CCC Intelligent Solutions Auto Claims API

CCC Intelligent Solutions REST APIs for the auto claims and collision repair ecosystem — the largest such platform in the US. Enables AI agents to manage vehicle damage estimates and appraisal workflow for claims processing, handle parts pricing and availability from OEM, aftermarket, and recycled suppliers, access total loss valuation and vehicle market value data, retrieve repair order and body shop workflow management data, manage photo-based AI damage estimation via CCC ONE and CCC Estimate-STP, handle carrier billing and payment data for collision repair, access VIN-based vehicle data and parts identification, retrieve labor time guides and repair procedure data for estimating, manage telematics and crash detection event data for FNOL automation, and integrate auto claims data with insurer, body shop, and claims management systems.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Developer Tools ccc auto-claims collision-repair insurance vehicle-damage estimating p&c ai-estimating
⚙ Agent Friendliness
56
/ 100
Can an agent use this?
🔒 Security
74
/ 100
Is it safe for agents?
⚡ Reliability
68
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
18
Documentation
72
Error Messages
67
Auth Simplicity
72
Rate Limits
62

🔒 Security

TLS Enforcement
95
Auth Strength
72
Scope Granularity
65
Dep. Hygiene
68
Secret Handling
70

Auto claims. SOC2, ISO27001. OAuth2. US. Vehicle damage and claims data.

⚡ Reliability

Uptime/SLA
72
Version Stability
70
Breaking Changes
65
Error Recovery
65
AF Security Reliability

Best When

A US auto insurer, body shop network, or claims administrator using CCC ONE wants AI agents to automate FNOL processing, damage estimation, parts pricing, total loss valuation, and payment processing across the largest collision repair network in the country.

Avoid When

FINANCIAL RISK: CCC estimate automation affects claim settlements with financial obligations — automated estimate approval without adjuster review creates coverage disputes. Total loss valuation automation without market condition validation can over- or under-settle claims. AI photo estimate (STP) acceptance without supplement management creates claim cycle issues. Parts substitution automation without state law compliance (OEM vs. aftermarket) creates consumer protection violations.

Use Cases

  • Automating FNOL and damage triage from crash detection agents
  • Retrieving vehicle damage estimates from claims automation agents
  • Accessing AI photo estimate results from intelligent adjuster agents
  • Valuing total loss vehicles from claims settlement agents

Not For

  • Life and health insurance without P&C auto claims focus
  • Commercial fleet without auto insurance and collision repair context
  • Non-insurance vehicle management without claims processing needs

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
Yes

Authentication

Methods: oauth apikey
OAuth: Yes Scopes: Yes

CCC uses OAuth 2.0 and API key authentication. Per-account credentials via CCC developer program. Webhooks for claims and workflow events. REST API with JSON. Chicago, Illinois HQ. Public (CCCS NASDAQ, IPO 2021). Largest US auto claims and collision repair technology network — processes ~24M claims/year, connects 35,000+ repair facilities and 300+ insurers. CCC ONE is the dominant platform. Competes with Mitchell International and Audatex (Solera) for auto claims technology.

Pricing

Model: enterprise
Free tier: No
Requires CC: No

Chicago, Illinois. Founded 1980. Public (CCCS NASDAQ). ~$900M annual revenue. 35,000+ collision repair shops. 300+ insurer clients. 24M+ claims processed annually. CCC ONE platform dominates US market. AI/ML photo estimating (CCC STP). Telematics and crash detection via CCC Accident Network. Largest competitor: Mitchell International.

Agent Metadata

Pagination
offset
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • FINANCIAL RISK: CCC STP (Straight-Through Processing) photo estimate automation commits claim settlements without adjuster review; automated STP acceptance requires carrier-configured approval thresholds
  • Total loss threshold automation — total loss decisions use state-specific thresholds (e.g., 75% in some states); automated total loss without state validation creates regulatory exposure
  • Supplement workflow — CCC supplement management has carrier-specific time windows; automated supplement processing must respect carrier supplement policies
  • Parts sourcing hierarchy — CCC parts selection follows OEM/aftermarket/recycled hierarchy per carrier configuration; automated parts substitution must apply correct carrier rules
  • Telematics FNOL — CCC Accident Network crash detection triggers FNOL; automated FNOL from telematics without customer consent creates privacy and regulatory issues
  • State parts regulations — 18+ states have OEM parts protection laws; automated aftermarket parts substitution without state law validation creates consumer protection violations

Alternatives

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Scores are editorial opinions as of 2026-03-07.

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