APIs · head to head
Akoya vs LiteLLM

Akoya
APIs
Bank-owned, token-based open finance network that replaces screen scraping for US financial data
- From
- On request
- Rated
- -
The short version
- Only LiteLLM has a free tier, so it costs nothing to try first.
- 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.; LiteLLM enterprise pricing based on annual request capacity and deployment architecture, sized via direct sales
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Akoya and LiteLLM actually diverge.
Identical on both: platforms (Web), 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 LiteLLM
Nothing recorded that Akoya does not also cover.
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 LiteLLM
- A tax preparation product retrieving tax forms and cost basis directly from the institution rather than asking users to upload PDFsnot LiteLLM
- A lender that needs a permissioning trail defensible under CFPB section 1033 rather than a credential-sharing arrangementnot LiteLLM
- A bank that wants to meet data sharing obligations through one network connection instead of building and policing its own developer interfacenot LiteLLM
LiteLLM
- Accessing 140+ LLM providers through single APInot Akoya
- Implementing cost-based routing for advanced AI tasksnot Akoya
- Deploying new LLM models usually within a daynot Akoya
- Switching backend models with config changes onlynot Akoya
- Maintaining consistent access across 100+ endpointsnot 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.
LiteLLM
- Enterprise pricing based on annual request capacity and deployment architecture, sized via direct sales
- Not per-token based pricing for Enterprise tier
Pricing, plan by plan
Akoya
On request- Akoya Data Access$undefined/year
- Usage-based pricing quoted by data product and call volume
- Separate commercial terms for data recipients and for financial institutions joining the network
- No published rate card
LiteLLM
Free- Open SourceFree
- 100+ providers
- One OpenAI API
- Virtual keys
- Enterprise$null/mo
- All Open Source features
- SSO + SCIM
- OIDC/JWT authentication
Which should you pick?
Questions people ask
- Is Akoya or LiteLLM better?
- Neither clearly leads. Akoya starts at On request and LiteLLM at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Akoya or LiteLLM?
- LiteLLM has a free tier; the other does not. Paid plans start at On request for Akoya and Free for LiteLLM.
- Does Akoya or LiteLLM run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- Can I use LiteLLM for free?
- Yes. LiteLLM has a free tier, so you can try it without paying. Akoya starts at On request.
- 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 LiteLLM is typically brought in for.
- What can Akoya do that LiteLLM cannot?
- Akoya covers FDX standard APIs, Token-based access, Investment data, Accounts, balances and transactions.
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.
LiteLLM: Is LiteLLM free to use?
Yes, LiteLLM's open-source version is free forever and requires no credit card. Self-host in minutes with support for 100+ LLM providers.
SourceAkoya: 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.
LiteLLM: What does LiteLLM's Enterprise plan cost?
Enterprise pricing is custom and annual, sized based on your annual gateway request capacity, deployment architecture, and support needs. Not charged per token.
SourceAkoya: 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.
LiteLLM: Is there a free trial for Enterprise?
Yes, a 30-day Enterprise trial key is available via email with no credit card required.
SourceAkoya: 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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