OpenClaw, find
the next best customer.
Drop Lookalike Enrich into your OpenClaw agent as a single tool call. Your best customers go in as the seed, a ranked prospect audience comes out — firmographic, demographic, and technographic attributes matched consistently across both sides. Push to an ad platform or hand to sales. Billed per matched profile. No subscription, no seat license.
Real OpenClaw agents that rely on this tool.
Each pattern below is a single OpenClaw agent with Lookalike Enrich registered as one tool. The agent only spends when it returns a matched profile — so lookalike runs are cost-predictable by design.
Refresh the lookalike audience before every campaign.
A growth-side OpenClaw agent triggers before each campaign launch, re-enriches the current customer seed, re-matches against the prospect pool, and returns an updated ranked audience. The campaign goes live on a current lookalike — not a model trained months ago on a different customer base.
Outbound lists built from who already converts.
A sales-side OpenClaw agent enriches closed-won accounts as the seed, finds prospects with matching firmographic and technographic profiles, and returns a ranked outbound list. BDRs receive a prioritized list where every name resembles a proven buyer — no list vendor, no manual filters.
Retrain the model when your ICP shifts.
A RevOps OpenClaw agent triggers after a product launch or market expansion, re-enriches the updated seed with the new ICP segment, and returns a fresh audience. The model reflects the current customer base — not last year's — without a manual rebuild each time strategy changes.
Check enrichment coverage before the model runs.
A data-ops OpenClaw agent checks field completeness across both the seed and the prospect pool before kicking off a model run. If coverage is sparse on either side, the agent flags it and pauses — so the model only runs when the signal on both sides is strong enough to be meaningful.
Stop rebuilding audiences manually every quarter.
Register one tool and your OpenClaw agent gets fresh lookalike audiences on demand. Idle runs cost zero. That's the entire deal.
- Single OpenClaw tool
- Budget caps honored
OpenClaw-specific questions.
If something below doesn't cover your case, ping us — we work directly with OpenClaw builders, no SDR funnel.
How does this register as an OpenClaw tool?
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It's a single POST endpoint with a typed body. You register it in OpenClaw the same way you'd register any HTTP tool — endpoint, schema, price-per-hit. OpenClaw uses the price to enforce budget caps and to show the user what each model run will cost before it runs.
Can an OpenClaw agent run seed enrichment and prospect matching in one run?
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Yes. A single OpenClaw agent run can enrich the seed records, pass them to the lookalike matching step, receive the ranked prospect audience, and route the output to an ad platform or CRM — all within one agent execution and one budget cap.
Does OpenClaw need a long-lived API key?
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No. Lookalike Enrich is billed per call with no long-lived secret to leak in agent logs or rotate every quarter.
What happens when an OpenClaw run hits its budget cap mid-match?
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The API returns the matched profiles resolved so far and stops. OpenClaw treats this as a normal tool result so the agent can decide whether to ask the user for more budget, work with the partial audience, or queue the remainder for a follow-up run.
Can an OpenClaw agent retrain the model on a schedule?
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Yes. A scheduled OpenClaw agent can re-enrich the seed on a cadence — monthly, after a product launch, or when the customer base crosses a milestone — and return a fresh audience each time without human involvement.
How is this different from giving OpenClaw access to an ad platform's lookalike tool?
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Ad platform lookalikes are black-box models tied to platform ad spend. Lookalike Enrich returns explicit, inspectable attribute matches — OpenClaw can see exactly what the model matched on, route the output anywhere, and report a true per-profile cost to the user up front.
Is the data compliant?
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Yes. SOC 2 Type II, GDPR-aligned data handling, and contractual restrictions on consumer-marketing use. Designed for B2B acquisition modeling and outbound workflows.