Domain Intelligence Lookup

Domain Intelligence Lookup is a domain intelligence lookup that inspects one domain and returns one combined report of 25 Dataset fields. DNS, registry registration, live TLS, email policy, DNSSEC, subdomains, IP networks and archived history arrive as one row, and every section carries the source it came from and whether that source finished.

• One input, 25 fields. The run takes a domain or an HTTP(S) URL and returns dns, registration, tls, email, certificate_history, subdomains, website, networks, history, archive, tld_pricing, history_summary, infrastructure, mail_analysis, dnssec, tls_analysis, mail_tls, summary, sources, report_url, external_sections, domain, registered_domain, processor and processed_at.
• Every section states its own coverage. summary lists collected counts and the checks that ran out of clock, sources reports each discovery source's completion status, and pagination_complete marks a source whose pages were still arriving.
• Cryptographic checks, not flag reads. dnssec validates signatures and the DNSKEY/DS chain against IANA root trust anchors locally, tls_analysis records which TLS versions and cipher suites the host actually negotiated, and mail_tls matches SMTP STARTTLS certificates to DNSSEC-authenticated TLSA records.
• Measured on named domains. A run on example.com returned 19 DNS answers, 7 Certificate Transparency certificates, 31,114 discovered subdomains and 25,644 historical observations in 259 seconds; a run on cloudflare.com returned 59 DNS answers, 301 certificates and 32,147 historical observations in 258 seconds.

One domain costs $0.06 — a $0.05 saved report plus the $0.01 Actor Start.

Why Choose Domain Intelligence Lookup

One run answers the questions that normally take six tools. Registration age and expiry, certificate validity and expiry, SPF and DMARC correctness, DNSSEC trust, negotiated TLS ciphers, discovered subdomains, hosting provider and archived history all land in one row, keyed to the same domain and the same timestamp.

Findings carry their provenance. Each record names the route that produced it, so a subdomain found in a certificate log is distinguishable from one that resolves in DNS today, and a resolver's authenticated-data assertion is distinguishable from the local signature validation in dnssec.

Outcomes are explicit words, not blanks. check_status returns found, registered, not_registered, no_records or unknown, so a query that reached the registry and found nothing is separable from one that ran out of clock — the distinction that decides whether a result is safe to act on.

Registration comes from RDAP. Registration dates, registrar, status values, nameservers and entities are read from the registry's RDAP service, whose JSON structures and domain status vocabulary are specified in RFC 9083; registry WHOIS text is retained for suffixes that answer on port 43.

The full report is always retrievable. Collections too large for a Dataset item are written to a downloadable JSON report and named in external_sections, with report_url holding the link.

Quick Start Guide

Step 1: Configure

Open the Actor's input form. The one input, domain, is prefilled with a working example, so a first run needs no editing. Replace example.com with the domain you want, or paste a full URL such as https://www.python.org/docs/ — the host www.python.org is checked for DNS and TLS, while the registered domain python.org is checked for registration and mail policy.

Step 2: Run

Press Start. Collection runs on a four-minute budget and then saves the report. Progress appears in the log about every 15 seconds, and an interim combined report is written to the DOMAIN-REPORT key in the run's Key-value store about every 30 seconds — the first save on the measured example.com run landed at 31 seconds. An interim report carries summary.status: collecting.

Step 3: Collect

The run finishes with one row in the default Dataset. Read summary first for the collected counts and the checks that ran out of clock, then the section you came for. Export as JSON to keep the nested collections intact, and follow report_url when external_sections is populated.

Input Parameters

One required input controls the entire run.

Parameter	Type	Required	Description	Example
domain	string	Yes	Domain or HTTP(S) URL to inspect. The host is checked for DNS and TLS; its registered domain is checked for registration, mail policies and related records. International names are normalized with IDNA and the public suffix list.	example.com

{
  "domain": "example.com"
}

Output Data Schema

One run produces one Dataset row holding the complete report; the collections inside it are nested arrays and objects rather than separate rows.

