Skip to content
Matterwireby Crawlify

Platform

One engine that traces, verifies, and correlates regulatory change

Matterwire captures regulatory change across 5 jurisdictions, verifies it at the field level, correlates it against the systems you already run, and delivers it with its provenance intact.

Book a DemoSee Coverage

99.5% field-level accuracy · Source URL, timestamp and verifier ID on every record · REST API and signed webhooks

Traced record

Proposed amendment to 40 CFR Part 60

Verified
Jurisdiction
US Federal / EPA
Change type
Amendment, comment period open
Source URLThe address this record was read from. Stored in full, with a checksum of the response, so the page cannot be swapped underneath the record.
https://www.federalregister.gov/documents/2026/07/14/2026-14882
CapturedWhen the source was fetched, in ISO 8601 with a timezone offset. Written at fetch time, not at publish time.
Verifier IDThe person who checked these fields against the source text. Present on every record that went to human review.
VER-0148
ConfidenceHow certain the classifier was, at the field level. Records below the release threshold route to a human verifier first.
0.994
Effective

Joined signals

  • Watchlist 'Clean Air'
  • Pipeline 'EHS-Compliance'
  • 3 related state bills
Architecture

Source to output, with nothing hidden in between.

Six stages. The two shaded ones are where Matterwire differs from a monitoring feed: verification happens before release, and correlation happens before delivery.

  1. 01SourcesRegisters, dockets, official journals, agency portals, filings5 jurisdictions
  2. 02CaptureFetch, checksum, timestamp. The source URL is stored before parsingmonitor/*
  3. 03Verified recordsAI extraction and classification, with a confidence score per fieldhuman review below threshold
  4. 04Correlation engineJoins watchlists, related changes across borders, and your pipelinescomposite events
  5. 05DeliverySlack, Salesforce, HubSpot, Snowflake, webhooks, REST APIsigned, idempotent
  6. 06Audit trailEvery event with an actor and a timestamp, exportable on demandappend-only
Correlation engine

Related changes arrive as one event.

The engine joins a verified change against your watchlists, against related changes in other jurisdictions, and against the other data pipelines you run. What reaches you is a composite signal with every source attached.

How one regulatory change becomes one composite signalA verified regulatory change joins a watchlist match and a pipeline match. The three resolve into a single composite signal delivered to your systems.Verified changeEPA, 40 CFR Part 60VER-0148 · 0.994Watchlist matchClean AirPipeline matchEHS-Compliance1 signalDelivered

Watchlist joins

Your own terms, instruments and obligations, matched against every incoming record.

Cross-border joins

An EU delegated act and the UK consultation that responds to it resolve to one event.

Pipeline joins

Joins against your warehouse and CRM, so a change lands beside your own data.

Verified records

Every field checked, and signed by whoever checked it.

AI extracts and classifies each change and assigns a confidence score. Records below the release threshold route to a human verifier who checks the fields against the source text. Verified accuracy runs at 99.5% at the field level.

  1. 1CaptureThe monitor fetches the source document and stores the response with a checksum and a timestamp. The source URL is recorded before anything is read.
  2. 2ClassifyAI extracts the fields and classifies the change: new rule, amendment, comment period, effective date. Each classification carries a confidence score.
  3. 3ReviewRecords below the confidence threshold route to a human verifier. The verifier checks each field against the source text and signs the record with their ID.
  4. 4PublishThe record is released with its source URL, capture timestamp, verifier ID and final confidence score attached. Field-level accuracy runs at 99.5%.

Audit trail, record rec_01J8Q4M2X

5 events

  1. captured

    Fetched from federalregister.gov, response 200, checksum stored

    monitor/us-federal

  2. classified

    Change type "amendment", confidence 0.912, below review threshold

    detect/v4

  3. verified

    Fields checked against source text, confidence raised to 0.994

    VER-0148

  4. correlated

    Joined watchlist 'Clean Air' and pipeline 'EHS-Compliance'

    correlate/v2

  5. delivered

    POST to customer endpoint, 202 accepted, delivery id dlv_8f21c

    act/webhook

The trail is written as the pipeline runs, not assembled before an audit.

Integrations

Universal connectors.

Verified records reach the systems that own the response. Every surface carries the full record, including the provenance fields.

