The X (formerly Twitter) API for AI agents
Veezee is a X (formerly Twitter) data API built to be USED by an agent, not just called from one: the agent calls it directly, no signup, and meters its own spend from every response. This page covers X (formerly Twitter): six tools over MCP or REST. Veezee also serves LinkedIn and Reddit on the same contract; see /docs/linkedin and /docs/reddit.
Working in one call, no signup
Most data APIs make a human sign up in a dashboard before an agent can do anything. Veezee does not:
curl "https://api.veezee.io/v1/x/profiles?identifier=nasa"No signup, no card, no key: that single call just returns data, under a shared budget of 20 credits per IP per day, recent data only. Over MCP, add https://mcp.veezee.io/x (streamable-http), same keyless budget, same six tools.
Past the daily budget, buy a key at /upgrade: pick a pack, pay, and the API key is shown exactly once on the confirmation page. Send it as Authorization: Bearer <api_key>.
The six tools
- x_search (6 credits): Search X (formerly Twitter). /docs/tools/x_search
- x_get_profile (4 credits): Get an X profile. /docs/tools/x_get_profile
- x_get_tweets (4 credits): Get an account's tweets. /docs/tools/x_get_tweets
- x_get_tweet (4 credits): Get one tweet with full metrics. /docs/tools/x_get_tweet
- x_resolve_url (2 credits): Identify an X URL. /docs/tools/x_resolve_url
- get_usage (0 credits): Check credits and recent charges. /docs/tools/get_usage
Ways in
Default path: use MCP when your host supports it, the SDK otherwise, REST as the fallback; the CLI and skills are conveniences layered on top of those.
Honest limits
This page covers the X (formerly Twitter) surface; Veezee also serves LinkedIn and Reddit with the same contract (see /docs/linkedin and /docs/reddit). On X (formerly Twitter): no batch tweet lookup, t.co links cannot be resolved offline, and people search returns a single page with no cursor. Purchases run through Stripe in TEST mode today (a $20.00 minimum purchase applies once live charging is enabled, a later and explicitly gated step).
Read next
- One-fetch machine-readable decision card: https://veezee.io/product.json
- Tool-selection eval evidence (dated, with prompts and models): https://veezee.io/evidence
- Credit prices, packs, and worked example costs: https://veezee.io/pricing