Field	Type	What it holds
domain	string	Normalized input host inspected for DNS, TLS and website information.
registered_domain	string	Public-suffix based registered domain used for registration and related observations.
report_url	string	Complete JSON report download when large collections exceed the Dataset item size ceiling.
summary	object	Counts of collected facts and names of checks that could not be completed.
registration	object	Domain registration dates, registrar, nameservers, status and registration evidence.
tls	object	Certificate and trust observations from the inspected host.
tls_analysis	object	TLS protocol and cipher negotiation probes with per-attempt outcomes and coverage.
dns	array	DNS answers and explicit resolver outcomes, with record type, subject, TTL and source.
dnssec	object	Local DNSSEC signature and trust-chain validation with explicit indeterminate outcomes.
email	array	SPF, DMARC, MTA-STS, TLS-RPT and BIMI records with parsed policy fields.
mail_analysis	object	SPF recursive validation and DMARC reporting authorization with DNS query evidence.
mail_tls	object	SMTP STARTTLS and DNSSEC-authenticated TLSA certificate associations.
website	object	Page metadata, links, response policy headers, redirects and public website documents.
networks	array	IP allocation, routed prefix and ASN, plus source-reported service observations on each IP.
infrastructure	object	Evidence-based IP and CNAME provider associations from a bundled provider dataset.
subdomains	array	Deduplicated discovered hostnames with source observations and DNS verification status.
certificate_history	array	Certificate Transparency observations with identities, names, validity and source.
history_summary	object	Dates, distinct infrastructure and changes within collected historical observations only.
history	array	Domain-scoped URL and scan observations, archive captures and latest-crawl records with source completion status.
archive	object	Available Wayback snapshot with capture time and archive URL.
tld_pricing	object	Registrar-published standard registration, renewal and transfer prices for the domain suffix.
sources	array	Passive hostname sources and their observed coverage and completion status.
external_sections	array	Section names retained in the complete JSON report and omitted from the size-bounded table item.
processor	string	Apify Actor URL that processed the record.
processed_at	string	UTC timestamp when the record was processed.

Values a source did not publish stay empty, and each check records the outcome word that explains why. Export as JSON, JSONL, CSV, XLSX, XML or RSS from the Dataset; JSON keeps the nested collections whole.

The item below is heavily abbreviated — every array is cut to a single element. The measured example.com run carried 19 entries in dns, 7 in certificate_history and 31,114 in subdomains.

{
  "domain": "example.com",
  "registered_domain": "example.com",
  "summary": {"status": "complete", "elapsed_seconds": 259.2, "collected": {"dns": 19, "certificate_history": 7, "subdomains": 31114}},
  "registration": {"registrar": "RESERVED-Internet Assigned Numbers Authority", "registered_at": "1995-08-14T04:00:00Z", "expires_at": "2026-08-13T04:00:00Z", "registry_status": ["client delete prohibited"]},
  "tls": {"tls_valid": true, "tls_issuer": "DigiCert Inc", "tls_not_after": "2026-01-15T23:59:59Z"},
  "dns": [{"dns_type": "A", "value": "23.192.228.84", "ttl": 300, "dns_authenticated": true}],
  "email": [{"policy_type": "SPF", "policy_terms": ["-all"], "check_status": "found"}],
  "dnssec": {"chain": "root -> com -> example.com", "check_status": "found"},
  "subdomains": [{"domain": "www.example.com", "source": "certificate_transparency", "dns_status": "found"}],
  "tld_pricing": {"suffix": "com", "currency": "USD", "price_registration": 9.13},
  "report_url": "https://api.apify.com/v2/key-value-stores/STORE_ID/records/DOMAIN-REPORT",
  "external_sections": ["subdomains"],
  "processor": "https://apify.com/agentx/domain-intelligence-lookup",
  "processed_at": "2026-09-08T09:41:02Z"
}

Integration Examples

Call the Actor as agentx/domain-intelligence-lookup from the Apify API, the official clients, Make.com, n8n or an MCP client, using the asynchronous run flow in every case.

