Integration
Connect Mailparser to District of Columbia Open Data
When something happens in Mailparser, your agent does the next thing in District of Columbia Open Data. Describe it in plain language and the automation is built, tested on every branch and kept running.
Build it
What do you want Mailparser and District of Columbia Open Data to do together?
Describe it and your agent reads both APIs, builds the automation, tests every branch and ships it. The list below is what exists today, not the limit.
Ask the assistant
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Install the APIANT plugin for Claude Code and build, edit, test and read run history from your terminal. Every plan gets this, including free, and it spends no assistant credits.
Connect Claude CodeEverything your agent can do with Mailparser and District of Columbia Open Data
Triggers and actions 2 triggers · 3 actions
Trigger
New Email Parsed (One Request Per Email)Triggered instantly when Mailparser finishes parsing an inbound email, with all of that email's parsed data delivered in a single request. In Mailparser, open your inbox and add a Generic Webhook under Integrations/Downstream Webhooks, paste the minted URL, and set Repeating Data Behaviour to "One request per Email". Parsed fields bind as {{ trigger.body.* }}. Use the One Request Per Row trigger instead when you are parsing tabular data and want each row handled as its own run.
- New Email Parsed (One Request Per Row)
Triggered instantly for EACH parsed table row when Mailparser finishes parsing an inbound email — one run per row, for tabular data such as invoice line items or price lists. In Mailparser, open your inbox and add a Generic Webhook under Integrations/Downstream Webhooks, paste the minted URL, and set Repeating Data Behaviour to "One request per row". That row's fields bind as {{ trigger.body.* }}. Use the One Request Per Email trigger instead when you want the whole email's parsed data in a single run.
Action
Find datasetsSearch the DC Open Data catalog for datasets by keyword, category, or tag, returning matching dataset ids, titles, and descriptions.
- Find records
Query a dataset's features/records with attribute filters, spatial filters, sorting, and paging, returning JSON or GeoJSON results.
- Get dataset
Get a dataset's metadata and field/schema definitions by dataset or layer id, so callers know what attributes can be filtered or returned.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.