Enterprise Data API

One API. Every enrichment, verification, and signal workflow.

Replace multiple point-solution vendors with a single integration. Sub-200ms responses, schema-flexible output, and source attribution on every field. Built for engineering teams who are done stitching.

< 200ms
average API response time
99.9%
uptime SLA on enterprise plans
1 API
replacing multiple point-solution vendors
What you get

What changes on day one.

One call, every system
REST API feeds your CRM, Snowflake, marketing automation, and risk tools from a single enrichment layer.
Schema-flexible output
Return exactly the fields each downstream system needs. No rigid schemas, no unwanted data.
Source attribution on every field
Confidence score, data source, and last-verified timestamp. Audit-ready from the first API call.
The real problem

The real cost isn't vendor invoices. It's the engineering time stitching them together.

Most enterprise data teams are managing 3–5 point-solution vendors for what is fundamentally one workflow: take a contact or company identifier, and return everything useful you know about it. ZoomInfo for contacts. Clearbit for firmographics. A KYC vendor for compliance. A separate intent provider. Each with its own API, its own schema, its own rate limits, its own support contract.

The engineering cost of maintaining those integrations is real and ongoing. Every vendor API change breaks something. Every new use case means a new procurement cycle. And none of these systems talk to each other, so your downstream teams are working from different, often conflicting, versions of the same truth.

Salmon consolidates the enrichment and verification layer into a single API. Your engineering team integrates once. Every system that needs contact, company, or signal data calls Salmon. The response includes source attribution and confidence scoring, so your downstream consumers know what to trust and why.

How the market works
Multiple point solutions
Lower per-unit cost on each, but compounding engineering overhead, schema drift, and vendor management across the stack.
Building in-house
Maximum control, maximum cost. A three-person data eng team to maintain what Salmon handles via one API call.
Data marketplace / CDPs (Customer Data Platforms)
Good for offline batch use cases. Limited for real-time enrichment at point of record creation or transaction.
"One integration. One contract. One source of truth across your data stack."
Practitioner perspective
We replaced three separate data vendors with a single Salmon API integration. Engineering stopped maintaining enrichment pipelines and started building product. That's the trade we wanted.
VP Data Platforms Large Enterprise · 5,000+ employees · Multi-system data architecture
Common questions

Things we hear on every call.

What's the latency under load?+
How do you handle our existing vendor contracts?+
What does the data schema look like?+
Next step

See it running on your data.

No slides. We run Salmon on your actual records and show you what changes. 30 minutes.

Book a 30-min demo Try the live explorer →