•"Our auth tokens expire after 15 minutes instead of the configured 60" — config not propagated, or a regression in the last deploy?
•"Webhook payloads are missing the metadata field we added yesterday" — API version mismatch or webhook serialization bug?

What Altor investigates for API-first teams

API-first dev tools have rich, structured data that Altor can query precisely:

•ClickHouse / Postgres — request logs, latency per endpoint, error rates by SDK version, delivery metrics
•Linear / Jira — SDK bugs, API contract changes, endpoint deprecation tracking
•Stripe — per-endpoint billing, usage tier enforcement, metered billing reconciliation
•GitHub — SDK releases, breaking change PRs, migration guides for affected versions
•StatusPage — infrastructure status, planned maintenance, third-party provider health
•Docs / Mintlify — SDK migration guides, breaking change notices, version compatibility matrices

20–45 min

typical investigation time for a developer support ticket

2 min

Altor's median diagnosis time

$80–200K

annual cost per support engineer in manual investigation time

changes to your existing support workflow

"Developer customers don't want empathy — they want data. Altor gives our support team the data before the customer even finishes writing the ticket."
— Engineering lead, Portkey

Why API-first companies choose Altor

Three traits make investigation automation critical for API-first companies: developer customers who expect technical depth and will churn without it, high ticket volume driven by integration complexity across many SDK versions and use cases, and well-structured API log data that Altor can query precisely.

Your support team is already technical. They know how to investigate. The problem is time — 20–45 minutes per ticket, checking the same systems in the same order. Altor runs that same workflow in 2 minutes, so your engineers focus on the tickets that actually need human judgment.

Altor for AI infrastructure companies Webhook failure investigation Read the Portkey case study

See Altor investigate a real ticket from your queue

We'll connect to your API logs, bug tracker, and billing system. Your data, your ticket, diagnosed in 2 minutes.

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