Most soft pull tools are built for residential mortgage. OmniaIQ's API pre-qualifies SMB and MCA leads from a name, phone, and email — returning FICO, DTI, available credit, and program match for SBA, MCA, and LOC in under 3 seconds. No SSN. No address. Zero score impact.
< 3s
API response time
Zero
Score impact on the lead
3 inputs
Name · Phone · Email
SBA, MCA, LOC
Programs matched per call
The gap
Floify, Blend, and LenderLogix are built for residential mortgage. They expect a 1003 application, a home address, and often an SSN at intake, and they return mortgage-specific data — PITI estimates, LTV, mortgage score models. That workflow simply does not exist in SMB lending, where leads arrive as a name and a phone number from a paid ad or a referral partner.
The bureau-adjacent alternatives have the same problem from a different angle. Address-based tools require a verified home address the lead never provided. SSN-based products require personal information no ISO collects at intake. The major bureau APIs require enterprise compliance certification and weeks of integration work. And none of them return a verdict — they return raw data for a credit analyst to interpret.
OmniaIQ was built specifically for the SMB lending stack: ISOs, MCA funders, SBA lenders, alternative lenders, and lead agencies. The input model matches what these businesses actually receive at lead intake — a name, a phone number, and an email — not a completed application.
The practical difference
Output
Sample API response (under 3 seconds)
Status: QUALIFIED
FICO Score: 712
Available Credit: $48,300
DTI: 34%
Program Match: SBA 7(a) ✓ | LOC ✓ | MCA ✓
─────────────────────────────────────────
Input used: Name + Phone + Email only
Score impact: Zero (soft pull)
SSN required: No
Address required: No
For each lead, OmniaIQ returns a Qualified or DNQ verdict, FICO credit score, available revolving credit, debt-to-income ratio, and a program match indicating which SMB loan products the lead qualifies for — SBA 7(a), MCA, line of credit, term loan, and equipment leasing.
The verdict is not raw data — it is a decision. An ISO or lender using OmniaIQ does not need a credit analyst to review each result. The system evaluates the credit profile against your configured program criteria and returns a binary answer: this lead is worth calling, or it is not.
Business verification signals are layered on top of the credit pull — time in business, industry flags, and revenue indicators where available — giving SMB lenders additional context beyond individual FICO alone.
Compliance
A soft pull credit inquiry does not appear on a consumer's credit report as seen by other lenders. It does not lower the applicant's FICO score, and the applicant is not penalized for being screened. This is fundamentally different from a hard inquiry, which occurs at a formal loan application, can temporarily lower a score by 5–10 points, and remains visible to other lenders for up to two years.
For SMB lenders and ISOs, the zero-score-impact property matters for two reasons. First, applicants still shopping multiple lenders are not penalized for being pre-screened. Second, leads can be screened at the earliest possible contact stage — before the applicant has indicated serious intent — without creating a credit footprint that could complicate their eventual application.
OmniaIQ's pre-qualifications are conducted under FCRA Section 604 permissible purpose. Lenders and ISOs must certify permissible purpose before submitting API requests and must maintain appropriate consent records. OmniaIQ is not a credit bureau; it operates as a permissible-purpose pre-screening layer on top of bureau data.
Where it fits
OmniaIQ sits between lead acquisition and your first sales call. It is not a loan origination system. It does not replace your CRM, your underwriting platform, or your LOS. It is the filter that determines which leads deserve to enter those systems at all.
Lead acquisition
OmniaIQ pre-qualification
CRM routing
Sales + underwriting
| Attribute | OmniaIQ | Mortgage POS / soft-pull tools |
|---|---|---|
| Inputs required | Name, phone, email | Application, address, often SSN |
| Vertical | SBA, MCA, LOC, term, equipment | Residential mortgage |
| Output | Qualified / DNQ + program match | Raw credit data or borrower letter |
| When it runs | Before first contact | After the borrower applies |
| Score impact | Zero (soft inquiry) | Varies; hard pull at application |
Integration
OmniaIQ's REST API accepts a name, phone number, and email via a POST request and returns a structured JSON response with the Qualified/DNQ verdict, FICO score, available credit, DTI, and program match. It drops into any existing lead flow — a CRM webhook, a Zapier step, a Make scenario, or a direct call from your lead routing system.
