Didit vs Data Zoo: database checks plus the whole verification flow
Didit vs Data Zoo from public pages: database validation in 45 countries plus a Global group, with document, liveness, face match, AML, KYB, transaction monitoring, wallet screening and agents in one account.

In short
Didit vs Data Zoo is a choice between buying a data match and buying the finished check. Didit runs government and authoritative database validation in 45 countries plus a Global group, and the same account adds the document, liveness, face match, AML, KYB, transaction monitoring, crypto wallet screening and agents that review the queue. Data Zoo's current stack page places document checks, biometrics, decisioning and case management outside Data Zoo.[2]
- Where a national register holds a photo, as in Argentina, Nigeria, Panama and South Africa, Didit matches the user's selfie against it, inside the same workflow.[9]
- Didit publishes its list prices: a full KYC check is $0.33 and AML screening is $0.20.[7] Data Zoo says rates vary by country and data source, with proposals through sales.[1]
- Didit's Investigator agent writes a cited report for each item waiting for review, Copilot builds workflows by conversation, and your own agents operate Didit through MCP.[20][21]
This comparison is for teams running onboarding for a fintech, a lender, a marketplace or a crypto product, where a registry match is one step. Someone still has to capture the document, prove the person is present, decide, keep the evidence and watch the money.
Data Zoo sells an identity data API that matches customer details against government, credit and telco sources.[1] We build Didit, so read this as our side; every Data Zoo fact below is cited to Data Zoo's own pages, read on 25 October 2026.
Didit vs Data Zoo at a glance
| Function | Didit | Data Zoo | Checked |
|---|---|---|---|
| Government and authoritative database checks | 45 countries plus a Global group, documented service by service, run inside the workflow[8] | Attribute matching of name, date of birth, address and ID number against records[1] | 25 Oct 2026 |
| Document and biometric checks | Document, passive liveness, face match, device and IP in one $0.33 check[7] | Current stack page: document verification, biometric verification and risk scoring sit outside Data Zoo[2] | 25 Oct 2026 |
| Decision and workflow | Workflow builder with branches and a final status per session[18] | Attribute-level outputs rather than a pass or fail; your orchestration layer decides which checks run[2][4] | 25 Oct 2026 |
| Case management | Cases with SAR and STR drafts exported as goAML XML and PDF[26] | Left to your case-management tools[2] | 25 Oct 2026 |
| Business verification | From $2.00 per company, with a linked KYC for each owner and officer[7][28] | A KYB product is not documented on Data Zoo's public pages (checked 2026-10-25)[6] | 25 Oct 2026 |
| Monitoring (transactions, wallets) | $0.02 per transaction; $0.15 per wallet check[7] | Not documented on Data Zoo's public pages (checked 2026-10-25)[6] | 25 Oct 2026 |
| Prices | List price per module on the pricing page[7] | Rates vary by country and data source; per-check prices not documented on Data Zoo's public pages (checked 2026-10-25)[1][6] | 25 Oct 2026 |
Data Zoo column: datazoo.com and docs.datazoo.com. Didit column: docs.didit.me.
