For Agents
Pull DISCO ediscovery usage datasets and review database size metrics for finance and operations reporting.
Get started with DISCO Reporting API in minutes using your preferred integration method.
# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
"jentic": {
"url": "https://api.jentic.com/mcp",
"auth": "oauth"
}
}
# Then ask your agent:
"pull DISCO data usage changes"
# → Jentic returns the GET /events tool with parameter schema, agent executes.What an agent can do with DISCO Reporting API API.
List the datasets available to the authenticated DISCO organization
Retrieve the data usage changes dataset to see how usage has shifted over a period
Inspect the metadata that describes the schema and refresh cadence of the data usage changes dataset
List the metrics catalogue available to the authenticated organization
GET STARTED
Use for: I need to retrieve the data usage changes dataset for my DISCO organization, Get the review database size metric for the current matter, List every dataset available to my DISCO account, List every metric the DISCO Reporting API exposes
Not supported: Does not handle document review, legal hold management, or production exports — use for retrieving DISCO usage datasets and metrics only.
Jentic publishes the only available OpenAPI document for DISCO Reporting API, keeping it validated and agent-ready.
The DISCO Reporting API exposes datasets and metrics from CS DISCO's ediscovery platform so legal operations teams can pull usage and consumption data into their own reporting stack. The catalogued slice covers data usage change datasets and review database size metrics, each with a metadata endpoint that describes the available fields. Authentication uses two header API keys: disco-api-key for the user identity and organization-id for tenant scoping.
Retrieve the review database size metric to track storage growth across matters
Inspect the metadata describing the review database size metric for documentation and tooling
Patterns agents use DISCO Reporting API API for, with concrete tasks.
★ Legal Ops Spend Tracking
Track DISCO consumption to manage legal operations budgets and chargebacks to matters. The agent pulls the data usage changes dataset on a schedule and writes it into a finance-friendly format so legal ops can attribute costs back to specific matters and clients. This avoids manual exports from the DISCO dashboard and gives finance a real-time view of platform spend.
Call GET /datasets/data-usage-changes for the current period and write the rows to the finance reporting warehouse with matter attribution.
Storage Growth Forecasting
Forecast DISCO review database storage growth to plan retention and budget. The agent retrieves the review database size metric on a schedule, persists the time series, and runs simple regression to predict next-quarter storage cost. This shifts ediscovery storage planning from reactive surprise to proactive forecasting tied to matter lifecycle.
Call GET /metrics/metric-reviewdb-size weekly, append to the time series, and run a 4-week moving average to project next quarter's storage.
Schema-Aware Reporting Pipeline
Build a reporting pipeline that adapts when DISCO updates its dataset schemas by inspecting metadata before each pull. The agent calls the metadata endpoints first, compares them against the previous run's schema fingerprint, and only triggers downstream transforms when columns have changed. This avoids brittle ETL jobs that break silently when DISCO ships schema updates.
Call GET /datasets/data-usage-changes/metadata, hash the column list, and short-circuit the pipeline if the hash matches the previous run.
AI Agent Legal Reporting
An AI agent supporting legal operations can answer questions like 'what was DISCO usage in May' or 'how fast is review storage growing' through Jentic. The agent searches for the right DISCO Reporting operation, loads its schema, and executes against the two header API keys stored in the vault. Sensitive matter context never leaves the vault because the agent only sees the metric values it requested.
Search Jentic for 'pull DISCO data usage changes', load the dataset operation, and execute it scoped to the user's organization.
6 endpoints — the disco reporting api exposes datasets and metrics from cs disco's ediscovery platform so legal operations teams can pull usage and consumption data into their own reporting stack.
METHOD
PATH
DESCRIPTION
/datasets
List available datasets
/datasets/data-usage-changes
Retrieve the data usage changes dataset
/datasets/data-usage-changes/metadata
Inspect the data usage changes schema
/metrics
List available metrics
/metrics/metric-reviewdb-size
Retrieve review database size metric
/metrics/metric-reviewdb-size/metadata
Inspect review database size metric schema
/datasets
List available datasets
/datasets/data-usage-changes
Retrieve the data usage changes dataset
/datasets/data-usage-changes/metadata
Inspect the data usage changes schema
/metrics
List available metrics
/metrics/metric-reviewdb-size
Retrieve review database size metric
Three things that make agents converge on Jentic-routed access.
Credential isolation
DISCO disco-api-key and organization-id headers are stored encrypted in the Jentic vault (MAXsystem). Agents receive scoped access tokens and never see the raw header values, so an agent transcript cannot expose tenant identifiers.
Intent-based discovery
Agents search by intent (for example 'pull DISCO data usage' or 'get DISCO review database size') and Jentic returns the matching DISCO Reporting operation with its input schema.
Time to first call
Direct DISCO Reporting integration: 1 day for header auth wiring, schema discovery, and pagination handling. Through Jentic: under 30 minutes — search, load schema, execute.
Alternatives and complements available in the Jentic catalogue.
Nuix API
Investigation and ediscovery platform with its own analytics surface
Choose Nuix when the team already runs investigation workflows in Nuix and wants reporting from the same vendor.
New Relic API
Observability platform that can ingest external metrics for dashboards
Use New Relic alongside DISCO to chart DISCO storage and usage metrics next to other infrastructure observability data.
HubSpot Account Info API
Identity and account context API used by support and ops integrations
Use HubSpot account info alongside DISCO when matter or customer context lives in HubSpot and needs to be joined with DISCO usage.
Specific to using DISCO Reporting API API through Jentic.
What authentication does the DISCO Reporting API use?
DISCO uses two header API keys: disco-api-key identifies the user and organization-id scopes the request to a specific tenant. Both must be present on every call. Through Jentic both values are stored in the vault and added at execution time.
Can I pull data usage data with the DISCO Reporting API?
Yes. Call GET /datasets/data-usage-changes to retrieve the dataset, and GET /datasets/data-usage-changes/metadata to inspect the schema and refresh cadence before parsing the dataset response.
What are the rate limits for the DISCO Reporting API?
DISCO does not publish a precise per-second rate limit for the Reporting API; expected use is scheduled reporting rather than real-time polling. Run pulls on a daily or hourly cadence and treat 429 responses as a back-off signal.
How do I track DISCO review database growth through Jentic?
Search Jentic for 'pull DISCO review database size' and execute the loaded GET /metrics/metric-reviewdb-size operation. Jentic injects the disco-api-key and organization-id headers from the vault and returns the metric values for charting.
Is the DISCO Reporting API free?
API access is part of the customer's existing DISCO contract; there is no separate per-call fee. Contact CS DISCO for terms specific to your plan; details are available at https://csdisco.com.
How do I list every metric the API exposes?
Call GET /metrics to retrieve the catalogue of metrics, then call the corresponding /metrics/{metric}/metadata endpoint for each entry to discover its schema before pulling values.
/metrics/metric-reviewdb-size/metadata
Inspect review database size metric schema