Honest comparison

How we differ from Dimensions, GrantForward,
Citeline & PitchBook (bio).

We're not a bibliometrics platform, a trials-analytics suite, or a VC database. We sell the one thing they bury or price out of reach for a sales team: the fresh newly-funded-lab / new-trial GTM trigger, agent-callable, at a fraction of the cost.

✔ Last verified against NIH RePORTER & ClinicalTrials.gov: Jun 21, 2026

The honest table

DimensionDimensions / Digital ScienceGrantForwardCiteline / Pharma IntelligenceResearch Intelligence (us)
Annual price$10k–$50k+/yr~$1k–5k/yr (per institution)$25k–$100k+/yr$0 to browse · $300–$5k/mo
Primary jobBibliometrics / research analyticsGrant discovery for academicsTrial & drug-pipeline analyticsSales GTM triggers (newly-funded buyers)
Fresh new-grant trigger (Notice-of-Award dated)Indexed, laggedOpen RFPs (forward-looking)Limited grant coverageYes — daily, newest-first, source-dated
New-trial trigger by sponsor + phaseNoNoYes — deepYes — daily, with sponsor class
Cursor delta feed (only what changed)NoNoReport-styleYes — whats_changed_since(cursor)
Agent-callable (MCP)NoNoNoYes — native MCP, five tools
Webhook on a watched institution / PI / sponsorNoEmailEmailYes — real webhooks per watchlist
Self-serve, no sales callNoMostlyNoYes — invoice or crypto, key in 1 business day
Deep citation graph / author disambiguationYes — best-in-classNo — we are funding & trial events, not bibliometrics
Curated drug-pipeline / competitive analyticsYes — deep, analyst-curatedNo — we are the raw fresh trigger, not the analyst layer
Deep historical archive (decades)YesYesYesForward-compounding — change-history starts the day you do

Where they win, we say so. If you need bibliometrics buy Dimensions; if you need curated pipeline analytics buy Citeline; if you're an academic hunting grants buy GrantForward. If you're a sales team that needs to know the day a lab gets funded so you can reach them before competitors, that's us — and we're agent-callable and 1/10th–1/50th the price.

Accuracy & freshness — stated plainly

Source

100% public NIH RePORTER (federal grant record) and ClinicalTrials.gov (federal trial registry). Every row links to its source page. We add nothing we can't cite.

Freshness

Daily snapshot + diff. Grants surface by award-notice date; trials by study-first-posted date. Verified date shown on every page.

Change-history depth

Forward-only today. We started snapshotting recently, so the diff history is shallow now and deepens daily. We never claim a deep archive — that's Dimensions' / Citeline's game, not ours.

Topic tagging

Topics are a transparent keyword model over grant terms / trial conditions — a triage aid, not an ontology. The raw source text and link are always shown so you can verify.

We will not overstate. Grant and trial data are real and current. Our change-history accrues forward. Topic tags are heuristic and shown alongside the source so you can check them — never presented as a curated ontology.

The rest of the life-sciences intelligence stack

Biotech signals (cassandra-bio)

Cross-source biotech signals from grants, trials, and SEC 8-Ks. bio.dropwatchhq.com →

Overdue trial results

FDAAA-801 results-reporting compliance radar — which sponsors are overdue. trials.dropwatchhq.com →

New-funding feed (this product)

The fresh GTM-trigger core. Browse free →