One API call turns duplicate records, conflicting customer profiles, and siloed product catalogs into a single canonical golden record.
For integration architects, data governance leads, and VP Engineering teams surviving three acquisitions' worth of CRM debt.
847 conflicting records detected
POST /v1/resolve/merge
Three acquisitions. Five CRMs. Zero agreement on how to spell "Johnson & Johnson." Your compliance board wants a master customer list by Friday. You have 14 million records and no canonical truth.
Request
{
"strategy": "fuzzy_canonical",
"sources": ["salesforce", "sap", "snowflake"],
"confidence_threshold": 0.92,
"output": "golden_record"
}Response
HTTP 200 · 1.8s
{
"canonical": "Johnson & Johnson",
"confidence": 0.9997,
"merged_count": 847,
"golden_record_id": "ent_jnj_canonical"
}Your ERP, your e-commerce platform, and your warehouse management system each invented their own product identifier scheme. Black Friday is in 72 hours. A 40,000-SKU mismatch is blocking your inventory sync.
Request
{
"catalog_sources": ["sap_erp", "shopify", "wms"],
"match_on": ["sku_pattern", "description", "barcode"],
"normalize": true,
"emit_crosswalk": true
}Response
HTTP 200 · 0.9s
{
"canonical_sku": "SKU-12A",
"crosswalk": {
"sap_erp": "SKU-12A",
"shopify": "SKU_12a",
"wms": "12A"
},
"matched_count": 40000
}GDPR audit. SOX audit. Your compliance board is staring at 12,000 address discrepancies across customer records. The fines start at €20M. You need a defensible lineage report showing exactly which record was merged, when, and why.
Request
{
"record_id": "ent_canonical_00192",
"include_lineage": true,
"include_confidence_trace": true,
"format": "compliance_report"
}Response
HTTP 200 · 0.3s
{
"canonical_address": "221B Baker Street, London",
"lineage": [
{ "source": "CRM_Primary", "merged": "2024-01-15", "confidence": 0.9991 },
{ "source": "ERP_Billing", "merged": "2024-01-15", "confidence": 0.9876 }
],
"audit_hash": "sha256:a1b2c3..."
}No problems remaining
Single source of truth. One API call.
You've already watched us resolve 847 conflicts in 1.8 seconds. Tell us about your worst data nightmare — we'll show you exactly how Resolve handles it before you sign anything.
Response within 4 business hours from a senior integration engineer
Your data stays yours — we sign NDA before any data exchange
Free conflict analysis report on your first 100K records
Prefer to evaluate the schema first?
</>Explore API DocsBase URL
https://api.resolve.io/v2
Levenshtein + phonetic
RFC 5321 canonical
USPS CASS + SERP
libphonenumber
Blocking + scoring
GET /v1/audit/lineage/ent_jnj_001
→ 200 OK
{
"events": [
{ "t": "2026-01-15T02:14:33Z", "op": "MERGE", "sources": 3 },
{ "t": "2026-01-15T02:14:34Z", "op": "CANONICAL_SET", "confidence": 0.9997 }
],
"audit_hash": "sha256:a1b2c3d4..."
}We had 14 million customer records across four Salesforce orgs after two acquisitions. Resolve collapsed them into 9.2 million canonical entities in 6 hours. The compliance audit that was supposed to take 3 months took 11 days.
Marcus Webb
VP Engineering
Meridian Financial Group
I was the integration architect who had to explain to the board why our CRM had 847 versions of Johnson & Johnson. Resolve gave me a defensible audit trail with SHA-256 hashes on every merge decision. That's what compliance boards actually need.
Priya Anand
Principal Integration Architect
Vertex Systems
At 2 AM with a Black Friday inventory sync failing because our ERP and e-commerce platform couldn't agree on SKU format — one POST request to /v1/resolve/products/normalize and 40,000 SKUs reconciled. I actually exhaled.
Tomás Reyes
Director of Data Engineering
Cascade Commerce
Your data conflicts end here.
Stop debugging merge conflicts at 2 AM. Stop explaining to compliance boards why your CRM has 847 versions of the same customer. One API call. One canonical truth.