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Akkio vs Yorph AI

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors. Yorph AI publishes a starting price ($29.99); Akkio does not. Only Akkio ships a public API.

AkkioCampaign analytics agents built for media agenciesYorph AIAgentic data platform that builds multi-step analysis pipelines from a plain-language question and shows its work.

Side by side

FactAkkioYorph AI
CategoryData Analysis AssistantsData Analysis Assistants
Pricing modelContactPaid
Starts at—$29.99 seat_month
Public APIYesNo
PlatformsWeb, APIWeb
CompanyAkkio Inc.Yorph AI
Launched20192025
Last verifiedSep 6, 2026Sep 1, 2026

What our research says

Akkio

Once a self-serve no-code prediction tool, now an agency analytics platform sold only through a sales call — if you came expecting to upload a CSV and train a model on a card, that door has closed.

Pros

  • REST API and Python SDK are still documented for training and prediction
  • Domain agents map onto real agency workflows instead of generic dashboards
  • Referenced in production — it powers the Plus.AI media planning system at Mediaplus

Cons

  • No published pricing, no free tier and no self-serve signup
  • The general-purpose no-code framing carried by most catalogs no longer matches the site
  • Scope now assumes media-campaign data, so other use cases are off-message
  • Small company, with roughly $15M raised in total

Yorph AI

Yorph's pitch is transparency in exchange for depth: instead of a black-box answer, it shows the pipeline of steps and validation behind a complex analytical question. That's a meaningful difference from simple text-to-chart tools, but because the vendor's own site couldn't be reached directly during this research, pricing and feature claims here are secondhand.

Pros

  • builds multi-step pipelines for complex questions instead of single-query answers
  • shows intermediate outputs and validation checks rather than a black-box result
  • no-code natural-language interface aimed at business, not just technical, users
  • based in the US with a specific founding year (2025) confirmed

Cons

  • the vendor's own site could not be reached directly across repeated attempts during this research
  • per-user monthly pricing was sourced from a third-party listing, not the vendor directly
  • no information found on data source integrations or security posture

Which one fits

Choose Akkio if you need

  • Media agencies wanting audience, strategy and reporting agents over campaign data
  • Teams needing propensity and media-mix modelling without a data-science hire
  • Agencies white-labelling analytics for their own clients

Choose Yorph AI if you need

  • business users who need multi-step analysis, not just a single chart
  • teams wanting visible, auditable reasoning behind an AI-generated answer
  • organizations willing to pay per user for deeper analytical questions

More comparisons

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