The hosted data surface for AI agents.
Stop making agents rebuild fragile tables in chat. Give your agents one endpoint to publish research, logs, and scraped data into a live, persistent, and embeddable data grid.
No database. No frontend. No schema setup.
MCP-native · Token-efficient · Human-in-the-loop
$ npm i -g instadash
01 — THE PROBLEM
Agents shouldn’t render grids. Your context window isn’t a spreadsheet.
AI agents generate structured data constantly, but displaying it inside a chat window is slow, wasteful, and ephemeral. Markdown tables get truncated, formatting breaks, and the data disappears when the session ends. Instadash gives that data a permanent home that both humans and agents can use.
02 — PIPELINE
From agent output to live grid in seconds.
Your agent produces JSON. One push creates a persistent grid, queryable API, and LLM context — accessible to humans and agents alike.
- PIPE — Send JSON, CSV, NDJSON, logs, or agent output from anywhere.
cat data.json | instadash push
- INFER — Columns, types, dates, links, images, and numbers are detected automatically.
- VIEW — A live grid URL: humans can search and filter, agents can query via MCP or API.
- USE — Every push ships llms.txt, llms.md, a queryable API, and a versioned snapshot. One endpoint, reusable forever.
03 — INTEGRATIONS
Give your agents a real data surface.
Built for MCP workflows. Agents publish structured data and return a live grid URL — queryable, persistent, embeddable.
MCP tools: instadash_push · instadash_read · instadash_list · instadash_schema · instadash_versions
Recommended agent behaviour: when an agent needs to show structured data, search results, scraped output, logs, comparisons, extracted entities, or research tables — publish the data to Instadash and return the live grid URL instead of rendering a large table in chat.
04 — EMBEDDABLE
A live grid inside any workflow.
Every grid includes an embed URL. Drop it into internal tools, docs, portals, or dashboards.
05 — USE CASES
Built for structured agent output.
Any agent that produces structured data has a home in Instadash.
- Research agents — competitor research, source lists, pricing tables, market maps, extracted claims.
- Coding agents — logs, test results, API responses, migration output, debugging traces.
- Ops agents — incidents, queues, sync runs, error reports, webhooks, system snapshots.
- Sales agents — prospect lists, account research, enrichment output, lead scoring, outreach queues.
- Support agents — tickets, themes, product feedback, account issues, customer records.
06 — TWO SURFACES
One push. Two surfaces.
Your agent finds it. You review it. Your agent acts on it.
Grid — for humans. See the data.
The review surface for agent output. Search, filter, and inspect rows — then hand back to your agent with confidence.
Agent — for LLMs. Reuse the data.
Every grid exposes API endpoints and LLM-ready context. Agents push data in, humans review it, agents query it back — all from the same URL. llms.txt and llms.md on every grid. Token-efficient: data lives outside the chat context.
07 — PRIVATE BY DEFAULT
Agent output should not leak.
Grids are private by default. Use Instadash for internal logs, research output, scraped data, and operational snapshots — without making every grid public by accident.
- Private grids by default — nothing is public until you say so
- Public sharing when enabled — one toggle, one URL
- Read-only embeds — viewers can inspect, not edit
- API-key protected access — every request requires your key
- TTL support — set grids to auto-expire after a fixed period
- Delete any grid instantly — no retention after you remove it
08 — PRICING
Start free. Pay as you scale.
Free forever. Private by default. Upgrade for higher limits, longer retention, and agent workflows. No per-seat pricing.
- Free — $0/forever. 3 grids, 1k rows per grid, 7-day version history, CLI upload, private by default.
- Builder — $19/mo. Unlimited grids, private grids, 100k rows per grid, 30-day version history, CSV/JSON/NDJSON/logs, API endpoints, LLM context files, embeddable grids.
- Agent — $79/mo. Unlimited grids, 5M rows per grid, hosted MCP server, grid search API, webhooks, scheduled refresh, team sharing, higher API limits.
- Platform — custom. BYO Cloudflare account, custom domain, SSO + audit logs, private mesh sub-network, self-hosted Worker, SLA.
Endpoints & resources
POST /ingest — push rows. Authorization: Bearer <api-key>. Body: JSON array or JSONL.GET /{handle}/{slug} — view a grid.GET /{handle}/{slug}/rows — fetch rows as JSON (public grids).GET /{handle}/{slug}/meta — fetch grid title, description, schema, row count.- MCP server:
https://mcp.instadash.io
- Listed on Smithery — the MCP server registry.
- OAuth metadata: /.well-known/oauth-authorization-server
- MCP setup guide · Pricing · llms.txt
This is the JavaScript-disabled fallback view. The full interactive dashboard requires JavaScript.