Jerry API integration & Open Insurance / OpenData alignment

PriceProtect™ quote ingestion API

Capture every insurer response object—including liability splits, comprehensive flags, and multi-vehicle bundles—so product analysts can diff Jerry’s Jerry insurance quote API integration outputs against carrier ACORD feeds without retyping spreadsheets.

Policy document & ID sync

Mirror DEC pages, ID cards, and billing notices into object storage with hashed filenames, then push canonical policy numbers to Snowflake for month-end close where premium accruals must tie to bank debits.

GarageGuard™ repair estimate stream

Structured labor hours, parts lists, and shop references become inputs for warranty analytics teams asking whether dealership invoices exceed regional medians pulled from Jerry’s repair dataset narrative.

DriveShield™ telemetry bridge

Trip start/end timestamps, score distributions, and coaching tips convert into Parquet partitions so actuaries can correlate driving score telemetry export OpenData windows with claims severity without exposing raw GPS traces beyond what the user authorized.

Maintenance & recall webhook fan-out

Scheduled service intervals and OEM recall bulletins trigger ITSM tickets in ServiceNow when VIN-level due dates cross thresholds, keeping fleet operations aligned with manufacturer mandates.

Agent conversation audit trail

Chat transcripts and call disposition codes append to CRM timelines so licensed producers meet state recordkeeping duties while customer success sees the same narrative underwriting assistants used.

Scenario A — Premium finance reconciliation

Context: A regional lender finances policies sold through Jerry and must match funded amounts to carrier confirmations.

Data: Policy numbers, effective dates, financed premium totals, and carrier NAIC codes pulled whenever Jerry surfaces a bind confirmation screen.

OpenFinance mapping: Treat each bind event like a payment initiation record in open banking: immutable event id, counterparty (carrier), amount, currency, and settlement status for downstream ACH files.

Scenario B — Corporate fleet safety scoreboard

Context: Risk managers enroll drivers who already track trips inside DriveShield™.

Data: Trip distance buckets, speeding incidents, phone distraction flags (if exposed), weekly score trend arrays.

OpenData mapping: Publish anonymized aggregates to an internal API gateway so HRIS systems never store raw GPS, only derived KPIs analogous to aggregated PSD2 payment statistics.

Scenario C — Warranty analytics against repair benchmarks

Context: OEM captive finance wants to know if dealer repair quotes exceed Jerry’s median estimates for the same CPT-style labor ops.

Data: Estimate breakdowns from GarageGuard™, including labor hours, parts price bands, and shop geography.

OpenFinance mapping: Align estimate components with loan loss reserves the same way open-data rent indices inform mortgage stress tests—external, frequently refreshed benchmarks.

Scenario D — Insurance ops QA for licensed producers

Context: Compliance officers must prove that coverage advice matches recorded consumer disclosures.

Data: Chat transcripts, call disposition codes, coverage selection deltas prior to bind.

OpenData mapping: Stream conversation metadata into an immutable log store (hash-chained JSON) similar to audit trails demanded in card network dispute evidence packages.

Scenario E — Smart home bundle monitoring

Context: Insurtech partners cross-sell renters policies when auto shoppers toggle bundle savings inside Jerry.

Data: Bundle discount percentages, dwelling address tokens, peril coverage selections.

OpenFinance mapping: Feed structured bundle events into a CDP where marketing automation respects GLBA opt-out flags before any outbound campaign fires.

Snippet 1 — Session establishment (pseudocode)

POST /integrations/jerry/v1/session
Content-Type: application/json
X-Request-Id: 2f7c9b1a-441d-4c8b-9d2a-0d5f88c0a901

{
  "user_external_id": "crm-88421",
  "device_profile": {
    "platform": "android",
    "package": "com.jerrym",
    "app_version": "3.42.1"
  },
  "scopes": ["quotes.read", "policies.read", "trips.read"]
}

201 Created
{
  "session_id": "ses_9QbL",
  "expires_at": "2026-04-20T18:12:00Z",
  "mfa_hint": "sms_last4:3021"
}

Errors return 401 for credential mismatch, 423 when Jerry requires step-up verification, and 429 with Retry-After when rate limits protect carrier APIs.