Named integrations include GoHighLevel, HubSpot, Salesforce, Zapier, Make, n8n, Typeform, ClickFunnels, Calendly, Jotform, Webflow, and Leadpages.
For ISOs and lenders without engineering resources, the GoHighLevel and HubSpot integrations require no code — a webhook configuration connects your existing CRM to OmniaIQ in under an hour. For teams with engineering resources, the REST API documentation includes code samples in cURL, JavaScript, and Python.
A soft pull credit API for SMB lenders is an application programming interface that retrieves credit data on a potential business loan applicant using only a name, phone number, and email — without requiring an SSN, without triggering a hard inquiry, and without impacting the applicant's credit score. OmniaIQ's soft pull API is specifically designed for the SMB lending vertical, returning FICO scores, available credit, DTI, and program match results for SBA 7(a), MCA, LOC, and equipment financing — not residential mortgage data.
Yes. OmniaIQ's pre-qualification API returns program match results for MCA, SBA 7(a), line of credit, term loan, and equipment financing simultaneously. An ISO using OmniaIQ receives a single API response that shows which of these products the lead qualifies for — allowing immediate routing to the right product specialist without an additional underwriting step.
Floify and Blend are mortgage-specific point-of-sale and pre-qualification tools. They are built around the residential mortgage workflow: 1003 applications, property addresses, mortgage-specific FICO score models, LTV calculations, and PITI payment estimates. SMB lending has no equivalent of the 1003 — leads arrive as contact information only. OmniaIQ's input model (name + phone + email) matches the SMB lead intake reality that Floify and Blend were not built to serve.
No. OmniaIQ's API requires only first name, last name, phone number, and email address. No home address, no date of birth, and no Social Security Number are required at the pre-qualification stage. This is the critical differentiator for SMB lenders and ISOs whose leads arrive from paid ads, referral networks, or lead agencies with contact information only.
OmniaIQ's identity matching engine resolves a lead's credit file from name, phone, and email using a proprietary matching algorithm built on bureau data. The matching step, credit pull, FICO calculation, program eligibility evaluation, and response assembly are all processed in a single API call. The 3-second benchmark reflects typical performance under normal conditions; actual response times depend on network latency and bureau data availability.
OmniaIQ uses FICO scores for SMB loan pre-qualification — the score model most commonly referenced by SBA lenders, MCA funders, and alternative lenders in their underwriting guidelines. This is distinct from the mortgage-specific FICO models (FICO 2, 4, and 5) used in residential mortgage underwriting. For lenders whose program criteria specify a minimum FICO score, OmniaIQ's returned score is directly applicable to that threshold without conversion.
OmniaIQ's pre-qualifications are soft credit inquiries conducted under FCRA Section 604 permissible purpose. They do not appear on the applicant's credit file as seen by other lenders and have no impact on credit score. Lenders and ISOs using OmniaIQ are responsible for certifying permissible purpose before submitting API requests and for maintaining appropriate consent records from their leads. OmniaIQ is not a credit bureau and does not serve as legal counsel on FCRA compliance.
In addition to individual FICO score and credit data, OmniaIQ's Business Funding tier returns business verification signals — indicators of business age, industry category, and revenue proxy where available from bureau and commercial data sources. These signals help SMB lenders assess business-level risk factors alongside the individual guarantor's personal credit profile, providing a more complete pre-qualification picture without requiring a full application.
DNQ leads are not dead leads — they are not-yet-ready leads. OmniaIQ returns specific credit signals that explain the reason for the DNQ verdict (for example, FICO below program minimum, DTI too high, insufficient available credit). Most lenders route DNQ leads to a credit-improvement nurture sequence, a lower-ticket product they currently qualify for, or a 90-day re-qualification flow. Pre-screened DNQ leads typically convert to funded deals at a higher rate than raw leads in a 90–180 day nurture cycle.
OmniaIQ integrates with GoHighLevel via webhook. When a lead enters a GoHighLevel pipeline or contact record, a webhook fires to OmniaIQ with the lead's name, phone, and email. OmniaIQ returns the Qualified/DNQ verdict, FICO score, DTI, and program match, which are automatically written back to the GHL contact record as custom field values. Qualified leads trigger one pipeline stage (sales queue); DNQ leads trigger a separate stage (nurture). The integration requires no coding — only a webhook configuration in GHL and an API key from OmniaIQ.
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