A data layer in your stack, or the check itself
Data Zoo's data-layer page says it sits within your verification stack and does not replace your orchestration, document or fraud tools.[3] Its stack page adds that your orchestration layer determines which checks run and when.[2] It returns attribute-level outputs rather than a final pass or fail, and you configure the rules.[4]

Data Zoo's stack page, read 25 October 2026: orchestration, document verification, biometrics, fraud tools and final decisions stay with your existing tools.[2]
On Didit, the database check is one step in a Didit workflow, next to the document, the selfie, AML and the decision, and the whole session comes back through one API call.[17][18]
Data Zoo
Data inside your stack
- Attribute match against records
- Document, biometric and case tools stay elsewhere in your stack
- Your orchestration decides what runs
datazoo.com/how-data-zoo-fits-into-your-identity-verification-stack
Didit
The check, end to end
- Database check, document, liveness and face match
- Workflow decides, evidence comes back
- Cases, AML, KYB and monitoring on one account
docs.didit.me
Where the decision and the evidence live in each setup.[2][17]
Government and authoritative database checks, documented per country
Didit's catalog documents government and authoritative database checks in 45 countries plus a Global group: a government register in most countries, and a credit-bureau, financial-services, utility or residential file in some.[8] Each check lists its inputs and returned fields. Some registries Didit integrates directly and others it reaches through a global identity data network; the supported-countries page says which applies where.[8]
Three details change what a registry check is worth. First, the person present. Where the register holds a photo, Didit matches the user's selfie against it.[9] Didit resolves a Nigerian BVN only for the person present: the lookup is gated on a selfie face match.[12] Data Zoo describes its check as matching submitted attributes against records, and some of its government services return no data beyond the match, as with New Zealand DIA Passport.[1][5]
Second, no document needed. Each field in a Didit database check can come from its own input, so a selfie and a national ID number can run without document capture, and the response says why a validation did not run.[16] Third, visibility. Didit shows match coverage and median and 95th-percentile response time for every country and database you use.[15]
| Country and service | What you send | What comes back |
|---|---|---|
| Argentina, RENAPER | Document number, gender, selfie | Names, date of birth, tax ID and a face match score[10] |
| Mexico, CURP | The CURP | CURP status, names, gender, nationality, date and state of birth[11] |
| Nigeria, BVN (banking-industry database) | BVN and a selfie | Names and date of birth, only after the selfie matches[12] |
| South Africa, Department of Home Affairs | National ID number | The Home Affairs photo for that ID, matched against the user's selfie, plus register flags[13] |
| Panama, cédula (SIB) | Cédula number and a selfie | A biometric face match against the register[14] |
Inputs and outputs from each service's page in the Didit docs, read 25 October 2026. Database checks are priced per country.[7]
1Collect the ID number and a selfie
No document capture required where the country allows it.
2Query the country's service
The register confirms the data and, where it holds a photo, the face.
Did the source confirm the person
Continue the workflow
AML screening, then the final status, with the evidence stored.
Fall back or review
Switch to document capture or send the session to In Review.
A document-free registry check with a fallback, configured in one workflow.[9][15][16]
The rest of the flow, in the same account
A full Didit KYC check (ID verification, passive liveness, face match, and device and IP analysis) costs $0.33.[7] Didit supports 14,000+ document types. AML screening is $0.20, and you can turn ongoing AML monitoring on for up to 1,000 customers in one API call, with a cost estimate first, at $0.07 per user per year.[7][30]
On Didit, the AML screening hit sits in the same session as the document, the selfie and the registry answer: every session decision returns each check's result, the extracted fields, the capture images and videos, and the warnings behind the decision, through one API call.[17]
Didit's workflow builder shows each step's price while you build, and branches can merge back into one path.[18] The editor flags a branch that contradicts the outcome it routes to, before you publish.[19]
Prices as of 25 October 2026
Didit's plans change on 1 November 2026. The per-check list prices quoted here stay the same on the new plans.[31]
Agents that do the review work
Didit is agentic: it automates the fraud and compliance operations that usually need another analyst, so a small risk team handles far more volume. The Investigator agent reads each verification, transaction alert or case waiting for review and writes a report with a recommendation, citing its evidence. It decides on its own only within the policy and autonomy level your team sets, it never files a regulatory report, and every action is logged.[20] It runs on Didit's Growth plan and above, Didit enables it per organization, it is not available in sandbox, and it costs $0.20 per reviewed item. A support agent answers your users' support conversations from $0.02 per message.