Actor ID

agentx/domain-intelligence-lookup

This Actor is reached by its agentx/domain-intelligence-lookup name form, which the Apify API accepts anywhere a numeric Actor ID is accepted. The numeric ID is published on the Actor's API tab at first publication and is usable interchangeably from then on.

HTTP

Start the run, poll it, then read the Dataset. A domain report takes about four minutes, so the asynchronous flow is the path to use.

$curl -X POST "https://api.apify.com/v2/acts/agentx~domain-intelligence-lookup/runs?token=APIFY_TOKEN" -H "Content-Type: application/json" -d "{\"domain\": \"example.com\"}"

The response carries data.id and data.defaultDatasetId. Poll the run until data.status reads SUCCEEDED, or register an ACTOR.RUN.SUCCEEDED webhook and skip polling:

curl "https://api.apify.com/v2/actor-runs/RUN_ID?token=APIFY_TOKEN"
curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=APIFY_TOKEN&format=json"

Python

from apify_client import ApifyClient

client = ApifyClient("APIFY_TOKEN")
run = client.actor("agentx/domain-intelligence-lookup").call(
    run_input={"domain": "example.com"}
)
report = next(iter(client.dataset(run["defaultDatasetId"]).iterate_items()))
print(report["registration"]["expires_at"], report["tls"]["tls_not_after"])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'APIFY_TOKEN' });
const run = await client.actor('agentx/domain-intelligence-lookup').call({
  domain: 'example.com',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].summary, items[0].dnssec);

Make.com

1. Add the Apify module Run an Actor and connect it with an Apify API token.
2. In the Actor field, paste agentx/domain-intelligence-lookup.
3. Set the input body to {"domain": "example.com"} and enable Wait for the Actor run to finish.
4. Add Get Dataset Items, map the run's defaultDatasetId into it, and read registration, tls and dnssec from the returned item.

n8n

1. Add the Apify node with the Run Actor operation and an Apify API credential.
2. Paste agentx/domain-intelligence-lookup into the Actor field.
3. Set the JSON input to {"domain": "example.com"} and turn on Wait for finish.
4. Chain the Get Dataset Items operation onto the run's defaultDatasetId to receive the report item.

MCP

Add https://mcp.apify.com as an MCP server in Claude, ChatGPT or any MCP client, then ask it to run agentx/domain-intelligence-lookup with {"domain": "example.com"}. The client starts the run, waits for it, and reads the Dataset item back.

Pricing

A saved report costs $0.05 on the FREE tier and the Actor Start costs $0.01, so the smallest useful run — one domain — totals $0.06. The run uses 1 GB of memory and the Actor Start bills one event per GB with a one-event minimum, so a run bills exactly one $0.01 start.

Event	FREE	BRONZE	SILVER	GOLD / PLATINUM / DIAMOND
Saved report	$0.05000	$0.04500	$0.04000	$0.03750
Actor Start	$0.01	$0.01	$0.01	$0.01

One domain on the FREE tier is $0.06. Ten domains, run one per Actor run, are $0.60 on the FREE tier and $0.475 on GOLD, because both the report price and the per-run start apply to each domain. A completed lookup saves one Dataset row and charges one report event, including when a source ran out of clock and its section is marked partial; the interim saves to the Key-value store are free.

Prices can change — the current published figures are on the Actor's pricing tab, and Apify explains the pay-per-event model in its Store pricing documentation.

Use Cases

Certificate and registration expiry monitoring. Schedule the Actor against a domain and read tls.tls_not_after with the certificate age in tls, alongside registration.expires_at and the days-until-expiry in the nested registration analysis, to alert before either lapses.

Email deliverability review. Read email for the published SPF, DMARC, MTA-STS, TLS-RPT and BIMI records, then mail_analysis for the recursive SPF mechanism count and the DMARC external-report authorization check, and mail_tls for the SMTP STARTTLS handshakes and TLSA associations that decide whether inbound mail is transport-protected.

