Decagon AI vs ScorAxis

Decagon AI and ScorAxis are both business tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Decagon AI

Decagon deploys AI agents that handle customer support end-to-end: identity verification, order lookups, refunds, subscription changes, and routing to the right team — without a human touching most of it. Workflows are defined in natural language through Agent Operating Procedures, so CX operations teams can update agent behavior without filing an engineering ticket. The platform unifies voice, chat, and email under one intelligence layer, which means the customer's context follows them across channels. Customer stories on the vendor site cite 80% deflection rates and 95% cost reductions — but those are headline outcomes from enterprise deployments with significant onboarding investment. Teams with in-house AI engineering appetite or sub-enterprise ticket volume will find the contract size hard to justify.

ScorAxis

The tool takes a text-based PDF, runs it through six frozen deterministic checks worth 70 points and five AI dimensions worth 30, and returns a 0–100 score in about 15 seconds. The deterministic rubric is public and version-locked, which means the same resume returns the same score within ±3 points — a meaningful guarantee when you're iterating across drafts. Free accounts get two scans per day and five total, which covers a targeted job search but hits a hard wall if you're actively testing five resume variants against the same posting. The Pro tier with unlimited scans, score history, and markdown export is on a waitlist at time of writing, so the ceiling on free use is real and the paid upgrade is not self-serve. Scanned PDFs are rejected outright — text-based exports only.

Attribute	Decagon AI	ScorAxis
Pricing	Paid	Paid
Price	—	₹599/mo or ₹4,999/yr
Free trial	No	No
Open source	No	No
Has API	Yes	No
Self-hosted option	No	No
Platforms	Cloud (SaaS)	Web
Released	2023	2026
Pros	Natural language Agent Operating Procedures let CX and operations teams update agent workflows without engineering involvement, so behavior changes ship in hours instead of sprint cycles. A single intelligence layer spans voice, chat, and email, which means customer context persists across channels and you avoid the broken handoff where an agent starts the conversation over on a different channel. Built-in A/B testing and QA simulation at scale let teams validate changes against live traffic before fully deploying, so a mis-configured workflow doesn't surface first in production at peak volume. The agent executes transactions — refunds, subscription changes, account recovery — not just lookups, so deflection rates reflect actual resolution rather than customers who gave up and called back. Usage-based pricing tied to conversations or resolutions aligns vendor incentives with actual outcomes, so you are not paying a flat fee for an agent that routes everything to a human.	Public, version-locked deterministic rubric, so you can verify exactly what the structural checks are measuring rather than treating the score as a black box — which means you're fixing real issues, not gaming an opaque algorithm. Score returned in roughly 15 seconds from PDF upload, so you get actionable feedback inside a single sitting rather than waiting for a batch job to complete. Plain-English issue explanations tied to specific score components, which means you get a prioritized fix list instead of a generic keyword dump that requires guessing what to change. Free tier requires no credit card and covers two scans per day, so you can validate whether the scoring approach fits your situation before committing to a paid plan. Explicit ±3 point variance disclosure on the AI dimensions, so when you re-score after edits you know whether a score change reflects your revisions or model noise — a distinction most tools in this category hide.
Cons	No self-serve trial and no free tier means you cannot validate fit before entering a procurement cycle — teams that need a proof of concept before budget approval are forced to negotiate access through a sales process, which typically adds weeks before any agent runs a single conversation. Self-hosting is not on offer, which is a hard stop for financial services or healthcare teams with data residency requirements that prohibit sending customer data to a third-party cloud — those teams move to a self-hostable competitor or build on an open-source agent framework instead. Contract structures in the six-figure annual range make Decagon economically indefensible for support operations below a certain ticket volume threshold — teams that are scaling toward enterprise but are not yet there exit for a mid-market tool with per-seat or lower-commitment pricing. Because the platform is fully managed and closed, teams with internal AI engineering capacity who want to own the model selection, retrieval architecture, or fine-tuning pipeline hit a wall — Decagon operates the agent for you, and if that is not what you want, the product is working against your team rather than with it.	The free account caps at five total scans across the account's lifetime, not per month — teams comparing multiple resume versions against a target role exhaust that limit in a single session and cannot self-serve upgrade because the Pro tier is on a waitlist. Scanned PDFs are rejected at upload with no fallback processing; job seekers who have only a scanned copy of an older resume must reformat it entirely before ScorAxis can score it. There is no API and no self-hosted option, so teams building job application tools or career platforms who want to embed ATS scoring into their own product have no integration path and will move to a competitor that offers programmatic access.

Bottom line

Only Decagon AI exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Decagon AI and ScorAxis?

Decagon AI is Paid, while ScorAxis is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Decagon AI better than ScorAxis?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.