# Enrichment Without Credits | Working Mono

> Machine-readable mirror of https://www.workingmono.com/enrichment
> Working Mono is the AI-native firm behind PATCH. We do the work. You own the machine.

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.

Book a 20-minute call ->
What does enrichment cost?

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

## Proof

30 + Commercial systems delivered

Month 1 Foundation live, guaranteed

100 % Owned by you

270 + Workflow patches shipped to client systems

Trusted by AI-native teams

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.

DATA TERRAIN · GAPS AND SPEND 01 / MAP

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.

Book a 20-minute call

Ask, then act

## 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

attio

stripe

metronome

clearbit

apollo

snowflake

segment

postgres

slack

hubspot

mixpanel

intercom

zendesk

linear

bigquery

salesforce

posthog

amplitude

+ and more

01 / 05

>

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.

D01 WEEK 1 / 4 · 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 1 Map the data terrain d07 · gaps charted

Week 2 The first waterfall d14 · live at raw cost

Week 3 Cache and ledger live d17 · first free lookup

Week 4 Enrichment owned d28 · waterfall in repo

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.

operating ledger
systems 34
runs · 7d 0
utc --:--:--

id system motion schedule last run runs·7d status

&#9646; standing by&hellip;

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.

Booking · intro call &#9670; 20 min · direct with the team

reading the calendar&hellip;

prefer email? contact@workingmono.com

We do the work. You own the machine .

#### Product

How PATCH compounds
RevOps automation
Outbound engineering
Working Mono home

#### Company

How month one works
In production
Proof
Contact

#### Get in touch

contact@workingmono.com
Book a call

(c) 2026 Working Mono. Official Attio Founding Expert Partner.
