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APIs · head to head

Akoya vs Thredd

Akoya logo

Akoya

APIs

Bank-owned, token-based open finance network that replaces screen scraping for US financial data

From
On request
Rated
-
Thredd logo

Thredd

APIs

Issuer processing platform for fintechs and digital banks, formerly Global Processing Services

From
On request
Rated
-

The short version

  • Each has a real cost: Akoya coverage reaches several thousand institutions but does not match aggregators that can still scrape, so applications needing the long tail of small credit unions will run a second data provider alongside it.; Thredd pricing is entirely unpublished, so cost comparison against competing processors requires a sales process.
  • They diverge on capability: Akoya covers FDX standard APIs, Thredd covers Issuer processing.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Akoya and Thredd actually diverge.

Attributes where Akoya and Thredd differ
AttributeAkoyaThredd
PlatformsWebWeb, API

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (APIs).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Akoya

  • FDX standard APIs
  • Token-based access
  • Investment data
  • Accounts, balances and transactions
  • Statements and tax forms
  • Customer identity
  • Consumer permission management
  • Single integration

Only in Thredd

  • Issuer processing
  • Multi-country reach
  • Scheme certification
  • Programme support across verticals
  • High platform availability
  • Global office footprint

What people use each for

The jobs each tool is most often brought in to do.

Akoya

  • A wealth management platform that needs Fidelity brokerage holdings and tax lots, which cannot be scraped since Fidelity closed that route in October 2023not Thredd
  • A tax preparation product retrieving tax forms and cost basis directly from the institution rather than asking users to upload PDFsnot Thredd
  • A lender that needs a permissioning trail defensible under CFPB section 1033 rather than a credential-sharing arrangementnot Thredd
  • A bank that wants to meet data sharing obligations through one network connection instead of building and policing its own developer interfacenot Thredd

Thredd

  • A digital bank or fintech needing issuer processing across many countries under one contractnot Akoya
  • A BNPL, lending or crypto product needing certified card processing behind its own brandnot Akoya
  • A company that finds outdated Global Processing Services (GPS) material and needs to confirm it is now Threddnot Akoya
  • An embedded finance platform wanting a processor already integrated with core banking systems such as Mambunot Akoya

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Akoya

  • Coverage reaches several thousand institutions but does not match aggregators that can still scrape, so applications needing the long tail of small credit unions will run a second data provider alongside it.
  • The network is owned by large banks, so roadmap and coverage priorities reflect owner interests rather than those of the fintechs consuming the data, and a recipient has no leverage over which institutions are added next.
  • Data availability is decided institution by institution, meaning a bank may expose balances but not transactions or investments, and recipients must verify field-level coverage per institution rather than assume the FDX model is fully populated.
  • Pricing is unpublished and usage based, which makes it difficult to compare against aggregator pricing during a build-versus-buy decision and forces a sales cycle before you can model cost.
  • The token model requires the institution to have implemented its side, so newly onboarded institutions arrive on the institution timetable, not yours, and a launch dependent on a specific bank can slip badly.

Thredd

  • Pricing is entirely unpublished, so cost comparison against competing processors requires a sales process.
  • The 2023 rebrand from GPS to Thredd means research under either name alone can miss relevant material, and partner or press references before 2023 will still say GPS.
  • Issuer processing does not include the banking licence itself, so a fintech still needs a separate BIN sponsor or bank partner, adding a second relationship to manage.
  • As shared infrastructure behind many fintech brands, an outage or processing delay at Thredd becomes a simultaneous incident for every programme running on it, with limited visibility for any single customer into root cause.
  • Its verticals span crypto, BNPL and remittance broadly, so depth of specialist support in any one vertical may be thinner than a processor focused narrowly on that niche.

Pricing, plan by plan

Akoya

On request
  • Akoya Data Access$undefined/year
    • Usage-based pricing quoted by data product and call volume
    • Separate commercial terms for data recipients and for financial institutions joining the network
    • No published rate card

Thredd

On request
  • Thredd$undefined/year
    • Volume and programme-based pricing, not published
    • Custom quote required via sales

Which should you pick?

Choose Akoya if

  • You need fdx standard apis.
  • You also want token-based access.

Choose Thredd if

  • You need issuer processing.
  • You work on Web, API.
  • You also want multi-country reach.

Questions people ask

Is Akoya or Thredd better?
Neither clearly leads. Akoya starts at On request and Thredd at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Akoya or Thredd?
Akoya starts at On request and Thredd at On request.
Does Akoya or Thredd run on more platforms?
Akoya runs on Web. Thredd runs on Web, API.
What is Akoya best used for?
Akoya is most often used for a wealth management platform that needs fidelity brokerage holdings and tax lots, which cannot be scraped since fidelity closed that route in october 2023, a tax preparation product retrieving tax forms and cost basis directly from the institution rather than asking users to upload pdfs, a lender that needs a permissioning trail defensible under cfpb section 1033 rather than a credential-sharing arrangement, a bank that wants to meet data sharing obligations through one network connection instead of building and policing its own developer interface. Of those, a wealth management platform that needs fidelity brokerage holdings and tax lots, which cannot be scraped since fidelity closed that route in october 2023 and a tax preparation product retrieving tax forms and cost basis directly from the institution rather than asking users to upload pdfs are not what Thredd is typically brought in for.
What can Akoya do that Thredd cannot?
Akoya covers FDX standard APIs, Token-based access, Investment data, Accounts, balances and transactions. Thredd covers Issuer processing, Multi-country reach, Scheme certification, Programme support across verticals.

Answered from the vendors’ own pages

Akoya: Who owns Akoya?

A group of large US banks. It was spun out of Fidelity, which is why Fidelity data access runs through it.

Thredd: Is Thredd the same company as Global Processing Services?

Yes, GPS rebranded as Thredd in 2023; it is the same company and platform.

Akoya: Is Akoya screen scraping?

No. It uses FDX standard APIs with OpenID Connect tokens, so credentials are never shared with or stored by the data recipient.

Thredd: Does it hold the banking licence for programmes it processes?

No, Thredd is the issuer processor; a separate bank or BIN sponsor holds the actual issuing licence.

Akoya: Can we use Akoya alone instead of an aggregator?

Usually not. Its investment and large-institution coverage is excellent, but the long tail of smaller institutions is thinner, so most teams run both.

Thredd: Is pricing published?

No, it requires a sales conversation.

Akoya: Does it help with CFPB section 1033?

It is designed around it, providing tokenised permissioned access and consumer revocation rather than credential sharing.

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