Snippet 2 — Quote export with pagination

GET /integrations/jerry/v1/quotes?vehicle_id=vhc_18FA&status=active&page[cursor]=eyJpIjoiMjAyNi0wNC0xNSJ9
Authorization: Bearer ses_9QbL

200 OK
{
  "data": [
    {
      "quote_id": "qt_771",
      "carrier": "carrier_naic_#####",
      "premium_6mo": 612.4,
      "coverages": {
        "bi_per_incident": 100000,
        "pd": 50000,
        "comp_deductible": 500
      },
      "bundled_renters": true
    }
  ],
  "meta": {
    "next_cursor": "eyJpIjoiMjAyNi0wNC0xNiJ9"
  }
}

Snippet 3 — Trip webhook receiver

POST https://customer.example.com/hooks/jerry/trip.completed
Jerry-Signature: t=1713628800,v1=a13f...
Content-Type: application/json

{
  "event": "trip.completed",
  "driver_ref": "hash:9f3c",
  "trip": {
    "started_at": "2026-04-19T22:41:00Z",
    "ended_at": "2026-04-19T22:58:00Z",
    "score": 86,
    "hard_brakes": 0
  }
}

// Handler verifies HMAC, persists to lakehouse,
// returns 204 or 400 with { "error": "stale_timestamp" }

Gabi

Gabi stores multi-carrier home and auto quotes; integration teams often unify Gabi exports with Jerry bind confirmations to detect when consumers accept policies outside the original funnel.

The Zebra

High-volume quote comparisons from The Zebra feed marketing mix models; pairing them with Jerry trip telemetry explains conversion deltas for high-mileage segments.

Insurify

Insurify’s rapid questionnaire flows produce structured risk attributes that complement Jerry’s maintenance insights when building cross-app propensity scores.

Compare.com

Real-time comparison marketplaces like Compare.com generate frequent rate refreshes; warehouses that ingest both sources reduce stale-pricing complaints in customer care portals.

QuoteWizard

QuoteWizard leads often include contact metadata used by agencies; merging those leads with Jerry chat transcripts clarifies which prospects already received disclosures.

EverQuote

EverQuote distribution partners care about speed-to-lead metrics; combining EverQuote timestamps with Jerry automatic rate checks shows when shoppers re-engage after silent periods.

Policygenius

Policygenius adds life and disability contexts; exporting its policy summaries next to Jerry auto bind data supports holistic net-worth dashboards for advisory firms.

NerdWallet

NerdWallet’s editorial rate tables and educational content produce benchmark narratives that align with Jerry’s methodology pages for governance teams validating external indices.

Deliverables checklist

• OpenAPI description for each stabilized endpoint.
• Protocol trace documenting TLS pinning assumptions, cookie jars, and refresh cadence.
• Runnable Python or Node.js workers for login, quote export, and webhook verification.
• Postman collections plus negative tests for throttling and MFA branches.
• Privacy memorandum referencing GLBA, state DOI bulletins, and CCPA/CPRA triggers.

Engagement economics

Source code delivery from $300 includes the first production-ready module and documentation; pay after delivery once your security team signs off. Pay-per-call access suits pilots that need hosted endpoints without standing up ingestion clusters immediately.

Quality gates

We rehearse carrier edge cases—multi-state garaging, multi-driver exclusions, bundled renters discounts—so JSON outputs remain valid when Jerry updates rating factors after regulatory filings.

About our studio

We specialize in authorized mobile interface analysis, insurer data normalization, and OpenFinance-style delivery patterns for teams that cannot wait for public SDKs. Engineers on the bench have shipped telematics ingestion, broker CRM bridges, and PCI-scoped payment orchestration.

• Android and iOS packet tracing with reproducible build matrices.
• Data contracts compatible with Snowflake, BigQuery, and Databricks.
• Runbooks for incident response when carrier APIs change mid-renewal.
• Collaboration with your legal team on consent language and DPIAs.

Contact

Share your target app (Jerry) plus concrete datasets—quotes, policies, trips, maintenance—and we respond with a milestone plan.

Contact page

Engagement workflow

1. Discovery call covering carriers, states, and compliance constraints.
2. Protocol analysis sprint with staged PCAP or client-side instrumentation.
3. Engineering build focusing on the highest-value dataset first (usually quotes or policies).
4. User acceptance testing with parallel carrier portal screenshots for audit evidence.
5. Handover: code, docs, and runbooks; optional hosted pay-per-call cutover.

FAQ

Does Jerry publish a partner API?

How do you handle MFA?

Can we exclude marketing data?