  • SlackVerified changes routed to a channel, with the source URL attached.
  • SalesforceWrites to the object you nominate, keyed to your own record IDs.
  • HubSpotChange events on the contact, company or custom object timeline.
  • SnowflakeScheduled loads into your warehouse, one row per verified record.
  • WebhooksSigned POST the moment a record clears verification.
  • REST APICursor-paginated reads, scoped tokens, full record schema.
API and webhooks

The payload is the record.

There is no lossy summary between verification and delivery. Signed webhooks fire the moment a record clears verification, and the REST API offers cursor-paginated reads with scoped tokens for backfill and reconciliation.

webhook payload
POST https://your-endpoint.example/matterwire
X-Matterwire-Signature: sha256=9f2b...c41d
Content-Type: application/json

{
  "event": "record.verified",
  "record_id": "rec_01J8Q4M2X",
  "jurisdiction": "US-FED",
  "issuing_body": "EPA",
  "change_type": "amendment",
  "title": "Proposed amendment to 40 CFR Part 60",
  "source_url": "https://www.federalregister.gov/documents/2026/07/14/2026-14882",
  "captured_at": "2026-07-14T09:12:04-04:00",
  "verifier_id": "VER-0148",
  "confidence": 0.994,
  "effective_date": "2026-11-01",
  "joined": [
    { "type": "watchlist", "name": "Clean Air" },
    { "type": "pipeline", "name": "EHS-Compliance" }
  ]
}
Multi-jurisdiction coverage

Five jurisdictions, one record schema.

A French délibération and a US proposed rule carry identical fields. One watchlist covers both, and one export covers both.

  • US-FEDUnited States, federal
    • Bills
    • Proposed rules
    • Final rules
    • Comment periods
  • US-STUnited States, all 50 states
    • Bills
    • Amendments
    • Committee actions
    • State rules
  • FRFrance
    • Projets et propositions de loi
    • Décrets
    • Arrêtés
    • Délibérations
  • EUEuropean Union
    • Regulations
    • Directives
    • Delegated acts
    • Consultations
  • GBUnited Kingdom
    • Bills
    • Statutory instruments
    • Policy statements
    • Consultations
See every source per jurisdiction

Same schema, any jurisdiction

Traced record

Proposed amendment to 40 CFR Part 60

Verified
Jurisdiction
US Federal / EPA
Change type
Amendment, comment period open
Source URLThe address this record was read from. Stored in full, with a checksum of the response, so the page cannot be swapped underneath the record.
https://www.federalregister.gov/documents/2026/07/14/2026-14882
CapturedWhen the source was fetched, in ISO 8601 with a timezone offset. Written at fetch time, not at publish time.
Verifier IDThe person who checked these fields against the source text. Present on every record that went to human review.
VER-0148
ConfidenceHow certain the classifier was, at the field level. Records below the release threshold route to a human verifier first.
0.994
Effective

Joined signals

  • Watchlist 'Clean Air'
  • Pipeline 'EHS-Compliance'
  • 3 related state bills
How it works

Four verbs. One engine.

The same pipeline that runs the Crawlify parent engine, tuned to regulatory sources.

  1. Monitor

    The engine watches regulatory sources across US federal, 50 states, France, the EU, and the UK. Registers, dockets, official journals, agency portals, and filings, on the cadence you set.

  2. Detect

    AI classifies every change: new rule, amendment, comment period, effective date. Each classification carries a confidence score. Low-confidence records route to human review.

  3. Correlate

    Detected changes join your watchlists and your other pipelines. Related changes surface as one event instead of scattered alerts.

  4. Act

    Changes become actions in your systems: alerts, CRM writes, webhook triggers, workflow starts. Source-traceable end to end.

Security and SLA

99.5% field-level accuracy, written into the contract.

The measurement runs on every plan and the confidence score is on every record. On Enterprise the commitment is contractual, with the remedy set out in the agreement. Our security posture, hosting and data handling are documented in full.

Read the SLA

See the engine on your own sources.

Book a demo and we will run your jurisdictions through the pipeline, then show the records and the trail it produced.

Book a DemoSee Coverage

No obligation. 30 minutes, on your own jurisdictions.