Copilot works inside the Business Console. Describe the flow you need and it builds a validated draft workflow; it also creates questionnaires and database validation steps for any supported country.[15][16] Publishing requires your confirmation, and when it edits a workflow, a change card lists what changed and Undo reverts it.[19]
Your own agents connect through Didit's hosted MCP server at mcp.didit.me, over OAuth 2.1 with Log in with Didit. There is no API key to paste.[21] An MCP server or agent tooling is not documented on Data Zoo's public pages (checked 2026-10-25).[6]
Deciding check, warnings, status rule
Ask your agent why a session was declined: the Didit MCP traces the warning, status rule or reviewer override behind it.[22]
Transaction monitoring and crypto wallet screening
The risk comes when money moves. Didit scores transactions against real-time rules at $0.02 per transaction.[7] It ships over 150 preset transaction-monitoring rules, including iGaming presets for bonus abuse and chip dumping, and you can backtest a rule against your own history before you switch it on, from the console, the API or an AI agent.[23][24]
When a rule fires
Didit can hold the transaction and ask the user for one selfie, matched against the face they already verified.[25] The case ends in SAR, STR and other FIU report drafts, exported as goAML XML and PDF for your filing.[26]
Crypto products also need the address checked. Didit screens any crypto wallet address on demand for $0.15 per check, with a signed PDF report; the screening runs on blockchain-analytics providers.[27] A transaction-monitoring rule engine and crypto wallet screening are not documented on Data Zoo's public pages (checked 2026-10-25).[6]
KYB with a KYC for every owner
Choose per country how much registry data you buy: company profile, shareholders, or ultimate beneficial owners. Business verification is priced from $2.00 per business.[7][29] Didit checks each declared owner and officer against the company's own documents, then screens them and sends each one a linked KYC.[28]
One business, one record
The company, its owners and officers, their AML results and their linked KYC sessions sit in one place, and Didit validates EU VAT numbers through VIES as part of business verification.[15]
A business-verification product is not documented on Data Zoo's public pages (checked 2026-10-25).[6]
Prices you can read and a sandbox you can open
Didit publishes a list price for each module, prices database checks per country, and charges a session only for the checks it runs.[7] You open an account in the Business Console and start in the sandbox, where Test mode lets you pick the verification result first, so your tests can assert it.[15]
Data Zoo describes pay-as-you-go pricing at rates that vary by country and data source, with a proposal based on your markets and volumes.[1]
Before your first test call
Data Zoo's page says it first scopes your countries, sources and services, then issues sandbox credentials. Sandbox access follows an NDA, and match-rate testing on real records runs under a Data Evaluation Agreement.[1] On Didit, the sandbox opens with the account.
Switching from Data Zoo to Didit
- List the countries and sources you call on Data Zoo, then check each one in Didit's catalog for inputs, outputs and consent requirements.
- Rebuild the flow in Didit's workflow builder, or describe it to Copilot, with document fallbacks where a register does not answer.
- Map your statuses to Didit's Approved, Declined and In Review in your backend and webhooks.
- Route a share of sign-ups to Didit and compare coverage, conversion, fraud and cost on your own users.
- Add AML monitoring, KYB and transaction monitoring on the same identities, then move the rest.
- Day 1Open an accountSandbox and console, no proposal to wait for.
- Week 1Build and testWorkflow, database steps, webhooks, Test mode.
- PilotRun in parallelA share of traffic on each provider, per country.
- Cut overMove the restCountry by country, when your results and agreements allow.
A staged switch. Timing depends on your countries and volumes.
How Didit helps teams switching from Data Zoo
Didit gives you the database check and the rest of the verification in one account, each module with a published price. See the Data Zoo alternative page for the side-by-side, the database validation page for the checks by country, or the pricing page to price your flow.
Didit provides
- Database checks, documents, liveness and face match
- Workflows, decisions and the evidence behind them
- AML, KYB, transaction rules, wallet screening and cases
- Investigator reports, Copilot and the MCP server
Stays with you
- Your risk assessment and policies
- Consent where a service requires it
- The autonomy level each queue may use
- Filing reports with your financial intelligence unit
Run your country checks on Didit
Build the workflow in the sandbox, add the database steps you need and see the list price of each step.
