Working Mono · an AI-native firm

Lead enrichment, engineered at raw API cost.

Enrichment platforms price in credits, and the markup sits between you and the data. We write the waterfall as code that calls Clearbit, Apollo, and the verification APIs directly at raw cost, then cache every resolved record in your warehouse. The second time you need it, the lookup is free.

We do the work. You own the machine. Enrichment running at raw cost in month one.

Proof

30+Commercial systems delivered
Month 1Foundation live, guaranteed
100%Owned by you
270+Workflow patches shipped to client systems
Attio Founding Expert Partner
Trusted by AI-native teams Granola Reducto Cache Vetrec
The definition

What is waterfall enrichment? Provider calls in order, priced at cost.

Waterfall enrichment calls data providers in sequence until a field resolves: query the first API, fall through to the next, verify the result, stop. Written as code, the waterfall runs at raw API cost with no per-credit platform markup, and every resolved record lands in your warehouse, cached so you never pay twice.

How it compounds

How owned enrichment compounds. Paid once, used everywhere.

Each enrichment patch logs cost, fill rate, and accuracy to the warehouse. The cache grows, the waterfall reorders around what resolves, and the per-record price keeps falling.

Step 01

Map the data terrain

We read your CRM, warehouse, and current enrichment bills before writing a line of the waterfall. Which fields are missing, which providers you already pay, where the same record was purchased more than once. The gaps and the spend, charted into a map your team can inspect.

Output: the data terrain map, gaps and spend charted

Step 02

Design the waterfall

Per field, we set the provider order, verification rules, and cost ceilings: which API to try first for an email, when to fall through, what counts as resolved. The logic is code in your repo, readable in one sitting and changeable in a pull request.

Output: the waterfall spec, committed as code

Step 03

Call the providers direct

The waterfall calls data APIs straight from your infrastructure at raw rates, with no credit layer in between. Each answer is verified before it counts, failures fall through to the next provider, and every call is logged with the price it carried.

Output: fields resolved at raw api cost, logged

Step 04

Cache it in your warehouse

Every resolved record lands in your warehouse with source, timestamp, and price paid. Before any new run, the waterfall checks the cache first, so a record you bought in March costs nothing in June. Refresh windows keep stale fields from surviving too long.

Output: a cache that makes the second lookup free

Step 05

Read the quality ledger

Fill rate, verification pass rate, and cost per resolved field, reported weekly per provider. When a source degrades, the ledger shows it before your reps do, and the waterfall reorders around what still resolves cleanly for your segments.

Output: the weekly quality ledger, cost per field

Step 06

Feed every workflow

Enriched records flow onward: into the CRM your reps read, the scoring that ranks accounts, the outbound queues, the routing rules. One enrichment layer feeds them all from the warehouse, so no tool holds a private copy of the truth.

Output: one enrichment layer, every workflow fed

Your enrichment bill, at raw API cost. See the math in 20 minutes.

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One revenue memory. Every surface.

GTM inputs
attio
stripe
metronome
clearbit
apollo
snowflake
segment
postgres
slack
hubspot
mixpanel
intercom
zendesk
linear
bigquery
salesforce
posthog
amplitude
+ and more
Month one

Month one takes enrichment in-house. Weekly patches keep it fresh.

We absorb how your data flows today, then build the enrichment foundation under it: cache live, first waterfall calling providers at raw cost, quality ledger reporting, code in your repo.

Week 1

Map the data terrain

Your team names the fields that block work today. We chart record sources, missing coverage, and current enrichment spend, then stand up the cache.

Week 2

The first waterfall

The first waterfall runs on your real records: providers called in order, results verified, every dollar of API spend logged to the warehouse.

Week 3

Cache and ledger live

The cache starts answering repeat lookups for free, and the quality ledger reports fill rate and cost per field, per provider, in Slack.

Week 4

Enrichment owned

Waterfall code committed to your repo, records in your warehouse. The enrichment foundation is live, or your money back. Next patch queues.

You own the machine.

The waterfall is code in your repo, readable down to the provider order. Every record it resolves sits in your warehouse with source, cost, and timestamp, and the workflows that consume it, CRM sync, scoring, routing, run on your infrastructure. There is no credit balance to top up and no platform between you and the data APIs. Cancel any month and the system keeps running.

In production

Real systems, running today.

Our own enrichment waterfalls run inside our PATCH instance, alongside the 30+ owned commercial systems we've delivered, all operated weekly.

The next step

Let's take enrichment off the meter.

In 20 minutes you'll know what you pay per resolved record today, which fields a code waterfall resolves cheaper, and how much of your list is already answerable from a cache.

prefer email? contact@workingmono.com