Attack-surface inventory. Combine subdomains with each entry's dns_status to separate hostnames that resolve today from names seen only in certificate logs, then read networks for the IP allocation, routed prefix and ASN, and infrastructure for the CDN, cloud and WAF provider associations behind those addresses.

Acquisition and vendor due diligence. Read registration for registrar, age and the operations the published locks restrict, history_summary for the distinct IPs, issuers and technologies observed across collected samples, and tld_pricing for the suffix's standard registration and renewal rate.

Migration verification. Run the report before and after a DNS or hosting change and compare dns, networks, infrastructure and tls between the two rows, using processed_at on each to place them in time.

Agent tool call. Point an MCP-connected assistant at the Actor and let it fetch a domain's registration, certificate and mail posture in one call, with check_status and summary giving it explicit outcome words to reason over.

Alternatives

By hand. dig, whois, openssl s_client and a browser answer any single question here, and for one domain checked once that is a perfectly good afternoon. The manual path stays manual: each tool has its own output shape, the certificate-log and archive sources need their own queries, and the results arrive unjoined and undated.

The sources' own official services. Registries publish RDAP directly and the Certificate Transparency ecosystem publishes its logs openly, so both are free to query and authoritative — they are better than any wrapper when one authoritative record is what you need. Registrars publish their own suffix price lists, such as Porkbun's domain pricing, and the Internet Archive and Common Crawl publish their own archives. Each answers its own slice; this Actor's contribution is running all of them against the same domain on one clock and returning the results joined, dated and labelled with their coverage.

Domain-intelligence SaaS. The commercial category sells per-lookup credits against a subscription, with historical data, brand monitoring and bulk export usually billed as separate products. That model suits a team querying continuously at volume. This Actor bills per saved report with no subscription and no minimum, which suits a workflow that inspects domains occasionally or on a trigger.

Limits and Troubleshooting

• A section reads partial or its pagination_complete is false. Collection runs on a four-minute budget, and a domain with a large historical library or certificate log has more pages than that budget covers. Everything already collected is retained and the source records where it stopped — re-run for a fresh sample, or read sources to see which source carried the remaining pages.
• A check reports unknown. The query finished without establishing an answer, which is different from no_records, where the query succeeded and the domain genuinely publishes nothing. Compare the two before treating a domain as unconfigured.
• dnssec reports an indeterminate outcome. A domain with missing signatures or delegation records validates to indeterminate rather than to secure or bogus, and the section carries the evidence for that outcome so the gap is visible.
• A subdomain in the list has no current addresses. Certificate logs and historical sources record names that existed when they were observed. dns_status and addresses on each entry record whether that hostname resolves now.
• infrastructure names a provider you did not expect. Matches are provider associations derived from the observed IP addresses and CNAME suffixes, which is evidence that traffic passes through that provider's ranges rather than a statement about the domain's contracts.
• The report item looks shorter than expected. Collections above the Dataset item size ceiling move into the downloadable report; external_sections names them and report_url retrieves the complete JSON.
• tld_pricing differs from a checkout quote. The figures are the registrar's published standard rate for the suffix, and individual premium names carry their own quotes.

Report a reproducible problem on the Actor's Issues tab with the run ID, the exact domain value, and the section and outcome word you saw.

Trust and Reliability

• Runs on Apify's platform infrastructure, with the run log, input, Dataset and Key-value store retained under the account that started the run.
• Billing is pay-per-event with tier discounts: one Actor Start and one saved report per completed run, visible on the run's billing breakdown.
• The Dataset contract is published: 25 documented fields, with types and descriptions on the Actor's Output tab, so an integration can be written against the schema before the first run.
• Every value is a source value or an arithmetic result on one. Dates, counts and elapsed intervals are computed from collected observations, and each check publishes the evidence and outcome word behind its result.
• Partial coverage is reported rather than smoothed over. summary names the checks that ran out of clock and sources reports each source's completion status, so a thin section is visible in the data instead of being inferred from its size.