Key takeaways
- Data Zoo's current stack page places document checks, biometrics and case management outside Data Zoo; Didit runs them with the database check.
- Didit's database validation covers 45 countries plus a Global group, and matches the selfie where the register holds a photo.
- Didit publishes list prices, from $0.33 for a full KYC check, and opens a sandbox without a proposal.
- KYB, monitoring, wallet screening and agents run on the same account.
Frequently asked questions
What is the main difference between Didit and Data Zoo?
Scope. Data Zoo supplies identity data and says document verification, biometric verification and risk scoring sit outside it. Didit runs database validation together with the document, liveness, face match, AML and the decision in one workflow and one API.[2][17]
Which government and authoritative databases does Didit check?
45 countries plus a Global group, for example RENAPER in Argentina, CURP in Mexico, Home Affairs in South Africa and the cédula register in Panama.[8]
Can Didit run a database check without a document photo?
Yes. Each field can come from its own input, so a selfie and a national ID number can run with no document capture, and where the register holds a photo the selfie is matched against it.[9][16]
How much does Data Zoo cost?
Data Zoo describes pay-as-you-go pricing at rates that vary by country and data source, with a proposal through sales. Per-check prices are not documented on its public pages (checked 2026-10-25). Didit's full KYC check is $0.33 and database checks are priced per country on its pricing page.[1][6][7]
Does Didit cover KYB, transaction monitoring and wallet screening?
Yes. Business verification is from $2.00 per business, with a linked KYC per owner, transaction monitoring is $0.02 per transaction, and crypto wallet screening is $0.15 per check, on the same account.[7][28]
What does the Investigator agent decide on its own?
Only what your team allows. It writes a cited report for each item waiting for review and decides alone only within your policy and the autonomy level you set. It never files a regulatory report and every action is logged. It runs on Didit's Growth plan and above, Didit enables it per organization, it is not available in sandbox, and it costs $0.20 per reviewed item.[20]
Is Didit a good Data Zoo alternative?
Yes. You get the database check and the finished verification from one provider, with published prices, full evidence on every session and agents that take review work off your team.[7][17][20]
Sources
- Identity verification, Data Zoo, read 25 October 2026.
- How Data Zoo fits into your identity verification stack, Data Zoo, read 25 October 2026.
- The data layer, Data Zoo, read 25 October 2026.
- Customer due diligence, Data Zoo, read 25 October 2026.
- New Zealand DIA Passport, Data Zoo docs, read 25 October 2026.
- Data Zoo website, home page, product, compliance, partner and policy pages and site map, read 25 October 2026.
- Pricing, Didit docs, read 25 October 2026.
- Database validation supported countries, Didit docs.
- Non-document lookup and registry photo match, Didit docs.
- Argentina RENAPER, Didit docs.
- Mexico CURP, Didit docs.
- Nigeria BVN, Didit docs.
- South Africa Home Affairs photo, Didit docs.
- Panama cédula with face match, Didit docs.
- July 2026 changelog, Didit docs.
- August 2026 changelog, Didit docs.
- Retrieve session, Didit docs.
- Workflows, Didit docs.
- September 2026 changelog, Didit docs.
- Investigator agent, Didit docs.
- MCP server overview, Didit docs.
- MCP tools, Didit docs.
- Rules library, Didit docs.
- Transaction rules API and backtesting, Didit docs.
- SDK transaction submission and step-up, Didit docs.
- FIU reports, Didit docs.
- Wallet screening, Didit docs.
- Key people, Didit docs.
- KYB supported countries and data tiers, Didit docs.
- Ongoing AML monitoring for users, Didit docs.
- New pricing from 1 November 2026, Didit blog.
Data Zoo and its marks belong to their owner; references here are nominative, for comparison only, and imply no affiliation. To compare on your own traffic, the Data Zoo alternative page has the side-by-side and the steps to start.
Run your Data Zoo flow on Didit
Start in the sandbox and see every check's evidence and price.
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