Implementation BlueprintExecution layer

Autobound White-Label Signal API Setup (6-9 days)

Stand up a white-label OEM deployment of Autobound's signal API so agency clients get 700+ signal types from 35+ sources on 270M+ contacts and 50M+ companies under the agency's own brand, with credit allocation and billing handled at the retainer level. Time: 6-9 days.

By InnovaAI ResearchPublished

How do you implement it?

Blueprint

Autobound White-Label Signal API Setup (6-9 days)

Stand up a white-label OEM deployment of Autobound's signal API so agency clients get 700+ signal types from 35+ sources on 270M+ contacts and 50M+ companies under the agency's own brand, with credit allocation and billing handled at the retainer level.

Prerequisites
  • Signed Autobound OEM licensing agreement plus production API keys and MCP server credentials issued by the vendor
  • Named pilot client with a defined ideal customer profile and at least three target signal types (funding, hiring, leadership change)
  • Client-side engineering contact who can accept REST API responses or scheduled batch file drops into cloud storage
  • A credit ledger model agreed internally: how credits are allocated per client and how zero-result requests are logged as free
  • Written data handling terms covering contact and company enrichment fields passed through the white-label layer
Execution Timeline
  • 1.Generate production API keys and confirm OEM licensing scope in writing
  • 2.Run test queries against the search endpoint to benchmark signal coverage and response times for the pilot client's niche
  • 1.Map the pilot client's ICP to specific Autobound signal types from the 700+ catalog
  • 2.Decide which of the 35+ sources matter for their buying motion and document the exclusions
  • 1.Build the white-label wrapper: agency-branded endpoint or portal that proxies Autobound REST API calls
  • 2.Configure MCP server access for any client-side AI SDR tooling that needs direct signal lookups
  • 1.Set up scheduled batch file delivery to the client's cloud storage as a fallback to live API calls
  • 2.Test enrichment field mapping into the client CRM so contact and company records land cleanly
  • 1.Instrument credit metering per client: log every request, tag zero-result requests as free, and reconcile against purchased credit packs
  • 2.Draft the per-client credit allocation sheet tied to retainer tier
  • 1.Run a parallel week of live signal delivery against the pilot client's real pipeline
  • 2.Compare signal hit rates and false positives, then tune the signal type list
  • 1.Package three service tiers: Signal Setup, Managed Enrichment, OEM Integration
  • 2.Write the client-facing runbook covering refresh cadence, credit burn, and escalation
  • 1.Handover session with the client engineering contact and a signed acceptance on the white-label endpoint
  • 2.Publish internal billing reconciliation process so credit purchases are recharged correctly
$19 to $4,999 in one-time credit packs depending on pilot volume (Starter $19 for 2,000 credits, Growth $49 for 5,444 credits, Scale $149 for 19,867 credits), plus OEM licensing terms negotiated separately with Autobound6-9 days
ROI Logic

Credit packs are one-time purchases with credits that never expire, so the agency buys at the $19 to $4,999 range and resells signal delivery inside a monthly retainer rather than marking up per-query. Zero-result requests are free, which protects margin on sparse niches where a client's ICP returns thin coverage. The margin comes from the white-label wrapper and managed refresh cadence, not from the data itself, so price the retainer on delivery scope and keep credit burn visible to the client.

Deliverables
  • Agency-branded white-label signal endpoint or portal proxying the Autobound REST API
  • Signal type mapping document listing the selected signals from the 700+ catalog and the excluded sources
  • Per-client credit ledger with zero-result request tagging and monthly reconciliation report
  • Scheduled batch delivery pipeline pushing enriched contact and company files to client cloud storage
  • Client runbook covering refresh cadence, credit burn thresholds, and escalation path
Definition of Done

The pilot client is receiving live Autobound signals through the agency-branded endpoint or scheduled batch drop, credit consumption reconciles to the purchased pack, and the client has signed acceptance of the white-label handover.