DATA INFRASTRUCTURE · PROSPECTING

Data Infrastructure for Prospecting

Accounts identified from live signals, the right people found and verified, every row scored against your ICP and delivered into the CRM or sequence tool before the first call of the day. The infrastructure under prospecting, run by autonomous AI agents.

SIGNAL-QUALIFIED ACCOUNTSVERIFIED CONTACTS ONLYDELIVERED TO YOUR STACK
60+
data capabilities

Firmographics, technographics, hiring, funding, news, intent, people and verification behind one objective.

8
signal families

Hiring, funding, technology adoption and change, news, relationships, intent, growth and leadership moves.

0
credits on misses

A contact lookup that finds nothing costs nothing; only found, verified rows bill.

1
approval per push

Every write into a CRM, sequence or ad account waits for a person; research never does.

⟨ THE JOB TODAY ⟩

Where the week actually goes.

01 /

The list is built by hand, then goes stale

Filters in one tool, a lookup in a second, a verifier in a third, a spreadsheet to hold it together. By the time the list is clean the hiring signal that made an account interesting is three weeks old.

02 /

Timing is guessed

The account that just raised, just hired a new VP or just adopted a competing product is reachable this month. Nobody has time to read job boards and filings, so outreach goes out in alphabetical order.

03 /

Contact data lies

Purchased lists bounce, pattern-guessed emails burn domains, and a rep discovers the champion left the company from the auto-reply. Every bad row costs a send and a bit of sender reputation.

PROSPECTING MISSIONLIVE · 04:12 ELAPSED
WITH ASTROFABRIC

What changes when agents carry the work.

Accounts from signals, matched to your ICP

Companies identified by hiring, funding, technology adoption, buying intent, similarity to your best customers or location, then filtered by the industries, sizes, geographies and technologies in your ICP.

discover_companies · similar_companies · hiring_signals

The right people, verified before they count

Titles, seniorities and departments resolved to named people at each account; work emails and direct phones found through a waterfall of sources and verified before the row is counted.

people_search · person_enrich · email_verify

Fit scored and explained

Every row carries a fit score against the ICP and the reasons behind it, so the call sheet starts with the accounts most worth the morning and nobody argues with a black box.

list_score · fit score with reasons

Delivered where prospecting happens

The list lands in HubSpot, Pipedrive or Attio as an approval batch, in Lemlist or Instantly as a paused campaign, or in a sheet sorted by signal with the why-now beside each name.

list_push · CRM, sequence tool or sheet
HOW IT WORKS

From objective to delivered rows.

  1. 01 · OBJECTIVE

    Describe who

    One sentence, or nothing at all: the workspace ICP already holds industries, sizes, geographies, technologies, titles and the signals worth acting on.

  2. 02 · IDENTIFY

    Identify accounts

    Agents query company indexes by firmographics, technographics, hiring and funding, and expand from your best customers to lookalikes.

  3. 03 · DISCOVER

    Find people

    The buying committee at each account by title and seniority, with a person reference the next step can buy details for.

  4. 04 · VERIFY

    Verify and enrich

    Emails and phones found source by source and verified; firmographics, technographics and the latest signal attached to each row.

  5. 05 · SCORE

    Score and clean

    Fit scores with reasons, duplicates merged, role accounts and suppressed companies removed, risky addresses held aside.

  6. 06 · DELIVER

    Deliver

    A persistent list you can refresh, exported as CSV or pushed into the CRM and sequence tool after a one-click approval.

⟨ THE DATA ON EVERY ROW ⟩
IndustryHeadcountHeadquartersFoundedRevenue rangeFunding stage and amountTechnologies in useRecently adopted technologyOpen rolesHiring velocityBuying-intent topicsNews and launchesLeadership changesTitle and seniorityDepartmentVerified work emailDirect phoneProfile URLFit score and reasons
USE CASES

The jobs this page was written for.

Hiring-signal outbound

Every Monday the agents find companies in your ICP that posted the roles your product relieves, identify the executive who owns the pain, verify a way to reach them and stage a CRM batch.

A fresh, signal-dated list each week without a research block.

Lookalike expansion

Ten best customers in, two hundred companies that look like them out: same size band, same stack, same buying signals, scored for fit and deduplicated against the CRM.

A territory plan built on evidence instead of a TAM slide.

Recent adopters of a technology

Companies that adopted a complementary or competing product in the last 30 days, with the person most likely to own it, so the pitch lands while the decision is fresh.

Outreach that references a change the buyer just made.

