Measure API adoption. Find roadblocks. Nudge to success.
Map millions of API calls to user-level journeys, surface the few that are stuck, and intervene before they churn.
The problem
You can’t improve what you can’t see.
You can’t tell where customers are in their adoption journey.
Logs are noisy; dashboards are generic.
Millions of events, zero clarity.
Turning raw calls into helpful, user-level insight is hard and time-consuming.
Custom dashboards drain engineering time.
Teams stall while you spec yet another SQL chart.
The fix
Generate live customer profiles · Find roadblocks · Nudge to success
Generate live customer profiles
Built from actual API usage and refreshed in real time. Each profile shows version & SDK, endpoints touched, milestone state, last validation error, stall timer, and a suggested next best action.
Find roadblocks
We surface who is stuck, where, why (version mismatch, SDK friction, validation errors), and for how long.
Nudge to success
Trigger customer notifications at the exact stall point, and measure time-to-value improvements.
Built for Product, DX, and Customer Success
Clarity for every team
Product / DX
- Reduce time-to-first-success (TTFS).
- See coverage by API version and SDK.
CS / AM
- Identify at-risk accounts with user-level clarity.
- Suggest the next best action.
Engineering
- No more overwhelm from too many logs.
- No bespoke dashboards. Instrument once; reuse everywhere.
What you get
Operational visibility tied to developer progress
API Versions (coverage & drift)
See who’s on v1 vs v2, where migrations stall, and whether version-specific errors block activation.
SDK Usage (language & version)
Break down adoption by official SDKs (Node/Go/Python/Ruby). Spot outdated clients and mismatched capabilities.
Granular Validation Errors (4xx lens)
Group schema errors (e.g., missing_field:id, enum_invalid:plan) and quantify how they delay milestone completion.
Live Customer Profiles
A one-page, real-time view per user/account: endpoints used, recent errors, user-agents/SDK, API version, milestone state, stall timer, and the next best action.
Targeted Nudges (lightweight)
Trigger an in-product checklist or notification when a user stalls at a step for N hours/days.
How it works
Integrate once · Define milestones · Detect stalls & trigger nudges
Integrate once
Drop-in collectors: SDKs for Node/Go/Python/Ruby + gateway taps (Cloudflare/Kong/NGINX). We attach user/account context.
Define adoption milestones
Compose milestones as recipes over ordered API events. Compute in real time and retroactively over historical logs.
Detect stalls & trigger nudges
Deliver a nudge only where and when it matters. Track TTFS, stall time, and completion rates - per user and per account.
Outcomes you can count
Ship adoption, not just dashboards
Faster TTFS
See the first 30 minutes like a story, not a splat of logs.
Lower churn risk
Catch stalls before they ghost.
Free up engineering
Stop building ad-hoc dashboards; model once, reuse forever.
Why a new category?
API Adoption Accelerator. Infra tools show system health; product analytics show clicks. APImason shows developer progress - the missing middle between “200 OK” and “activated customer.”
FAQ
Answers to common questions
How is this different from Datadog/Sentry?
Datadog optimizes infrastructure & service health; Sentry pinpoints application errors and runtime exceptions. APImason models user adoption from API calls: milestones, stalls, TTFS, and next-best actions at the user/account level.
How is this different from Amplitude/PostHog?
Product analytics track UI events. APImason understands API semantics (versions, SDKs, validation errors) and computes ordered, cross-endpoint milestones.
What’s the setup effort?
Add an SDK or enable a gateway tap, and you’ll see journeys and stalls the same day.
Will this replace our dashboards?
No - keep your infra and error tools. APImason answers a different question: who is stuck, where, and what unblocks them.
See your next 100 customers activate.
Start mapping adoption right now.