Legal and Compliance

Data scope. The Actor reads publicly published records about a domain: DNS answers, registry RDAP and WHOIS responses, the certificate a host presents, public certificate-transparency logs, published email policy records, public website documents, IP allocation records and public archives. It sends no email and stores no credentials.

Privacy. Registry records may contain contact details that a registrant chose to publish. Handle anything personal in registration under the privacy law that applies to you, keep it only as long as your purpose requires, and treat archived and historical observations as dated snapshots of what a source published at the time.

Platform terms. Use of this Actor is subject to the Apify Terms of Service and to the terms of the sources it queries. Use the output for legitimate purposes such as security review, asset inventory, deliverability work and due diligence, and follow the applicable law in your jurisdiction.

Frequently Asked Questions

How do i check a domain ssl certificate expiry date?

Read tls.tls_not_after, which holds the end of the presented certificate's validity window, alongside the certificate age and days-until-expiry in the same section. tls_valid records whether the certificate verified against the public trust store and tls_error carries a stable reason when a certificate was rejected, so an expiring certificate and an already-invalid one are distinguishable in the same row.

Can I run a whois dns and ssl lookup without an api key?

Yes — a run needs an Apify account and the domain value, and nothing else. Registration comes from the registry's RDAP service with WHOIS text retained for suffixes that answer on port 43, DNS answers come from resolvers, and the certificate is read from the host directly, so no third-party API key is entered anywhere in the input.

Is there a free domain intelligence API?

Apify's free tier includes monthly platform credit, and runs on that tier draw from it, so a first report costs nothing beyond the credit it consumes. Beyond the free tier the Actor bills $0.05 per saved report plus a $0.01 Actor Start, with tier discounts down to $0.0375 per report on GOLD and above.

Can I schedule runs to monitor a domain over time?

Yes — add the Actor to an Apify Schedule with the input you want and it runs on that cadence. Each run appends a row carrying processed_at, so comparing consecutive rows on dns, networks, tls and registration gives a change history, and history_summary reports the changes already visible between dated observations inside a single run.

What does one run return, and how long does it take?

One run returns one Dataset row with 25 fields covering the whole report. Collection runs on a four-minute budget followed by report saving: the measured example.com run finished in 259 seconds and the cloudflare.com run in 258 seconds, with an interim report saved to the Key-value store from about 31 seconds onward.

How many domains can one run inspect?

One run inspects one domain and returns its complete report. To cover a list, start one run per domain — through a Schedule, a loop in the API client, or a Make.com or n8n iterator — and each run bills its own $0.05 report and $0.01 start.

What is the difference between unknown, no_records and not_registered?

not_registered means the registry returned an explicit absence response for the name. no_records means the query succeeded and the domain publishes nothing of that kind. unknown means the check finished without establishing its answer. The three are distinct words in check_status precisely so a missing answer is read as what it is.

Are the email policy checks based on the published standards?

Yes. email returns the published SPF, DMARC, MTA-STS, TLS-RPT and default-selector BIMI records with their parsed tags, and the MTA-STS policy is retrieved the way RFC 8461 specifies — announced by a DNS TXT record and served over HTTPS from the policy host's well-known path. mail_analysis adds the recursive SPF lookup count and the DMARC external-reporting authorization check.

Related AgentX Actors

AgentX publishes 82 Actors on the Apify Store; the three closest to this one come first, then the full catalog by category.

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E-Commerce and Retail

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Real Estate

• All Property Scraper — Property listings scraper for 38 marketplaces across 23 countries
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Support and Community

Ask about domain reports, certificate and registration fields, DNSSEC and mail-policy outcomes in the AgentX community on Telegram; for a reproducible bug, open an Issue with the run ID and the exact input.

AgentX is an Arcyton brand — arcyton.com.

Last Updated: September 8, 2026