Local and regional prospecting

Every business of a category in a city with a 4.5 rating and a website, resolved to a domain, with an owner or manager contact found where one exists.

SMB territories mapped in an afternoon.
BEFORE AND AFTER

A prospect list, before and after

By handWith AstroFabric
Building the listThree tools, a spreadsheet and a morningOne objective, a few minutes of agent time
Why-nowGuessed, or skippedThe signal that qualified the account, dated, on every row
Contact qualityPattern guesses and old exportsWaterfall-found emails, verified before they count
FitWhoever matched the filterScored against your ICP, with reasons
Cost of a missPaid whether or not it was foundFree; only found rows bill
DeliveryCSV upload, column mapping, duplicatesApproved push into CRM or sequence, deduped
MISSIONS YOU WOULD RUN

Described in plain language. Delivered end to end.

PROSPECTING

Hiring-signal prospecting list

Companies that posted the roles your product exists to relieve, the VP identified and verified, pushed to the CRM with the posting quoted.

Hiring DataFirmographicsEmail FinderHubSpot
ONE MISSION · EVIDENCE ATTACHED
PROSPECTING

Best-customer lookalikes, scored

Ten reference accounts expanded to two hundred lookalikes on stack, size and signals, scored for fit and delivered as a refreshable list.

Similar CompaniesTechnographicsScoringLists
ONE MISSION · EVIDENCE ATTACHED
PROSPECTING

Buying committee at fifty target accounts

Executive sponsor, functional head and operator identified at each account, emails verified, loaded into Lemlist as a paused sequence.

People SearchEmail VerificationPersonalizationLemlist
ONE MISSION · EVIDENCE ATTACHED

Three of a hundred. The full playbook library ships in every workspace, and anything you can describe becomes a mission.

GOVERNED AUTONOMY

Safe enough to actually turn on.

⟨ CONTROL PLANE ⟩ENFORCED AT RUNTIME · NOT ADVISORY

Research runs, writes wait

Identifying, enriching and verifying run inside the credit ceiling with no gate. A push into the CRM or a sequence tool is staged for a person to approve exactly as previewed.

Suppression is applied before delivery

Customers, open opportunities, competitors and anyone on the workspace suppression list are removed before a list leaves the platform.

Evidence on every row

The signal, the source capability and the verification status ride with each contact, so a rep can see why the account is on the list and how sure the data is.

Licensed data only

People data comes from licensed providers. The agents never scrape member networks or send messages in your name.

FAQ

Questions, answered.

What does data infrastructure for prospecting mean?

The layer that turns an ideal customer profile into a verified, scored prospect list on demand: company identification from signals, people discovery, contact finding and verification, fit scoring, deduplication and delivery into your CRM or sequence tool, run by autonomous agents rather than assembled by hand.

Which signals can qualify an account?

Hiring for specific roles, funding rounds, technology adoption or replacement, buying-intent topics, news such as launches, expansions and partnerships, leadership changes and similarity to your best customers. Any of them can seed a list or be attached to rows as the why-now.

How are contacts verified?

Emails are found through a waterfall of licensed sources and checked by a verifier before the row counts; risky and catch-all addresses are held aside and labeled. Direct phones are found where a licensed source has one. A lookup that finds nothing costs nothing.

Where does the list end up?

In a persistent list you can refresh and export, and, after a one-click approval, in HubSpot, Pipedrive or Attio as contacts and companies, in Lemlist or Instantly as a paused campaign, or in a Google Sheet. The console, the REST API, the MCP server and the CLI all read the same list.

How does it know my ICP?

Onboarding drafts an ICP from your website, you confirm or edit it in Settings, and every discovery, search and scoring step uses it by default. A mission can override any field in plain language for a one-off list.

Will it send emails for me?

No. The agents write first touches from each row’s evidence and load them into your outreach tool as drafts or paused sequences; sending stays with your team and your tools.

How much does a prospect list cost?

A verified contact is a few credits; company identification and enrichment are a few credits per row; scoring, deduplication and exports are free. Every rate shows in the console before the work runs and misses on contact finding are free.

Can my own AI agent use this?

Yes. Every capability is a tool on the REST API, the MCP server and the CLI, so an outbound agent you already run can ask for the twenty best-fit accounts from a list as JSON, with signals and verified contacts attached.

⟨ DEPLOY ASTROFABRIC ⟩

Give prospecting its infrastructure.

Describe who you sell to. The first verified, scored prospect list lands in minutes, and the next one refreshes itself.